Oral session: Structural and functional brain connectivity
Monday, May 27, 2024 at 3:30:00 PM GMT+3 – Monday, May 27, 2024 at 4:30:00 PM GMT+3
- Learning functional dynamics from a multilayer brain network (15m)
Defu Yang (University of North Carolina at Chapel Hill);
Jiaqi Zhao (Zhejiang Lab);
Minghan Chen (Wake Forest University);
Shuai Wang (Hangzhou Dianzi University);
Guorong Wu (UNC-CH);
Wentao Zhu (Zhejiang Lab)
- Preserving human large-scale brain connectivity fingerprint identifiability with random projections (15m)
Duy Duong-Tran (United States Naval Academy);
Li Shen (University of Pennsylvania)
- Anatomy-guided fiber trajectory distribution estimation for cranial nerves tractography (15m)
Lei Xie (Zhejiang University of Technology);
Qingrun Zeng (Zhejiang University of Technology);
Huajun Zhou (The Hong Kong University of Science and Technology);
Guoqiang Xie (NO.215 Hospital of Shaanxi nuclear industry);
mingchu Li (Capital Medical University Xuanwu Hospital);
Jianan Cui (Zhejiang University of Technology);
Hao Chen (The Hong Kong University of Science and Technology);
Yuanjing Feng (Zhejiang University of Technology)
- A novel deep clustering framework for fine-scale parcellation of amygdala using DMRI tractography (15m)
Haolin He (University of Electronic Science and Technology of China);
Ce Zhu (University of Electronic Science & Technology of China);
Yipeng Liu (University of Electronic Science and Technology of China);
Yuqian Chen (Harvard Medical School);
Yogesh Rathi (Harvard Medical School);
Lauren O’Donnell (Harvard Medical School);
Fan Zhang (University of Electronic Science and Technology of China)
Oral session: Model-driven classification and segmentation
Monday, May 27, 2024 at 3:30:00 PM GMT+3 – Monday, May 27, 2024 at 4:30:00 PM GMT+3
- Boosting Medical Image Classification with Segmentation Foundation Model (15m)
Pengfei Gu (University of Notre Dame);
Zihan Zhao (Tianjin University);
Hongxiao Wang (Capital Normal University);
Yaopeng Peng (University of Notre Dame);
Yizhe Zhang (Nanjing University of Science and Technology);
Nishchal Sapkota (University of Notre Dame);
Chaoli Wang (University of Notre Dame);
Danny Chen (University of Notre Dame)
- Text-guided Foundation Model Adaptation for Long-Tailed Medical Image Classification (15m)
Sirui Li (Southern University of Science and Technology);
Li Lin (Southern University of Science and Technology;
The University of Hong Kong);
Yijin Huang (University of British Columbia);
Pujin Cheng (Southern University of Science and Technology);
Xiaoying Tang (Southern University of Science and Technology)
- SAM-driven weakly supervised nodule segmentation with uncertainty-aware cross teaching (15m)
Xingyue Zhao (Xi’an Jiaotong University);
Xiangde Luo (University of Electronic Science and Technology of China);
Shi Chang (Central South University);
Zhongyu Li (Xi’an Jiaotong University)
- SimSAM: Zero-shot Medical Image Segmentation via Simulated Interaction (15m)
Benjamin Towle (University of Nottingham);
Xin Chen (University of Nottingham);
Ke Zhou (University of Nottingham)
Oral Session: Signal and image reconstruction
Monday, May 27, 2024 at 3:30:00 PM GMT+3 – Monday, May 27, 2024 at 4:30:00 PM GMT+3
- Learning the Domain Specific Inverse NUFFT for Accelerated Spiral MRI using Diffusion Models (15m)
Trevor Chan (University of Pennsylvania)
- Sparse signal reconstruction for overdispersed low-photon count biomedical imaging using $\ell_p$ total variation (15m)
Yu Lu (University of California, Merced); Roummel Marcia (University of California, Merced)
- Diffusion posterior sampling for synergistic reconstruction in spectral computed tomography (15m)
Corentin Vazia (Univ Bretagne Sud, LMBA);
Alexandre Bousse (University of Western Brittany);
Franck Vermet (Université de Bretagne Occidentale);
Dimitris Visvikis (LaTIM, Inserm)
- Fast Controllable Diffusion Models for Undersampled MRI Reconstruction (15m)
Wei Jiang (The University of Queensland);
Zhuang Xiong (The University of Queensland);
Nan Ye (The University of Queensland);
Hongfu Sun (University of Queensland)
Oral Session: Validation and Explainability
Monday, May 27, 2024 at 3:30:00 PM GMT+3 – Monday, May 27, 2024 at 4:30:00 PM GMT+3
- Super-TrustScore: Reliable Failure Detection for Automated Skin Lesion Diagnosis (15m)
Junayed Naushad (University of Oxford);
Irina Voiculescu (University of Oxford)
- Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains (15m)
Rizhong Lin (École Polytechnique Fédérale de Lausanne (EPFL) University Hospital (CHUV) and Tongji University);
Ali Gholipour (Boston Children’s Hospital);
Jean-Philippe Thiran (École Polytechnique Fédérale de Lausanne);
Davood Karimi (Harvard); Hamza Kebiri (University of Lausanne (UNIL);
Meritxell Bach Cuadra (Universtiy of Lausanne)
- Validating stroke lesion segmentation methods using MRI in children: transferability of deep learning models (15m)
Emma Lhermitte (Univeristé de Bretagne Occidentale)
- Bringing Interpretability and Medical Explainability to Deep Learning: Automatic Diagnosis of Age-Related Macular Degeneration (15m)
Lily Shi (The Harker School)
Oral session: MRI in Alzheimer’s disease
Monday, May 27, 2024 at 5:00:00 PM GMT+3 – Monday, May 27, 2024 at 6:00:00 PM GMT+3
- Pre-training graph attention convolution for brain structural imaging biomarker analysis and its application to Alzheimer’s disease pathology identification (15m)
Yi Su (Banner Alzheimer’s Institute);
Rahimeh Rouhi (Children’s Hospital Los Angeles);
Mohammad Farazi (Arizona State University);
Wenhui Zhu (Arizona State University);
Yanxi Chen (Arizona State University);
Eric M. Reiman (Banner Alzheimer’s Institute and Banner Good Samaritan PET Center);
Yalin Wang (Arizona State University);
Natasha Lepore (Children’s Hospital Los Angeles)
- PVTAD: Alzheimer’s disease diagnosis using pyramid vision transformer applied to white matter of t1-weighted structural MRI data (15m)
Serdar Bozdag (University of North Texas);
Fahad Saeed (Florida International University)
- Multi-scale 3D Convolutional LSTM for Longitudinal Alzheimer’s Disease Identification (15m)
Zhenghua Guan (Shenzhen University);
Xuegang Song (Shenzhen University);
Peng Yang (Shenzhen University);
Jiaqiang Li (Shenzhen University);
Bao Yang (Shenzhen University);
Tianfu Wang (Shenzhen university);
Baiying Lei (Shenzhen University)
- Diffusion MRI Allows Capturing the Amyloid-β and 𝜏 Proteins Status in Alzheimer’s Disease Continuum (15m)
Giorgio Dolci (University of Verona);
Federica Cruciani (University of Verona);
Lorenza Brusini (University of Verona);
Ilaria Boscolo Galazzo (University of Verona);
Vince Calhoun (TReNDS);
Gloria Menegaz (University of Verona)
Oral Session: Dual modality deep learning
Monday, May 27, 2024 at 5:00:00 PM GMT+3 – Monday, May 27, 2024 at 6:00:00 PM GMT+3
- Dual representation learning from fetal ultrasound video and sonographer audio (15m)
Mourad Gridach (University of Oxford);
Mohammad Alsharid (University of Oxford and Khalifa University);
Jianbo Jiao (University of Oxford);
Lior Drukker (University of Oxford);
Aris Papageorghiou (University of Oxford);
Alison Noble (University of Oxford) - Medical knowledge-enabled multi-task learning for gastric cancer survival prediction (15m)
Degan Hao (University of Pittsburgh);
Qiong Li (The First Affiliated Hospital with Nanjing Medical University);
Yudong Zhang (The first affiliated hospital of Nanjing Medical University);
Shandong Wu (Department of Radiology, Biomedical Informatics, and Bioengineering, University of Pittsburgh) - PE-MVCNet: Multi-view and Cross-modal Fusion Network for Pulmonary Embolism Prediction (15m)
Zhaoxin Guo (hangzhou dianzi University);
Zhipeng Wang (HangZhou DianZi University);
Ruiquan Ge (Hangzhou Dianzi University);
Jianxun Yu (Dalian Polytechnic University);
Feiwei Qin (Hangzhou Dianzi University);
Yuan Tian (Shenzhen Longgang District People’s Hospital of Shenzhen);
Yuqing Peng (Shenzhen Institutes of Advanced Technology，Chinese Academy of Sciences);
