Technical Program Overview

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
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
12.30-14.00 Lunch (on your own)
Networking lunch (Skalkotas Auditorium foyer)
14.00-15.30 Opening remarks

Plenary talk:
Anant Madabhushi, Robert W Woodruff Professor of Biomedical Engineering, Emory University
Getting serious about AI in healthcare: retrospective and prospective validation

Musical performance
(Banqueting Hall)

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
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)
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
(Banqueting Hall foyer)

11.30-12.30 Plenary talk
Joseph Sifakis, Emeritus Research Director at Verimag – Artificial Intelligence: Where we are, where we are going (Banqueting Hall)
12.30-14.00 Lunch (on your own)
Lunch with leaders (Allegro Hall)
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
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
(Banqueting Hall foyer)

11.00-12.00 Plenary talk
Katherine Ferrara, Professor and Division Chief, Molecular Imaging Program at Stanford
Personalized imaging and theragnostics (Banqueting Hall)
12.00-13.30 Lunch (on your own)
Women in SPS/BMI lunch (Allegro Hall)
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)
14.30-16.00 Poster session 3

Coffee served
(Banqueting Hall foyer)

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)
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
(Banqueting Hall foyer)

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)
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)
16.30-17.30 Closing/Awards/ISBI2025 (Banqueting Hall)