Click on session type (i.e. Tutorial x, Challenge x e.t.c.) to view details about each session.
The time zone is Eastern European Time, UTC+3:00
Monday, 27 May 2024 | ||||||||
08.00-19.30 | Registration (Skalkotas Auditorium foyer) | |||||||
14.00-18.00 | Art meets Biomedical Imaging (Skalkotas Auditorium foyer) | |||||||
SKALKOTAS | MARINOS | LECTURE | MC2 | MC3.2 | MC3.3 | MC3.4 | ||
09.00-10.30 | Industry session
(Skalkotas auditorium) |
Challenge 4 Diminished reality for emerging applications in medicine through inpainting (DREAMING) |
Tutorial 2 Brain connectome analysis with graph neural networks Part I |
Tutorial 3 Computational pathology tutorial: clinical insights and methodological advances Part I |
Tutorial 7 Federated learning in healthcare Part I |
Workshop 1 Through the lens of equality: a workshop on gender-informed research |
Workshop 4 Machine learning for neurodegenerative disorders |
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10.30-11.00 | Coffee break (Music Library & Skalkotas Auditorium foyer) | |||||||
11.00-12.30 | Industry session
(Skalkotas auditorium) |
Challenge 2 Cell tracking challenge 2024 (CTC) |
Tutorial 2 Brain connectome analysis with graph neural networks Part II |
Tutorial 3 Computational pathology tutorial: clinical insights and methodological advances Part II |
Tutorial 7 Federated learning in healthcare Part II |
Workshop 2 PROC-AI: integrating imaging data and AI models for supporting precision care through prostate cancer’s continuum |
Workshop 3 Cross-society innovation for translational applications of medical AI |
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12.30-14.00 | Lunch (on your own) Networking lunch (Skalkotas Auditorium foyer) |
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14.00-15.30 | Opening remarks
Plenary talk: Musical performance |
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SKALKOTAS | MARINOS | LECTURE | MC2 | MC3.2 | MC3.3 | MC3.4 | ||
15.30-16.30 | Pharma session (Skalkotas auditorium) |
Oral session Structural and functional brain connectivity |
Oral session Signal and image reconstruction |
Oral session Model driven classification and segmentation |
Oral session Validation and explainability |
Special session 5 Interpretable imaging genetics: towards the molecular mechanisms underlying brain structure and function |
Special session 1 Simplical complex data for biomedical images |
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16.30-17.00 | Coffee break (Music Library & Skalkotas auditorium foyers) | |||||||
17.00-18.00 | Industry session (Skalkotas auditorium) |
Oral session Novel ML and DL methods for image segmentation |
Oral session Dual modality deep learning |
Oral session MRI in Alzheimer’s disease |
Oral session Deep learning methods and decision support (I) |
Oral session Machine learning and data mining |
Special session 2 Imaging molecules within the cell by 3D electron microscopy |
artISBI2024 session (Banqueting Hall) |
18.00-19.15 | Panel Translating Artificial Intelligence Research into Clinical Practice: Challenges and Perspectives in Biomedical Imaging (Banqueting Hall) |
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20.00-22.00 | Welcome reception |
Tuesday, 28 May 2024 | ||||||
08.00-17.30 | Registration (Skalkotas Auditorium foyer) | |||||
10.00-17.30 | Art meets Biomedical Imaging (Skalkotas Auditorium foyer) | |||||
07.30-08.30 | Breakfast with leaders (Allegro Hall) | |||||
SKALKOTAS | MARINOS | LECTURE | MC2 | MC3.2 | MC3.4 | |
08.30-10.00 | Oral session Dynamic MRI |
Oral session Image reconstruction |
Oral session Deep learning methods and decision support (II) |
Oral session Foundation models |
Oral session Image synthesis |
Oral session Surgery guidance and planning |
10.00-11.30 | Poster session 1
Coffee served |
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11.30-12.30 | Plenary talk Joseph Sifakis, Emeritus Research Director at Verimag – Artificial Intelligence: Where we are, where we are going (Banqueting Hall) |
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12.30-14.00 | Lunch (on your own) Lunch with leaders (Allegro Hall) |
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SKALKOTAS | MARINOS | LECTURE | MC2 | MC3.2 | MC3.4 | |
14.00-15.30 | Oral session Biological structural and cellular segmentation |
Oral session Deep learning approaches for mage segmentation |
Oral session Machine learning and image uncertainty |
Tutorial 4 DIMEDIA: diffusion models in medical imaging and analysis Part I |
Challenge 5 Justified referral in AI glaucoma screening (JUSTRAIGS) |
Special session 6 Applied medical imaging AI research: clinical and translational perspectives |
14.30-17.30 | Academic Software Demo Session 1 MorphoNet 2.0: how can you correct a 3D segmented dataset in just a few clicks? fMRIStroke: a pre-processing pipeline for fMRI data from stroke patients |
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15.30-16.00 | Coffee break (Music Library & Skalkotas Auditorium foyers) | |||||