Yonghong Li (Shenzhen Institute of Information Technology);
Changmiao Wang (Shenzhen Research Institute of Big Data) - Enlarged Perivascular Spaces in Frontal and Temporal Cortical Regions Characterize Seizure Outcome after Traumatic Brain Injury (15m)
CELINA ALBA (USC);
Paul Vespa (UCLA);
Dominique Duncan (USC)
Oral session: Machine learning and data mining
Monday, May 27, 2024 at 5:00:00 PM GMT+3 – Monday, May 27, 2024 at 6:00:00 PM GMT+3
- Measuring Feature Dependency of Neural Networks by Collapsing Feature Dimensions in the Data Manifold (15m)
Yinzhu Jin (University of Virginia);
Matthew Dwyer (University of Virginia);
Thomas Fletcher (University of Virginia)
- Weighted Graph Convolutional Network for Biomedical Relation Extraction (15m)
Zhiqiang Wang (Institute of Automation，Chinese Academy of Sciences) - Reinforcement Learning for Medical Image Classification Based on Deep Deterministic Policy Gradients (15m)
Ahmad Chaddad (ETS & GUET);
Jiang yuchen (GUET) - MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning (15m)
Jiarun Liu (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences);
Hong-Yu Zhou (Harvard University);
Cheng Li (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciencess);
Weijian Huang (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences);
Hao Yang (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences);
Hairong Zheng (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences);
Shanshan Wang (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences)
Oral session: Novel deep learning and machine learning methods for image segmentation
Monday, May 27, 2024 at 5:00:00 PM GMT+3 – Monday, May 27, 2024 at 6:00:00 PM GMT+3
- Weakly Supervised Zero-shot Medical Image Segmentation Using Pretrained Medical Language Models (15m)
Danfeng Guo (University of California, Los Angeles);
Demetri Terzopoulos (University of California, Los Angeles) - CTranS: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation (15m)
ZHENDI GONG (University of Nottingham);
Andrew French (University of Nottingham);
Guoping Qiu (University of Nottingham);
Xin Chen (University of Nottingham) - Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis (15m)
Shenyuan Liang (Florida State University);
Mauricio Pamplona Segundo (University of South Florida);
Sathyanarayanan Aakur (Auburn University);
Sudeep Sarkar (University of South Florida, Tampa);
Anuj Srivastava (Florida State University) - A weighted consensus deep learning method for the fusion of object segmentation models and its application to glomeruli of the mouse olfactory bulb (15m)
Yu Weng (Max Planck Research Unit for Neurogenetics); Volker Blanz (University of Siegen)
Oral session: Deep learning methods and decision support (I)
Monday, May 27, 2024 at 5:00:00 PM GMT+3 – Monday, May 27, 2024 at 6:00:00 PM GMT+3
- Self-Supervised Alignment Learning for Medical Image Segmentation (15m)
Haofeng Li (Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong (Shenzhen));
Yiming Ouyang (Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong (Shenzhen));
Xiang Wan (Shenzhen Research Institute of Big Data, the Chinese University of Hong Kong (Shenzhen)) - Dual self-distillation of U-shaped networks for 3D medical image segmentation (15m)
Soumyanil Banerjee (Wayne State University);
Ming Dong (Wayne State University);
Carri Glide-Hurst (University of Wisconsin-Madison) - Differentially Private Graph Neural Networks for Medical Population Graphs and the Impact of the Graph Structure (15m)
Tamara Mueller (Technical University Munich);
Ameya Daigavane (Massachusetts Institute of Technology);
Daniel Rueckert (Technische Universität München);
Georgios Kaissis (Technische Universität München) - Integrating expert knowledge with vision-language model for medical image retrieval (15m)
Xiaoyang Wei (Université Paris Cité);
Zografoula Vagena (Universite Paris Cite);
Camille Kurtz (Université Paris Cité);
Florence Cloppet (Université Paris Cité)
Oral session: Image synthesis
Tuesday, May 28, 2024 at 8:30:00 AM GMT+3 – Tuesday, May 28, 2024 at 10:00:00 AM GMT+3
- Synthesizing study-specific controls using generative models on open access datasets for harmonized multi-study analyses (15m)
Shruti Gadewar (USC); Alyssa Zhu (University of Southern California);
Iyad Ba Gari (University of Southern California);
Sophia Thomopoulos (Imaging Genetics Center, University of Southern California);
Paul Thompson (Imaging Genetics Center);
Talia Nir (Imaging Genetics Center);
Neda Jahanshad (University of Southern California) - DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection (15m)
Sergio Naval Marimont (City, University of London);
Matthew Baugh (Imperial College London);
Vasilis Siomos (City, University of London);
Christos Tzelepis (City, University of London);
Bernhard Kainz (Imperial College London, FAU Erlangen-Nürnberg);
Giacomo Tarroni (City, University of London) - Reconstructing Retinal Visual Images from 3T fMRI Data Enhanced by Unsupervised Learning (15m)
Yujian Xiong (Arinza State University);
Wenhui Zhu (Arizona State University);
Zhong-Lin Lu (New York University);
Yalin Wang (Arizona State University) - DiffGEPCI: 3D MRI Synthesis from mGRE Signals using 2.5D Diffusion Model (15m)
Yuyang Hu (Washington university in st-louis);
Weijie Gan (Washington University in St. Louis);
Ulugbek Kamilov (Washington University in St. Louis) - Generative Adversarial Learning for OCT-TPM Vascular Domain Translation (15m)
Rafat Damseh (UAEU);
Nadia Badawi (UAEU);
Jaloliddin Rustamov (United Arab Emirates University);
Zahiriddin Rustamov (United Arab Emirates University);
Frederic Lesage (Polytechnique Montreal);
Nazar Zaki (UAEU) - Assessing the Efficacy of Invisible Watermarks in AI-Generated Medical Images (15m)
Xiaodan Xing (Imperial College London);
Huiyu Zhou (University of Leicester);
Yingying Fang (Imperial College London);
Guang Yang (Imperial College London)
Oral session: Image reconstruction
Tuesday, May 28, 2024 at 8:30:00 AM GMT+3 – Tuesday, May 28, 2024 at 10:00:00 AM GMT+3
- A Continuous-Domain Solution for Computed Tomography with Hessian Total- Variation Regularization (15m)
Mehrsa Pourya (EPFL);
Michael Unser (EPFL) - Deep Image prior with StruCtUred Sparsity (DISCUS) for dynamic MRI reconstruction (15m)
Xuan Lei (Ohio state university);
Rizwan Ahmad (The Ohio State University) - A high-frequency re-optimization network for MRI reconstruction with CT as the prior (15m)
Wenlei Shang (ShanghaiTech University);
Ying Cheng (ShanghaiTech University);
Guohua Cao (ShanghaiTech University) - TC-DiffRecon: Texture coordination MRI reconstruction method based on diffusion model and modified MF-UNet method (15m)
Chenyan Zhang (Hangzhou Dianzi University);
Yifei Chen (Hangzhou Dianzi University);
Zhenxiong Fan (Hangzhou Dianzi University);
Wenchao Weng (Hangzhou Dianzi University);
Ruiquan Ge (Hangzhou Dianzi University);
Dong Zeng (Southern Medical University);
Changmiao Wang (Shenzhen Research Institute of Big Data) - End-to-End Model-based Deep Learning for Dual-Energy Computed Tomography Material Decomposition (15m)
Alessandro Perelli (University of Dundee) - Local monotone operator learning using non-monotone operators: MnM-MOL (15m)
Maneesh John (University of Iowa);
Jyothi Rikhab Chand (University of Iowa);
Mathews Jacob (University of Iowa)
Oral session: Dynamic MRI
Tuesday, May 28, 2024 at 8:30:00 AM GMT+3 – Tuesday, May 28, 2024 at 10:00:00 AM GMT+3
- Cardiac cine MRI motion correction using diffusion models (15m)
Yang Liu (ShanghaiTech University);
Haikun Qi (ShanghaiTech University) - Robust Outer Volume Subtraction with Deep Learning Ghosting Detection for Highly-Accelerated Real-Time Dynamic MRI (15m)
Merve Gulle (University of Minnesota);
Mehmet Akcakaya (University of Minnesota) - Multimodal Learning To Improve Cardiac Late Mechanical Activation Detection From Cine MR Images (15m)
Jiarui Xing (University of Virginia);
Nian Wu (University of Virginia);
Frederick Epstein (University of Virginia);
