Best student paper award finalists

ISBI 2024 Best Paper Award Finalists Announced!

We are happy to announce the thirty (30) finalists for ISBI24 Best Paper Awards!

This year a total of six (6) prizes will be awarded, three (3) for the Best Papers in Oral Presentations and three (3) for the Best Papers in Poster Presentations.

Awards in each category (oral, poster) consist of one-time monetary prizes: 3,000 USD for first place, 2,000 USD for second place, and 1,000 USD for third place.

Please note that, to be eligible for an award in either category, the first author has to be a student or an early career professional, and to present the work in-person at ISBI24.


Finalists for Best Paper Award in Oral Presentations

[paper ID, title, name of first author, and country are shown for each submission]

  1. [661] Ultrasound phantom of a carotid bifurcation tumor using multiple 3D printed soluble filaments, Christian Marinus Huber, Germany
  2. [720] Dual self-distillation of U-shaped networks for 3D medical image segmentation, Soumyanil Banerjee, USA
  3. [837] DNA-DIR: 2D-3D geometry embedding for intraoperative partial-to-full registration, Dai Sun, China
  4. [868] A continuous-domain solution for computed tomography with Hessian total-variation regularization, Mehrsa Pourya, Switzerland
  5. [877] SimSAM: zero-shot medical image segmentation via simulated interaction, Benjamin Towle, UK
  6. [928] Super-resolution ultrasound imaging of tumor angiogenesis and evaluation of treatment response to a vascular disrupting agent, Dominique James, USA
  7. [939] Mild cognitive impairment classification using a novel finer-scale brain connectome, Yanjun Lyu, USA
  8. [1002] Synthesizing study-specific controls using generative models on open access datasets for harmonized multi-study analyses, Shruti P. Gadewar, USA
  9. [1013] A high-frequency re-optimization network for MRI reconstruction with CT as the prior, Wenlei Shang, China
  10. [1022] Retinal layer segmentation using 1D+2D U-Net from OCT images, Tsubasa Konno, Japan
  11. [1307] DCSM 2.0: deep conditional shape models for data efficient segmentation, Athira Jacob, USA-Germany-UK
  12. [1366] PI-GNN: physics-informed graph neural network for super resolution of 4D flow MRI, Amirkhosro Kazemi,USA



Finalists for Best Paper Award in Poster Presentations

[paper ID, title, name of first author, and country are shown for each submission]

  1. [59] Self-supervised denoising of diffusion MRI data via spatio-angular noise2noise, Haotian Jiang, China
  2. [120] Multi-scale clinical-guided binocular fusion framework for predicting new-onset hypertension over a four-year period, Haoshen Li, China
  3. [177] Monte-Carlo frequency dropout for predictive uncertainty estimation in deep learning, Tal Zeevi, USA
  4. [197] Explainable dementia prediction using functional neuroimages and risk factors, Zhuoyu Shi, USA
  5. [342] Spinal osteophyte detection via robust patch extraction on minimally annotated X-rays, Soumya Snigdha Kundu, UK
  6. [362] Acceleration: sequentially-scanning dual-energy Computed Tomography imaging using high temporal resolution image reconstruction and temporal extrapolation, Qiaoxin Li, China
  7. [414] Deep neural networks comparison for MRI segmentation of the brainstem, Seoyoung Oh, France
  8. [418] Memory-efficient deep end-to-end posterior network (DEEPEN) for inverse problems, Jyothi Rikhab Chand, USA
  9. [481] Attention-aware laparoscopic image desmoking network with lightness embedding and hybrid guided embedding, Ziteng Liu, China
  10. [531] Deep vessel segmentation based on a new combination of vesselness filters, Guillaume Garret, France
  11. [839] Unveiling the power of high-quality OCT: an effective fundus-based modality fusion network for fovea localization, Huaqing He, China
  12. [886] Semi-supervised segmentation with topological penalization for quantifying retinal degeneration in histological sections, Benjamin Dorra, France
  13. [962] Revealing cortical layers in histological brain images with self-supervised graph convolutional networks applied to cell-graphs, Valentina Vadori, UK-Italy
  14. [1220] Decoding radiologists’ intentions: a novel system for accurate region identification in chest X-ray image analysis, Akash Awasthi, USA
  15. [1256] New deep learning-based approach for dysphagia assessment from videofluoroscopy swallowing studies, Lucia Cubero, Spain-France
  16. [1314] CCMT: cross collaboration multi-task network for neonatal hip bone intelligent diagnosis, Liangni Hu, China
  17. [1339] Morph-Transformer: a deep spatio-temporal framework for shape analysis in longitudinal neuroimaging, Yuji Zhao, USA
  18. [1364] Carotid plaque motion analysis in ultrasound videos to discover rupture-prone plaque areas, Georgia D. Liapi, Cyprus-Greece