16.00-17.30 | Oral session Brain connectivity |
Oral session Image segmentation |
Oral session Emerging methods for trustworthy AI (I) |
Tutorial 4 DIMEDIA: diffusion models in medical imaging and analysis Part II |
Challenge 5 Justified referral in AI glaucoma screening (JUSTRAIGS) |
Oral session Machine learning and image quality |
18.30-23.30 | Students and Young Professionals event |
Wednesday, 29 May 2024 | ||||||
08.00-17.30 | Registration (Skalkotas Auditorium foyer) | |||||
10.00-17.30 | Art meets Biomedical Imaging (Skalkotas Auditorium foyer) | |||||
SKALKOTAS | MARINOS | LECTURE | MC2 | MC3.2 | MC3.4 | |
08.30-10.00 | Oral session CT image segmentation |
Special session 3 MRI beyond the norm: pioneering advances in engineering, image processing, and safety |
Oral session Feature extraction and classification in histopathology images |
Oral session Ultrasound imaging |
Oral session Tumor detection and classification |
Challenge 1 BRATS generalizability across tumors (BRATS-GOAT) Part I |
10.00-11.00 | Poster session 2
Coffee served |
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11.00-12.00 | Plenary talk Katherine Ferrara, Professor and Division Chief, Molecular Imaging Program at Stanford Personalized imaging and theragnostics (Banqueting Hall) |
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12.00-13.30 | Lunch (on your own) Women in SPS/BMI lunch (Allegro Hall) |
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13.30-14.30 | Clinical focus session Imaging and AI opportunities in oncology integrated diagnostics (Banqueting Hall) |
Clinical focus session Clinical translation of AI for neurodegenerative and neuropsychiatric disease (Skalkotas auditorium) |
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14.30-16.00 | Poster session 3
Coffee served |
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14.30-17.30 | Academic Software Demo Session 2 AtheroRisk: a carotid ultrasound video analysis system for stroke risk stratification Advancing the frontier of web-based neuroimaging Clinical virtual/augmented reality prototypes for cancer diagnosis, surgical intervention, and medical education (Skalkotas Auditorium foyer) SPyRiT: a Python package for deep single-pixel image reconstruction (Skalkotas Auditorium foyer) |
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SKALKOTAS | MARINOS | LECTURE | MC2 | MC3.2 | MC3.4 | |
16.00-17.30 | Oral session Cerebrovascular MRI and fMRI |
Oral session Anatomical segmentation |
Oral session Biological cell and bacteria tracking |
Oral session Multimodality fusion (I) |
Special session 4 Brain graph signal processing |
Challenge 1 BRATS generalizability across tumors (BRATS-GOAT) Part II |
18.00-20.00 | Symbolic Marathon/Visit to the National Archaeological Museum |
Thursday, 30 May 2024 | ||||||
08.00-17.30 | Registration (Skalkotas Auditorium foyer) | |||||
10.00-17.30 | Art meets Biomedical Imaging (Skalkotas Auditorium foyer) | |||||
SKALKOTAS | MARINOS | LECTURE | MC2 | MC3.2 | MC3.4 | |
08.30-09.30 | Oral session Histopathological and electron microscopy imaging |
Oral session MRI and brain diseases |
Oral session Multimodality fusion |
Oral session X-ray methods and applications |
Oral session Deep learning and generative AI |
Oral session Skin image analysis |
09.30-11.00 | Poster session 4
Coffee served |
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11.00-12.00 | Plenary talk Francis Bach, Machine learning Group leader, Inria, Ecole Normale Supérieure An alternative view of denoising diffusion models (Banqueting Hall) |
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12.00-13.00 | Lunch (on your own) | |||||
SKALKOTAS | MARINOS | LECTURE | MC2 | MC3.2 | MC3.4 | |
13.00-14.30 | Tutorial 5 Explainable artificial intelligence in biomedical imaging Part I |
Tutorial 6 Fairness of AI in medical imaging (FAIMI) Part I |
Challenge 3 Light my cells: bright field to fluorescence imaging challenge 2024 (LIGHTMYCELLS) |
Challenge 6 Towards 3D atlas of human body |
Tutorial 1 AI tools for computational neuroanatomy |
Tutorial 8 National Cancer Institute Imaging Data Commons as a resource to support transparency, reproducibility, and scalability in imaging AI |
14.30-15.00 | Coffee break (Music Library & Skalkotas auditorium foyers) | |||||
SKALKOTAS | MARINOS | LECTURE | MC2 | MC3.2 | MC3.4 | |
15.00-16.30 | Tutorial 5 Explainable artificial intelligence in biomedical imaging Part II |
Tutorial 6 Fairness of AI in medical imaging (FAIMI) Part II |
Oral session Biological tissue characterization |
Oral session Brain neural networks |
Oral session Optical, MRI and CT synthesis approaches |
Oral session Vascular image analysis |
Tutorial 1 Demo session AI tools for computational neuroanatomy (Skalkotas auditorium foyer) |
Tutorial 8 Demo session National Cancer Institute Imaging Data Commons as a resource to support transparency, reproducibility, and scalability in imaging AI (Skalkotas auditorium foyer) |
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16.30-17.30 | Closing/Awards/ISBI2025 (Banqueting Hall) |