Miaomiao Zhang (University of Virginia) - Sparsity Constrained Linear Tangent Space Alignment Model (LTSA) for 3D Cardiac Extracellular Volume Mapping (15m)
Ismael Mounime (Massachusetts General Hospital);
Wonil Lee (MGH);
Thibault Marin (Harvard Medical School);
Pietro Gori (Télécom Paris);
Elsa Angelini (Telecom Paris);
Chao Ma (Massachusetts General Hospital) - Simultaneous DCE-DSC-MRI using low-rank-regularized model-based reconstruction of DCE and DSC components (15m)
Pavel Rajmic (Brno University of Technology) - PI-GNN: physics-informed graph neural network for super resolution of 4D flow MRI (15m)
Amirkhosro Kazemi (University of Louisville);
Amir Amini (university of Louisville)
Oral session: Surgery guidance/planning
Tuesday, May 28, 2024 at 8:30:00 AM GMT+3 – Tuesday, May 28, 2024 at 10:00:00 AM GMT+3
- Towards Real-time vessel guided Augmented reality for liver surgery (15m)
Sidaty El Hadramy (Inria);
Juan Verde (IHU Strasbourg);
Nicolas Padoy (University of Strasbourg);
Stephane Cotin (Inria) - DNA-DIR: 2D-3D geometry embedding for intraoperative partial-to-full registration (15m)
Dai Sun (University of Science and Technology of China) ;
Lan Li (University of Science and Technology of China) ;
Hongyu Qiu (University of Science and Technology of China) ;
Zhao Zhang (University of Science and Technology of China) ;
Shang Zhao (University of Science and Technology of China) ;
Kevin Zhou (USTC)
- Dose aware toxicity prediction in head and neck cancer patients using a deformable 3D CNN on daily CBCT acquisitions (15m)
Gautier Henique (Polytechnique Montréal ) ;
William Le (Polytechnique Montréal) ;
Samuel Kadoury (Polytechnique Montréal) - Statistical shape model guided virtual reduction of displaced distal radius fractures (15m)
Jana Osstyn (University of Antwerp) ;
Femke Danckaers (Vision Lab, Modelling Group – University of Antwerp) ;
Jan Sijbers (University of Antwerp) - Real time lung tumor tracking based on biomechanical modeling and LSTM network models of the respiratory movement for radiation therapy (15m)
HAMID LADJAL (LIRIS université Lyon 1) ;
Behzad Shariat (LIRIS université Lyon 1) - Learning breast tissue prone-to-supine displacement for surgical planning with convolutional neural networks (15m)
Felicia Alfano (Universidad Politécnica de Madrid) ;
David Bermejo-Peláez (Spotlab) ;
Andres Santos (Universidad Politécnica de Madrid) ;
Javier Pascau (Universidad Carlos III de Madrid) ;
Maria Ledesma-Carbayo (Universidad Politécnica de Madrid)
Oral Session: Foundation models
Tuesday, May 28, 2024 at 8:30:00 AM GMT+3 – Tuesday, May 28, 2024 at 10:00:00 AM GMT+3
- A Foundation Model for General Moving Object Segmentation in Medical Images (15m)
Zhongnuo Yan (Shenzhen University);
Yuhao Huang (shenzhen university);
Lian Liu (Shenzhen University);
Han Zhou (Shenzhen University);
Jiongquan Chen (Shenzhen University);
Xin Yang (Shenzhen University);
Dong Ni (“Shenzhen University, China”) - Where to Begin? From Random to Foundation Model Instructed Initialization in Federated Learning for Medical Image Segmentation (15m)
Ming Li (Imperial College London); Guang Yang (Imperial College London) - Novel OCT mosaicking pipeline with feature- and pixel-based registration (15m)
Jiacheng Wang (Vanderbilt University);
Hao Li (Vanderbilt University);
Dewei Hu (Vanderbilt University);
Yuankai Tao (Vanderbilt University);
Ipek Oguz (Vanderbilt University) - PROMISE: Prompt-driven 3D medical image segmentation using pretrained image foundation models (15m)
Hao Li (Vanderbilt University);
Han Liu (Vanderbilt University);
Dewei Hu (Vanderbilt University);
Jiacheng Wang (Vanderbilt University);
Ipek Oguz (Vanderbilt University) - MAKEN: Improving Medical Report Generation with Adapter Tuning and Knowledge Enhancement in Vision-Language Foundation Models (15m)
Shibin Wu (Tsinghua University);
Bang Yang (Peking University);
Zhiyu Ye (Peng Cheng Laboratory);
Haoqian Wang (Tsinghua Shenzhen International Graduate School, Tsinghua University);
Hairong Zheng (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences);
Tong Zhang (Peng Cheng Labortory) - SAMIHS: Adaptation of Segment Anything Model for Intracranial Hemorrhage Segmentation (15m)
Yinuo Wang (Beihang University);
Weimin Yuan (BeiHang University);
Cai Meng (Beihang University);
Xiangzhi Bai (Beihang University)
Oral session: Deep learning methods and decision support (II)
Tuesday, May 28, 2024 at 8:30:00 AM GMT+3 – Tuesday, May 28, 2024 at 10:00:00 AM GMT+3
- HARNESSING CONVOLUTIONAL NEURAL NETWORKS FOR DIAGNOSING POST- SBRT RADIATION-INDUCED LUNG INJURY FROM X-RAY CT (15m)
Benjamin Veasey (University of Louisville);
Aryan Ghazipour (University of Louisville);
Tyler Settle (University of Louisville);
Amir Amini (university of Louisville) - SSVT: Self-Supervised Vision Transformer For Eye Disease Diagnosis Based On Fundus Images (15m)
Luigi Occhipinti (University of Cambridge) - Semi-Supervised Learning of Visual Attributes for Automated Assessment of Lung Nodule Malignancy (15m)
Liyun Chen (Shanghai Jiao Tong University);
Linlin Yao (Shanghai Jiao Tong University);
Qian Wang (ShanghaiTech University);
Zhong Xue (Shanghai United Imaging Intelligence Co., Ltd) - A novel approach to Unveil Hidden Stratification in Osteoporosis SR-microCT Image Classification (15m)
Isabella Poles (Politecnico di Milano);
Eleonora D’Arnese (Politecnico di Milano);
Marco Domenico Santambrogio (Politecnico di Milano) - DCSM 2.0: DEEP CONDITIONAL SHAPE MODELS FOR DATA EFFICIENT SEGMENTATION (15m)
Athira Jacob (Siemens Healthineers);
Puneet Sharma (Siemens Healthineers);
Daniel Rueckert (Technische Universität München) - Automatic pelvic structure restoration: a sim-to-real approach via recursive pose estimation network (15m)
Sutuke Yibulayimu (Beihang University);
Yudi Sang (Rossum Robot);
Yanzhen Liu (Beihang university);
Yu Wang (Beihang University);
Chunpeng Zhao (Beijing Jishuitan Hospital)
Oral session: Biological structural and cellular segmentation
Tuesday, May 28, 2024 at 2:00:00 PM GMT+3 – Tuesday, May 28, 2024 at 3:30:00 PM GMT+3
- Blind Color Deconvolution and Classification of Histological Images Using the Hyperbolic Secant Prior (15m)
Francisco Castro-Macías (Universidad de Granada);
Fernando Pérez Bueno (Universidad de Granada);
Miguel Vega (University of Granada);
Javier Mateos (University of Granada);
Rafael Molina (University of Granada, Spain);
Aggelos Katsaggelos (Northwestern University) - A Novel ViT-based Multi-scaled and Rotation-Invariance Approach for Precise Differentiation between Meningioma and Solitary Fibrous Tumor (15m)
Mohamed Azam (University of Louisville);
Hossam Magdy Balaha (University of Louisville);
Mohammed Ghazal (Abu Dhabi University);
Dibson Gondim (University of Louisville);
Ayman El-Baz (University of Louisville) - A Joint Scale Analysis and Machine Learning Framework for Cell Detection and Segmentation in Time Lapse Microscopy (15m)
Nagasoujanya Annasamudram (Delaware State University);
Sokratis Makrogiannis (Delaware State University) - AWGUNet: Attention-aided Wavelet Guided U-net for nuclei segmentation in histopathology images (15m)
Ayush Roy (Jadavapur University); Payel Pramanik (Jadavpur University);
Dmitrii Kaplun (Saint Petersburg Electrotechnical University “LETI”);
Ram Sarkar (Jadavpur University) - U-HRMLP: Refining Segmentation Boundaries in Histopathology Images (15m)
Tao Wang (Jilin University);
Kai Zhang (Shandong Normal University);
Weijie Wang (university of trento);
Mingrui Ma (Jilin University);
Ye Zhang (Northeast Normal University);
Guixia Liu (Jilin University) - Domain Adaptive Synapse Detection with Weak Point Annotations (15m)
Qi Chen (University of Science and Technology of China);
Wei Huang (University of Science and Technology of China);
Yueyi Zhang (University of Science and Technology of China);
Zhiwei Xiong (University of Science and Technology of China)
Oral session: Machine learning and image uncertainty
Tuesday, May 28, 2024 at 2:00:00 PM GMT+3 – Tuesday, May 28, 2024 at 3:30:00 PM GMT+3
- Navigating Uncertainty in Medical Image Segmentation (15m)
Kilian Zepf (Technical University of Denmark, DTU Compute);
Jes Frellsen (Technical University of Denmark);
Aasa Feragen (Technical University of Denmark) - Transduction Enhanced Inductive Inference for Imbalanced Classification in Medical Images (15m)
Yizhe Zhang (Nanjing University of Science and Technology);
Tao Zhou (Nanjing University of Science and Technology);
Ye Wu (Nanjing University of Science and Technology);
Shuo Wang (Digital Medicial Research Center, Schoool of Basic Medical Sciences, Fudan University);
Danny Chen (University of Notre Dame) - Boosting skull-stripping performance for pediatric brain images (15m)
William Kelley (Massachusetts General Hospital);
Adrian Dalca (MIT); Bruce Fischl (MGH);
Malte Hoffmann (Harvard Medical School) - 3D Multi-eXpert Fusion Framework For Prostate Segmentation In 3D TRUS Imaging (15m)
Clément BEITONE (TIMC Lab, Grenoble Alpes University-CNRS);
Jocelyne Troccaz (“TIMC Lab, Grenoble Alpes University-CNRS”) - Surf-CDM: Score-Based Surface Cold-Diffusion Model For Medical Image Segmentation (15m)
Fahim Ahmed Zaman (University of Iowa);
Mathews Jacob (University of Iowa);
Amanda Chang (University of Iowa);
Milan Sonka (“U Iowa, USA”);
Xiaodong Wu (University of Iowa) - A Deep Learning Framework to Mitigate Label Uncertainty for Epileptogenic Zone Localization Using Rsfmri Connectivity (15m)
Naresh Nandakumar (JHU);
David Hsu (University of Wisconsin-Madison);
Raheel Ahmed (University of Wisconsin-Madison);
Archana Venkataraman (Johns Hopkins University)
Oral session: Deep learning approaches for image segmentation
Tuesday, May 28, 2024 at 2:00:00 PM GMT+3 – Tuesday, May 28, 2024 at 3:30:00 PM GMT+3
- CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion (15m)
Fenghe Tang (University of Science and Technology of China);
Jianrui Ding (Harbin Institute of Technology);
Quan Quan (Institute of Computing Technology, Chinese Acadamy of Sciences);
Kevin Zhou (USTC)
- Semi-supervised medical image segmentation via Multi-Group Network with Consistency among Heterogeneous Loss supervision (15m)
Ping Ye (University of Electronic Science and Technology of China);
He Li (uestc);
Shaoting Zhang (Shanghai AI Lab);
Guotai Wang (University of Electronic Science and Technology of China) - E-TRANSUNET: ENHANCED TRANSUNET FOR MEDICAL IMAGE SEGMENTATION (15m)
ZiJun Zhang (大连理工大学);
Xuanheng Li (Dalian University of Technology);
Xiaohong Ma (Dalian University of Technology);
Yi Sun (Dalian University of Technology) - U-Attention Nested U-Transformer for Medical Image Segmentation (15m)
Haichao Peng (Xiamen University);
Wenkang Fan (Xiamen University);
Xiongbiao Luo (Xiamen University);
Rui Li (Xiamen Zhongshan Hospital) - Dual Bidirectional Copy-Paste with Shape Constraint for Semi-supervised Image Segmentation (15m)
Bowei Shen (university of shanghai for science and technology);
Xiaoquan Huang (Fudan University);
Yonghong Shi (Fudan University);
Shiyao Chen (Fudan University) - Semi-ConTrans: Semi-Supervised Medical Image Segmentation via Multi-scale Feature Fusion and Cross Teaching of CNN and Transformer (15m)
Weiren Zhao (UESTC (University of Electronic Science and Technology of China));
Lanfeng Zhong (UESTC (University of Electronic Science and Technology of China));
Guotai Wang (University of Electronic Science and Technology of China)
Oral session: Emerging methods for trustworthy AI
Tuesday, May 28, 2024 at 4:00:00 PM GMT+3 – Tuesday, May 28, 2024 at 5:30:00 PM GMT+3
- Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision- Language Models (15m)
Cristiano Patrício (Universidade da Beira Interior);
Luis Teixeira (INESC TEC and University of Porto);
João Neves (University of Beira Interior, NOVA-LINCS) - MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis (15m)
Yitao Zhu (ShanghaiTech University);
Zhenrong Shen (Shanghai Jiao Tong University);
Zihao Zhao (ShanghaiTech University);
Sheng Wang (Shanghai Jiao Tong University);
Xin Wang (Shanghai Jiao Tong University);
Xiangyu Zhao (Shanghai Jiao Tong University);
Dinggang Shen (ShanghaiTech University);
Qian Wang (ShanghaiTech University) - USING UNLABELED DATA IN SELF-SUPERVISED TRAINING IMPROVES AUTOMATIC VERTEBRAL BODY FRACTURE ASSESSMENT (15m)
Julian Laue (L3S Research Center);
Eren Yilmaz (Kiel University);
Carsten Meyer (Ostfalia) - PRIVACY-PRESERVING VISUALIZATION OF BRAIN FUNCTIONAL NETWORK CONNECTIVITY (15m)
Ye Tao (Rutgers University);
Anand Sarwate (Rutgers University);
Sandeep Panta (Georgia State Universtiy);
Sergey Plis (Georgia State University);
Vince Calhoun (TReNDS) - A Data-Driven Solution for the Cold Start Problem in Biomedical Image Classification (15m)
Miroslav Březík (Helmholtz Munich);
Sayedali Shetab Boushehri (Roche Diagnostics GmbH)
Oral session: Machine learning and image quality
Tuesday, May 28, 2024 at 4:00:00 PM GMT+3 – Tuesday, May 28, 2024 at 5:30:00 PM GMT+3
- Hybrid single-pixel camera for dynamic hyperspectral imaging (15m)
Thomas Maitre (CREATIS);
Nicolas Ducros (University of Lyon / Biomedical Imaging Research Lab);
Elie Bretin (Institut Camille Jordan and INSAde Lyon);
Michaël Sdika (CREATIS) - Single Image Compressed Sensing MRI via a Self-Supervised Deep Denoising Approach (15m)
Marlon Bran Lorenzana (The University of Queensland);
Feng Liu (The University of Queensland);
Shekhar Chandra (University of Queensland) - MD-IQA: Learning Multi-scale Distributed Image Quality Assessment with Semi Supervised Learning for Low Dose CT (15m)
Tao Song (Fudan University);
Ruizhi Hou (East China Normal University);
Lisong Dai (Shanghai Jiaot Tong University);
Lei Xiang (subtle Medical, Inc) - Unsupervised Stabilization of Smartphone-based Quantitative Pupillometry for Mobile Emergency Medicine (15m)
Jizhou Li (City University of Hong Kong) - Automated classification of multi-parametric body MRI series (15m)
Boah Kim (National Institute of Health);
Tejas Sudharshan Mathai (National Institutes of Health (NIH));
Ronald Summers (NIH) - Multi-scale Adaptive Transformer for Image Deblurring in Magnetic Particle Imaging (15m)
Fan Yang (CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences);
Liwen Zhang (CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences);
Jiaxin Zhang (CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China);
Jie Tian (CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China);
Hui Hui (Institute of Automation, Chinese Academy of Sciences)
Oral session: Brain connectivity
Tuesday, May 28, 2024 at 4:00:00 PM GMT+3 – Tuesday, May 28, 2024 at 5:30:00 PM GMT+3
- LaSCL-PLC: Lesion-Aware Supervised Contrastive Learning for Patient-Level Classification of Brainstem and Cerebellar Hemangioblastomas (15m)
Botao Zhao (Ping An Technology (Shenzhen) Co., Ltd.);
Shengfeng Liu (Zhejiang Lab);
Jing Zhang (Zhejiang Lab);
Shengjie Zhang (Fudan University);
Yu Zhang (Zhejiang Lab);
Xiao-Yong Zhang (Fudan University) - Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI (15m)
Pablo Laso (Martinos Center, HMS);
Stefano Cerri (University of Copenhagen);
Annabel Sorby-Adams (Massachusetts General Hospital and Harvard Medical School);
Jiaming Wu (University College London);
Peirong Liu (Harvard Medical School);
Hongwei Li (Harvard Medical School);
Benjamin Billot (MIT); Kevin Sheth (Yale);
Matthew Rosen (MGH/Martinos Center);
Nicola Strisciuglio (University of Twente);
Jelmer Wolterink (University of Twente);
Arman Eshaghi (Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London);
Frederik Barkhof (University College London);
William Kimberly (Massachusetts General Hospital);
Juan Eugenio Iglesias (UCL) - Learning Dynamic Brain Connectome with Graph Transformers for Psychiatric Diagnosis Classification (15m)
Byung-Hoon Kim (Yonsei University College of Medicine);
Jungwon Choi (KAIST);
Eunggu Yun (KAIST);
Kyungsang Kim (Massachusetts General Hospital and Harvard Medical School);
Xiang Li (Massachusetts General Hospital and Harvard Medical School);
Juho Lee (KAIST) - EPDIFF-JF-NET: ADJOINT JACOBI FIELDS FOR DIFFEOMORPHIC REGISTRATION NETWORKS (15m)
Ubaldo Ramon-Julvez (University of Zaragoza);
Monica Hernandez (University of Zaragoza);
Elvira Mayordomo (University of Zaragoza) - Generation of anatomy-realistic 4D infant brain atlases with tissue maps using generative adversarial networks (15m)
Kaibo Tang (UNC Chapel Hill);
Fenqiang Zhao (DAMO Academy, Alibaba Group);
Weili Lin (UNC Chapel Hill);
Li Wang (UNC);
Gang Li (University of North Carolina at Chapel Hill) - Dynamic Fusion of Multimodal MRI Data Captures Flexible, Time-Sensitive Structure-Function Linkages in the Brain (15m)
Marlena Duda (TReNDS Center);
Oktay Agcaoglu (TReNDS);
Vince Calhoun (TReNDS)
Oral Session: Image segmentation
Tuesday, May 28, 2024 at 4:00:00 PM GMT+3 – Tuesday, May 28, 2024 at 5:30:00 PM GMT+3
- Continuous max-flow augmentation of self-supervised few-shot learning on SPECT left ventricles (15m)
Adam Szucs (Eötvös Loránd University) - A2DMN: Anatomy-Aware Dilated Multiscale Network for Breast Ultrasound Semantic Segmentation (15m)
Kyle Lucke (University of Idaho);
Aleksandar Vakanski (University of Idaho);
Min Xian (University of Idaho) - FEATURES FUSION FOR DUAL-VIEW MAMMOGRAPHY MASS DETECTION
Evgeny Sidorov (Lomonosov Moscow State University) - MEDICAL IMAGE SEGMENTATION USING DIRECTIONAL WINDOW ATTENTION (15m)
Daniya Kareem (MBZUAI);
Mustansar Fiaz (IBM Research);
Noa Novershtern (Weizmann institute);
Hisham Cholakkal (MBZUAI) - Modality-Agnostic Learning for Medical Image Segmentation Using Multi-modality Self-distillation (15m)
Qisheng He (Wayne State University);
Nicholas Summerfield (University of Wisconsin-Madison);
Ming Dong (Wayne State University);
Carri Glide-Hurst (University of Wisconsin-Madison) - Improving Vertebrae Segmentation using a Centroid Detection-guided Transformer-based Network (15m)
Sevde Aydogdu (UCL);
Ka Yung (University College London);
Danail Stoyanov (UCL);
Evangelos Mazomenos (University College London)
Oral session: Tumor detection and classification
Wednesday, May 29, 2024 at 8:30:00 AM GMT+3 – Wednesday, May 29, 2024 at 10:00:00 AM GMT+3
- MM-DCNet: A multi-scale and multi-modality dynamic convolutional network for lung cancer subtypes classification (15m)
Gege Ma (Zhejiang Lab);
Tianling Lyu (Zhejiang Lab);
Geng Chen (Northwestern Polytechnical University);
Jiaqi Zhao (Zhejiang Lab) - KNOWLEDGE-GUIDED MULTI-TASK LEARNING FOR BREAST CANCER DIAGNOSIS USING LONGITUDINAL MAMMOGRAM IMAGES (15m)
Zhengbo Zhou (University of pittsburgh);
Dooman Arefan (University of Pittsburgh);
Margarita Zuley (University of Pittsburgh);
Degan Hao (University of Pittsburgh);
Shandong Wu (Department of Radiology, Biomedical Informatics, and Bioengineering, University of Pittsburgh) - Radiomics and mechanistic hybrid model for prediction of recurrence in prostate cancer (15m)
Hilda Chourak (University of Rennes, CLCC Eugène Marquis, INSERM, LTSI – UMR 1099);
Pierre Fontaine (Univ Rennes, CHU Rennes, CLCC Eugène Marquis, Inserm, LTSI – UMR 1099,F-35000 Rennes, France);
Oscar Acosta (Laboratoire Traitement du Signal et de l’Image, Rennes, France);
Carlos Sosa-Marrero (Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI – UMR 1099, F-35000 Rennes) - Automatic Endoscopy Classification by fusing Depth estimations and image Information (15m)
Diego Bravo (Universidad Nacional de Colombia);
Josue Ruano (Universidad Nacional de Colombia);
Maria Jaramillo (Universidad Nacional de Colombia);
Sebastian Medina-Carrillo (Universidad Nacional de Colombia);
Fabio Gonzalez (Universidad Nacional de Colombia, Colombia);
Eduardo Romero (Universidad Nacional de Colombia) - MEDICAL IMAGING USING TERAHERTZ SPECTROSCOPY FOR CANCER DIAGNOSIS (15m)
Heather Song (University of Colorado Colorado Springs) - Unifying Local and Global Shape Descriptors to Grade Soft-Tissue Sarcomas using Graph Convolutional Networks (15m)
Johannes Kiechle (Technical University of Munich);
Stefan Fischer (Technical University Munich);
Julia Schnabel (Technical University of Munich / Helmholtz Center Munich);
Jan Peeken (Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM));
Sarah Foreman (TUM); Marcus Makowski (Technische Universität München);
Stephanie Combs (Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM));
Alexandra Gersing (Technical University of Munich)
Oral session: CT Image segmentation
Wednesday, May 29, 2024 at 8:30:00 AM GMT+3 – Wednesday, May 29, 2024 at 10:00:00 AM GMT+3
- Rethinking Intermediate Layers design in Knowledge Distillation for Kidney and Liver Tumor Segmentation (15m)
Vandan Gorade (Northwestern University);
Sparsh Mittal (IIT Roorkee);
Debesh Jha (Northwestern University);
Ulas Bagci (Northwestern University) - Coarse to Refined Kidney Segmentation Leveraging the SDRLSE Algorithm (15m)
Kun Huang (University of Science and Technology of China) - FDNet: Feature Decoupled Segmentation Network for Tooth CBCT Image (15m)
Xiang Feng (HangZhouDianZi univerisity);
Chengkai Wang (Hangzhou Dianzi University);
Chengyu Wu (Shandong University);
Yunxiang Li (UT Southwestern Medical Center);
Shuai Wang (Hangzhou Dianzi University);
Yaqi Wang (Communication University of Zhejiang) - CONUNETR: A CONDITIONAL TRANSFORMER NETWORK FOR 3D MICRO-CT EMBRYONIC CARTILAGE SEGMENTATION (15m)
Nishchal Sapkota (University of Notre Dame);
Yejia Zhang (University of Notre Dame);
Yuhan Hsi (Penn State UNiversity);
Sirui Li (Southern University of Science and Technology);
Danny Chen (University of Notre Dame) - MSI-UNet: A Flexible UNet-based Multi-scale Interactive Framework for 3D Gastric Tumor Segmentation on CT Scans (15m)
Heyun Chen (Peking University);
Zifan Chen (Peking University);
Jie Zhao (Peking University);
Haoshen Li (Peking university);
Jiazheng Li (Department of Radiology, Peking University Cancer Hospital and Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education));
Yiting Liu (Department of Radiation Peking University School of Oncology, Beijing Cancer Hospital & Institute Key laboratory of Carcinogenesis and Translational Research (Ministry of Education));
Mingze Yuan (Peking University);
Peng Bao (Peking University);
Xinyu Nan (Peking University);
Bin Dong (Peking University);
Lei Tang (Department of Radiation Peking University School of Oncology, Beijing Cancer Hospital & Institute Key laboratory of Carcinogenesis and Translational Research (Ministry of Education));
Li Zhang (Peking University) - CT Liver Segmentation via PVT-based Encoding and Refined Decoding
Debesh Jha (Northwestern University);
Nikhil Tomar (Indira Gandhi National Open University);
Koushik Biswas (Northwestern University);
Matthew Antalek (Northwestern University, Feinberg School of Medicine, Department of Radiology);
Yury Velichko (Northwestern University);
Ulas Bagci (Northwestern University)
Oral session: Ultrasound imaging
Wednesday, May 29, 2024 at 8:30:00 AM GMT+3 – Wednesday, May 29, 2024 at 10:00:00 AM GMT+3
- Spatially-weighted inverse formulation for enhanced ultrasound attenuation imaging (15m)
Sebastian Merino (Pontificia Universidad Católica del Perú);
Roberto Lavarello (Pontificia Universidad Catolica del Peru) - IMPROVED ULTRASOUND LOCALIZATION MICROSCOPY USING DEEP LEARNING ENHANCED BEAMFORMER (15m)
Lijie Huang (Tsinghua University);
Hengrong Lan (Tsinghua University);
Rui Wang (Tsinghua University);
Xingyue Wei (Tsinghua University);
Jianwen Luo (Tsinghua University) - SUPER-RESOLUTION ULTRASOUND IMAGING OF TUMOR ANGIOGENESIS AND EVALUATION OF TREATMENT RESPONSE TO A VASCULAR DISRUPTING AGENT (15m)
Katherine Brown (University of Texas at Dallas) - ULTRASOUND LOCALIZATION MICROSCOPY OF THE BRAIN: THE MISSING MICRO VASCULATURE (15m)
Stephen Lee (Polytechnique Montréal);
Jonathan Poree (Polytechnique Montreal) - Zoom is Meaningful: Discerning Ultrasound Images’ Zoom Levels (15m)
Mohammad Alsharid (University of Oxford and Khalifa University);
Robail Yasrab (University of Oxford);
Md. Mostafa Kamal Sarker (University of Oxford);
Lior Drukker (University of Oxford);
Aris Papageorghiou (University of Oxford);
Alison Noble (University of Oxford) - Ultrasound Phantom of a Carotid Bifurcation Tumor using Multiple 3D Printed Soluble Filaments (15m)
Christian Huber (Department of Otorhinolaryngology, Head and Neck Surgery, Section of Experimental Oncology and Nanomedicine, Professorship for AI- Controlled Nanomaterials, Universitätsklinikum Erlangen, Germany);
Martin Vossiek (Institute of Microwaves and Photonics, University of Erlangen and Nurnberg)
Oral session: Anatomical segmentation
Wednesday, May 29, 2024 at 4:00:00 PM GMT+3 – Wednesday, May 29, 2024 at 5:30:00 PM GMT+3
- ConfLUNet: Improving Confluent Lesion Identification in Multiple Sclerosis with Instance Segmentation (15m)
Maxence Wynen (UCLouvain, ICTEAM, ELEN, PiLab);
Maxime Istasse (UCLouvain, ICTEAM, ELEN, ISPGroup);
Benoit Macq (UCLouvain);
Meritxell Bach Cuadra (Universtiy of Lausanne) - HCA-Net: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling (15m)
Afshin Bozorgpour (University of Regensburg);
Reza Azad (RWTH University);
Yury Velichko (Northwestern University);
Ulas Bagci (Northwestern University);
Dorit Merhof (University of Regensburg) - DBAHNet: Dual-Branch Attention-based Hybrid Network for High-Resolution 3D Micro-CT Bone Scan Segmentation (15m)
Amine Lagzouli (QUT; UPEC);
Alice OTHMANI (UPEC) - SATR: A STRUCTURE-AFFINITY ATTENTION-BASED TRANSFORMER ENCODER FOR SPINE SEGMENTATION (15m)
Hao Xie (The Hong Kong Polytechnic University);
Frank Leung;
Ngai Fong Law;
Yakun Ju (Nanyang Technological University);
Steve Ling (University of Technology Sydney) - Retinal Layer Segmentation Using 1D+2D U-Net from OCT Images (15m)
Tsubasa Konno (Tohoku University);
Kanta Miura (Tohoku University);
Koichi Ito (Tohoku University);
Takafumi Aoki (Tohoku University) - CROP AND COUPLE: CARDIAC IMAGE SEGMENTATION USING INTERLINKED SPECIALIST NETWORKS (15m)
Abbas Khan (Queen Mary University of London);
Muhammad Asad (Queen Mary University of London);
Martin Benning (University College London);
Gregory Slabaugh (Queen Mary University of London)
Oral session: Cerebrovascular MRI and fMRI
Wednesday, May 29, 2024 at 4:00:00 PM GMT+3 – Wednesday, May 29, 2024 at 5:30:00 PM GMT+3
- DIFFUSION MODELS WITH ENSEMBLED STRUCTURE-BASED ANOMALY SCORING FOR UNSUPERVISED ANOMALY DETECTION (15m)
Finn Behrendt (Hamburg University of Technology);
Debayan Bhattacharya (Hamburg University of Technology);
Julia Krüger (jung diagnostics GmbH);
Roland Opfer (jung diagnostics GmbH);
Robin Mieling (Hamburg University of Technology);
Alexander Schlaefer (Hamburg University of Technology) - Localization of epileptogenicity using incomplete MRI sequence data in children with seizure onset zone involving temporal lobe (15m)
Soumyanil Banerjee (Wayne State University);
Qisheng He (Wayne State University);
Ming Dong (Wayne State University);
Eishi Asano (Wayne State University);
Jeong-Won Jeong (Wayne State University) - DS-COFFEE-Net: Dual-Stage COrrespondence-based Feature Fusion Edge Enhanced Network for Super-Resolution of CEST-MR Images (15m)
Wenxuan Chen (Tsinghua University);
Sirui Wu (Tsinghua university);
Zhongsen Li (Tsinghua University);
Shuai Wang (Tsinghua University) - MODALITY-AGNOSTIC STYLE TRANSFER FOR HOLISTIC FEATURE IMPUTATION (15m)
Seunghun Baek (POSTECH);
Jaeyoon Sim (POSTECH);
Mustafa Dere (UNC);
Minjeong Kim (University of North Carolina at Greensboro);
Guorong Wu (University of North Carolina);
Won Hwa Kim (POSTECH) - Semi-supervised cerebrovascular segmentation using TOF-MRA images based on label refinement and consistency regularization (15m)
Haibin Huang (Institute of Automation, Chinese Academy of Sciences);
Yue Cui (Institute of Automation, Chinese Academy of Sciences);
Mingxia Shi (Institute of Automation,Chinese Academy of Sciences);
Shan Yu (Brainnetome Center and NLPR;University of Chinese Academy of Sciences;CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences;) - COUPLING BETWEEN TIME-VARYING EEG SPECTRAL BANDS AND SPATIAL DYNAMIC fMRI NETWORKS (15m)
Souvik Phadikar (Center for Translational Research in Neuroimaging and Data Science (TReNDS));
Krishna Pusuluri (GEORGIA STATE UNIVERSITY);
Lei Wu (Georgia State University);
Armin Iraji (Georgia State University);
Vince Calhoun (TReNDS)
Oral Session: Biological cell and bacteria tracking
Wednesday, May 29, 2024 at 4:00:00 PM GMT+3 – Wednesday, May 29, 2024 at 5:30:00 GMT+3
- Transfer Learning Approach For Detecting Breast Cancer Tumour Subtypes In Whole-Slide Images (15m)
Claudia Mazo (Dublin City University) - Characterising borderline areas in bladder tumour grading with Bayesian graph neural networks (15m)
Shangqi Gao (University of Cambridge);
Jens Rittscher (Oxford);
Clare Verrill (University of Oxford) - Deep Asymmetric Mixture Model for Unsupervised Cell Segmentation (15m)
Yang Nan (Imperial College London);
Guang Yang (Imperial College London) - Bacteria Tracking and Division Detection Using Graph Neural Networks (15m)
Moritz Kunzmann (University of Heidelberg);
Karl Rohr (University of Heidelberg, DKFZ) - AN ITERATIVE FREQUENCY-BASED APPROACH FOR GELMAP GRID DEFORMATION CORRECTION (15m)
Vincent Hellebrekers (Utrecht University) - An Automated Pipeline for Tumour-Infiltrating Lymphocyte Scoring in Breast Cancer (15m)
Adam Shephard (University of Warwick);
Mostafa Jahanifar (University of Warwick);
Ruoyu Wang (University of Warwick);
Muhammad Dawood (University of Warwick);
Simon Graham (University of Warwick);
Ali Khurram (University of Sheffield);
Nasir Rajpoot (University of Warwick);
Shan Raza (University of Warwick)
Oral session: Multimodality fusion
Thursday, May 30, 2024 at 8:30:00 AM GMT+3 – Thursday, May 30, 2024 at 9:30:00 AM GMT+3
- Multi-scale Co-attention Transformer Model to Integrate Radiology, Histology, and Genomics: Application to Survival Prediction in Glioblastoma (15m)
Olivia Krebs (Case Western Reserve University) - Optimizing Skin Lesion Classification via Multimodal Data and Auxiliary Task Integration (15m)
Mahapara Khurshid (Indian Institute of Technology, Jodhpur);
Mayank Vatsa (IIT Jodhpur);
Richa Singh (IIT Jodhpur) - ICHPro: Intracerebral Hemorrhage Prognosis Classification via Joint-Attention Fusion-based 3D Cross-Modal Network (15m)
Xinlei Yu (Hangzhou Dianzi University);
Xinyang LI (The Chinese University of Hong Kong, Shenzhen);
Ruiquan Ge (Hangzhou Dianzi University);
Shibin Wu (Ping An Technology);
Ahmed Elazab (Shenzhen University);
Jichao Zhu (Longgang District Central Hospital of Shenzhen);
Lingyan Zhang (Lab of Molecular Imaging and Medical Intelligence，Department of Radiology, Longgang Central Hospital of Shenzhen);
Gangyong Jia (Hangzhou Dianzi University);
Taosheng Xu (Hefei Institutes of Physical Science, Chinese Academy of Sciences);
Xiang Wan (Shenzhen Research Institute of Big Data, the Chinese University of Hong Kong (Shenzhen));
Changmiao Wang (Shenzhen Research Institute of Big Data) - Auditory fiber bundle parcellation using text-prompted decomposition networks (15m)
Jinchen Gu (ShanghaiTech University);
Yaoxuan Wang (Shanghai Ninth People’s Hospital, Shanghai Jiaotong University School of Medicine);
Caiwen Jiang (ShanghaiTech University);
Jiameng Liu (ShanghaiTech University);
Feihong Liu (Northwest University);
Dinggang Shen (ShanghaiTech University)
Oral session: MRI and brain diseases
Thursday, May 30, 2024 at 8:30:00 AM GMT+3 – Thursday, May 30, 2024 at 9:30:00 AM GMT+3
- Explainable Dementia Prediction Using Functional Neuroimages and Risk Factors (15m)
Zhuoyu Shi (University of North Carolina at Chapel Hill);
Tingting Dan (The university of north carolina at chapel hill);
Guorong Wu (UNC-CH) - Neurodegenerative Disease Prediction via Transferable Deep Networks (15m)
Yanfu Zhang (William and Mary);
Runxue Bao (University of Pittsburgh);
Guodong Liu (University of Pittsburgh);
Liang Zhan (University of Pittsburgh);
Paul Thompson (Imaging Genetics Center);
Heng Huang (University of Maryland at College Park) - MILD COGNITIVE IMPAIRMENT CLASSIFICATION USING A NOVEL FINER-SCALE BRAIN CONNECTOME (15m)
Yanjun Lyu (University of Texas at Arlington);
Lu Zhang (University of Texas at Arlington);
Xiaowei Yu (University of Texas at Arlington);
Chao Cao (University of Texas at Arlington);
Tianming Liu (University of Georgia);
Dajiang Zhu (University of Texas at Arlington) - Spatial Sequence Attention Network for Schizophrenia Classification from Structural Brain MR Images (15m)
Vince Calhoun (TReNDS); Dong Hye Ye (Georgia State University)
Oral session: Histopathological and electron microscopy imaging
Thursday, May 30, 2024 at 8:30:00 AM GMT+3 – Thursday, May 30, 2024 at 9:30:00 AM GMT+3
- Pushing the limits of cell segmentation models for imaging mass cytometry (15m)
Kimberley Bird (University of Lincoln);
Xujiong Ye (University of Lincoln);
Alan Race (AstraZeneca);
James Brown (University of Lincoln) - Relationship between Nuclear Invaginations and Mitochondria in HeLa cells observed with Electron Microscopy (15m)
Daniel Brito-Pacheco (Universidad Autonoma de Yucatan);
Constantino Carlos Reyes-Aldasoro (City University of London) - Automatic Report Generation for Histopathology images using pre-trained Vision Transformers and BERT (15m)
Saurav Sengupta (University of Virginia);
Donald Brown (University of Virginia) - How many labels do I need? Self-supervised learning strategies for multiple blood parasites classification in microscopy images (15m)
Roberto Mancebo-Martín (Spotlab);
David Bermejo-Peláez (Spotlab)
Oral session: Skin image analysis
Thursday, May 30, 2024 at 8:30:00 AM GMT+3 – Thursday, May 30, 2024 at 9:30:00 AM GMT+3
- IMPROVING ACNE IMAGE GRADING WITH LABEL DISTRIBUTION SMOOTHING (15m)
Alexandr A. Kalinin (Broad Institute of MIT and Harvard) - Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts (15m)
Shiyi Du (Carnegie Mellon University);
Xiaosong Wang (Shanghai AI Laboratory);
Yongyi Lu (Guangdong University of Technology);
Yuyin Zhou (UC Santa Cruz);
Shaoting Zhang (Shanghai AI Lab);
Alan Yuille (Johns Hopkins University);
Kang Li (West China Hospital-SenseTime Joint Lab, West China Biomedical Big Data Center, Sichuan University West China Hospital, Chengdu, China);
Zongwei Zhou (Johns Hopkins University) - A Tiered Quadruplet Network with Patient-Specific Mining and Dynamic Margin for Improved Ugly Duckling Lesion Classification (15m)
Dilmi Naranpanawa (The University of Queensland);
Peter Soyer; Zongyuan Ge (Monash);
Shekhar Chandra (University of Queensland) - Spatial Reasoning Loss for Weakly Supervised Segmentation of Skin Histological Images (15m)
Mateus Sangalli (Mines Paris, PSL University)
Oral session: X-ray methods and applications
Thursday, May 30, 2024 at 8:30:00 AM GMT+3 – Thursday, May 30, 2024 at 9:30:00 AM GMT+3
- Long-tailed multi-label classification with noisy label of thoracic diseases from chest X-ray (15m)
Haoran Lai (University of Science and Technology of China);
Qingsong Yao (Institute of Computing Technology, CAS);
Zhiyang He (Xunfei Healthcare Technology Co., Ltd.);
Xiaodong Tao (Xunfei Healthcare);
S. Kevin Zhou (USTC) - BS-DIFF: EFFECTIVE BONE SUPPRESSION USING CONDITIONAL DIFFUSION MODELS FROM CHEST X-RAY IMAGES (15m)
Zhanghao Chen (Hangzhou Dianzi University);
Yifei Sun (Hangzhou Dianzi University);
Wenjian Qin (Shenzhen Institutes of Advanced Technology);
Ruiquan Ge (Hangzhou Dianzi University);
Cheng Pan (Sanda University);
WenMing Deng (National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital＆Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College);
Zhou Liu (Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences);
Wenwen Min (Yunnan University);
Ahmed Elazab (Shenzhen University);
Xiang Wan (Shenzhen Research Institute of Big Data, the Chinese University of Hong Kong (Shenzhen));
Changmiao Wang (Shenzhen Research Institute of Big Data) - LOW-RESOLUTION CHEST X-RAY CLASSIFICATION VIA KNOWLEDGE DISTILLATION AND MULTI-TASK LEARNING (15m)
Yasmeena Akhter (IIT Jodhpur);
Rishabh Ranjan (IITJ);
Richa Singh (IIT Jodhpur);
Mayank Vatsa (IIT Jodhpur) - Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays using Self-Supervised Learning (15m)
Daniel Capellán-Martín (Universidad Politécnica de Madrid);
Abhijeet Parida (Childrens National);
Juan José Gómez (UPM);
Ramon Sanchez-Jacob (Children’s National Hospital);
Pooneh Roshanitabrizi (Children’s National Hospital);
Marius George Linguraru (Children’s National Hospital);
Maria Ledesma-Carbayo (Universidad Politécnica de Madrid);
Syed Anwar (Children National Hospital, Washington DC, USA 20010)
Oral session: Deep learning and generative AI
Thursday, May 30, 2024 at 8:30:00 AM GMT+3 – Thursday, May 30, 2024 at 9:30:00 AM GMT+3
- Content-aware Adversarial Network with Gradient-enhanced Dose Rectification for Radiotherapy Dose Prediction (15m)
Zhenghao Feng (Sichuan University);
Lu Wen (Sichuan University);
Binyu Yan (Sichuan University);
Jiliu Zhou (Sichuan University);
Yan Wang (Sichuan University) - Fast-Track of F-18 Positron paths simulations with GANs (15m)
Youness Mellak (LaTIM, Inserm UMR 1101, Universit ́e de Bretagne Occidentale, Brest);
Alexandre Bousse (University of Western Brittany);
Dimitris Visvikis (LaTIM, Inserm);
Julien Bert (LaTIM, Inserm) - Cross-platform Super-resolution for Human Coronary OCT Imaging using Deep Learning (15m)
Xueshen Li (Stevens Institute of Technology);
Yuye Ling (Shanghai Jiao Tong University);
Yu Gan (Stevens Institute of Technology) - Nowhere to hide: Toward robust reactive medical adversarial defense (15m)
Qingsong Yao (Institute of Computing Technology, CAS);
Zecheng He (Princeton University);
Xiaodong Yu (National University of Singapore);
S. Kevin Zhou (USTC)
Oral session: Optical, MRI and CT synthesis approaches
Thursday, May 30, 2024 at 3:00:00 PM GMT+3 – Thursday, May 30, 2024 at 4:30:00 PM GMT+3
- High-resolution 3D CT synthesis from bidirectional X-ray Images using 3D Diffusion Model (15m)
Siyeop Yoon (Massachusetts General Hospital and Harvard Medical School);
Jayanth Pratap (Massachusetts General Hospital and Harvard Medical School);
Matthew Tivnan (Massachusetts General Hospital);
Hui Ren (HMS/MGH);
Quanzheng Li (Massachusetts General Hospital and Harvard Medical School);
Xiang Li (Massachusetts General Hospital and Harvard Medical School) - DCE-FORMER: A TRANSFORMER-BASED MODEL WITH MUTUAL INFORMATION AND FREQUENCY-BASED LOSS FUNCTIONS FOR EARLY AND LATE RESPONSE PREDICTION IN PROSTATE DCE-MRI (15m)
Sadhana S (Indian Institute of Technology Madras);
Arunima Sarkar (IIT Madras);
Keerthi Ram (Healthcare Technology Innovation Centre, Indian Institute of Technology, Madras);
Naga Gayathri Matcha (Indian Institute of Technology Madras);
Mohanasankar Sivaprakasam (Indian Institute of Technology, Madras) - Self-Supervised Noise-Aware Kernel Synthesis for Improved X-ray Computed Tomography Imaging (15m)
Hemant Kumar Aggarwal (GE HealthCare);
Rajesh Langoju (GE HealthCare) - Brain MRI synthesis using StyleGAN2-ADA (15m)
Matteo Lai (University of Bologna);
Stefano Diciotti (University of Bologna) - Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation (15m)
Yuli Wu (RWTH Aachen University);
Dennis Eschweiler (RWTH Aachen University);
Peter Walter (RWTH Aachen University);
Johannes Stegmaier (RWTH Aachen University) - PAIRED DIFFUSION: GENERATION OF RELATED, SYNTHETIC PET-CT- SEGMENTATION SCANS USING LINKED DENOISING DIFFUSION PROBABILISTIC MODELS
Rowan Bradbury (University of Oxford);
Katherine Vallis (Oxford University);
Bartlomiej Papiez (University of Oxford)
Oral session: Biological tissue characterization
Thursday, May 30, 2024 at 3:00:00 PM GMT+3 – Thursday, May 30, 2024 at 4:30:00 PM GMT+3
- An Expert-driven Data Generation Pipeline for Histological Images (15m)
Roberto Basla (Politecnico di Milano);
Loris Giulivi (Politecnico Di Milano);
Luca Magri (Politecnico di Milano);
Giacomo Boracchi (Politecnico di Milano) - Detecting symmetry in ascidian embryo (15m)
Grégoire Malandain (INRIA) - Continuous cell cycle representation using ordinal regression and siamese network from quantitative phase images (15m)
Alexandr Kondratiev (Tokyo University) - Finding Out and Quantifying Nuclei Differences in Metaplastic Gastric Glands and Surrounding Nuclei (15m)
Ricardo Moncayo (Universidad Nacional de Colombia);
Maria Jaramillo (Universidad Nacional de Colombia);
Leidy Molano (Universidad Nacional de Colombia);
Fabio Gonzalez (Universidad Nacional de Colombia, Colombia);
Eduardo Romero (Universidad Nacional de Colombia) - Robust Approximate Characterization of Single-Cell Heterogeneity in Microbial Growth (15m)
Richard Paul (Forschungszentrum Jülich);
Johannes Seiffarth (Forschungszentrum Jülich);
Hanno Scharr (Forschungszentrum Juelich) - Transformer-Based Neural Network for Joint Affine and Non-Rigid Registration of Temporal Live Cell Microscopy Images (15m)
Kerem Celikay (Biomedical Computer Vision Group);
Karl Rohr (University of Heidelberg, DKFZ)
Oral session: Brain neural networks
Thursday, May 30, 2024 at 3:00:00 PM GMT+3 – Thursday, May 30, 2024 at 4:30:00 PM GMT+3
- Spectral brain graph neural network for prediction of anxiety in children with Autism Spectrum Disorder (15m)
Peiyu Duan (Yale University);
Nicha Dvornek (Yale University);
Jiyao Wang (Yale University);
Yuexi Du (Yale University);
James Duncan (Yale University) - An Approach to Survival Analysis in Glioma using Intra-Regional Ratiometric MR Image Features (15m)
Subham Chakraborty (IIT Madras) - MODELLING SPATIO-TEMPORAL FEATURES OF TASK FMRI DATA VIA SPATIO- TEMPORAL FUSION-TRANSFORMER (15m)
Yudan Ren (Northwest University);
Zhenqing Ding (Northwest University);
Ruonan Yang (Northwest University);
Kexin Wang (Northwest University);
Kexin Sun (Northwest University);
Xiao Li (Northwest university);
Xiaowei He (Northwest University) - IDENTIFYING FUNCTIONAL BRAIN NETWORKS UNDER NATURALISTIC PARADIGM VIA A THREE-DIMENSIONAL SPATIAL ATTENTION CONVOLUTION AUTOENCODER (15m)
Yudan Ren (Northwest University);
Song Yin (Northwest University);
Zhengyang Liu (Northwest University);
Kexin Wang (Northwest University);
Mingnan Le (School of Information Science and Technology, Northwest University);
Wei Zhang (School of Information Science and Technology, Northwest University);
Xiao Li (Northwest university) - Rethinking Dual-Domain Undersampled MRI reconstruction: domain-specific design from the perspective of the receptive field (15m)
Ziqi Gao (University of Science and Technology of China);
Kevin Zhou (USTC) - FOD-Swin-Net: angular super resolution of fiber orientation distribution using a transformer-based deep model (15m)
Mateus Oliveira da Silva (UNICAMP);
Diedre Carmo (UNICAMP);
Leticia Rittner (University of Campinas)
Oral session: Vascular image analysis
Thursday, May 30, 2024 at 3:00:00 PM GMT+3 – Thursday, May 30, 2024 at 4:30:00 PM GMT+3
- CLINICAL RISK-AWARE MULTI-LEVEL GRADING FOR CORONARY ARTERY STENOSIS THROUGH CURVED FEATURE RECONSTRUCTION (15m)
Shishuang Zhao (Yizhun Medical AI Co., Ltd);
Hongtai Li (The first hospital of China Medical University);
Haoning Sun (Peking University People’s Hospital);
Jian Liu (Peking University People’s Hospital);
Libin Liang (Xi’an Jiaotong University);
Yuhang Liu (Yizhun Medical AI Co., Ltd) - Deep Supervision by Gaussian Pseudo-label-based Morphological Attention for Abdominal Aorta Segmentation in Non-Contrast CTs (15m)
Qixiang Ma (Université de Rennes);
Antoine Lucas (Univ Rennes, CHU Rennes, Inserm, LTSI – UMR 1099);
Adrien Kaladji (Department of Cardiothoracic and Vascular Surgery, CHU rennes, 35033 Rennes, France);
Pascal Haigron (” LTSI, Rennes, France”) - Unsupervised Domain Adaptation for Brain Vessel Segmentation through Transwarp Contrastive Learning (15m)
Fengming Lin (University of Leeds);
Yash Deo (University of Leeds);
Michael MacRaild (University of Leeds);
Haoran Dou (University of Leeds);
Qiongyao Liu (University of Leeds);
KUN WU (University of Leeds);
Nishant Ravikumar (University of Leeds);
Alejandro Frangi (University of Manchester) - TSI-Net: A Timing Sequence Image Segmentation Network for Intracranial Artery Segmentation in Digital Subtraction Angiography (15m)
Lemeng Wang (Beijing University of Posts and Telecommunications);
Wentao Liu (Beijing University of Posts and Telecommunications);
Weijin Xu (Beijing University of Posts and Telecommunications);
Li Haoyuan (beijing university of post and telegram);
Huihua Yang (Beijing University of Posts and Telecommunications) - Vascular Topology Rectification Network for Automated Retinal Artery/Vein Segmentation (15m)
Zhan Heng (University of New South Wales);
Maurice Pagnucco (UNSW);
Erik Meijering (University of New South Wales);
Yang Song (University of New South Wales) - Learning Disentangled Representation for Vessel-Specific Coronary Artery Calcium Scoring (15m)
Junjie Hou (Yizhun Medical AI Co., Ltd);
Nianxi Liao (Yizhun Medical AI Co., Ltd);
Jia Liu (Peking university first hospital);
Yuhang Liu (Yizhun Medical AI Co., Ltd);
Jianxing Qiu (Peking university first hospital)
Oral session: Feature extraction and classification in histopathology images
Wednesday, May 29, 2024 at 8:30:00 AM GMT+3 – Wednesday, May 29, 2024 at 10:00:00 AM GMT+3
- Improving mitosis detection on histopathology images using large vision-language models (15m)
Ruiwen Ding (University of California, Los Angeles)
Neil Tenenholtz (Microsoft Research)
Kristen Severson (Microsoft Research) - Unleashing the Infinity Power of Geometry: A Novel Geometry-Aware Transformer (GOAT) for Whole Slide Histopathology Image Analysis (15m)
Mingxin Liu (Department of Computer Science and Technology, Heilongjiang University )
Yunzan Liu (Heilongjiang University)
Pengbo Xu (Heilongjiang University )
Jiquan Ma (Heilongjiang University) - Tumor segmentation on whole slide images: training or prompting? (15m)
Huaqian Wu (Witsee)
Cedric Clouchoux (Witsee) - A Pipeline for Histopathology Analysis of Prostate Cancer Guided by Mass Spectrometry Imaging (15m)
Jose Luna (Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis) - Reducing Histopathology Slide Magnification Improves the Accuracy and Speed of Ovarian Cancer Subtyping (15m)
Jack Breen (University of Leeds)
Kieran Zucker (University of Leeds)
Nishant Ravikumar (University of Leeds) - LOW-RESOURCE FINETUNING OF FOUNDATION MODELS BEATS STATE-OF-THE-ART IN HISTOPATHOLOGY (15m)
Benedikt Roth (Technical University of Munich)
Valentin Koch (Helmholtz Munich)
Sophia Wagner (Helmholtz AI)
Julia Schnabel (Technical University of Munich / Helmholtz Center Munich)
Carsten Marr (Helmholtz Munich)
Tingying Peng (TUM)
Oral session: Multimodality fusion (I)
Wednesday, May 29, 2024 at 16:00:00 PM GMT+3 – Wednesday, May 29, 2024 at 17:30:00 PM GMT+3
- Path-GPTOmic: A Balanced Multi-modal Learning Framework for Survival Outcome Prediction (15m)
Hongxiao Wang (Capital Normal University)
Zhuo Zhao (University of Notre Dame)
Pengfei Gu (University of Notre Dame)
Nishchal Sapkota (University of Notre Dame)
Danny Chen (University of Notre Dame) - 3D MULTI-MODALITY FREE-HAND ULTRASOUND IMAGING FOR MEDICAL RESEARCH (15m)
shen enxiang (shenenxiang)
Jie Yuan (Nanjing University) - FOAA: Flattened Outer Arithmetic Attention for Multimodal Tumor Classification (15m)
Omnia Alwazzan (Queen Mary University of London)
Ioannis Patras (Queen Mary University of London)
Gregory Slabaugh (Queen Mary University of London) - WEAKLY SUPERVISED CROSS-MODAL LEARNING IN HIGH-CONTENT SCREENING (15m)
Cohen Ethan (ecole normale supérieur)
Guillaume BOLLOT (SYNSIGHT)
Auguste Genovesio (École Normale Superieure) - Parkinson’s Disease Classification Using Contrastive Graph Cross-View Learning with Multimodal Fusion of SPECT Images and Clinical Features (15m)
Jun-En Ding (Stevens institute of Technology)
Feng Liu (Stevens Institute of Techcnology) - IMAGE SYNTHESIS OF HEPATOBILIARY PHASE USING CONTRAST-ENHANCED MRI AND DIFFUSION MODEL (15m)
Feilin Deng (School of Medical Information Engineering, Guangzhou University of Chinese Medicine)
Wu Zhou (Guangzhou University of Chinese Medicine)