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Program Agenda

Selected papers and detailed schedule for the doctoral consortium

📊 Consortium Overview

15 Total Selected Papers
8 Long Oral Presentations
7 Short Oral Presentations

Event Schedule

PhD Consortium Poster Sessions
Wednesday, September 24, 2025 — 3:30 PM to 5:00 PM
📍 Main Conference Venue: DCC 2 - alongside Poster Session 1
PhD Consortium Oral Sessions
Thursday, September 25, 2025 — 12:00 PM to 1:00 PM
📍 Main Conference Venue: DCC 1

Long Oral Presentations

8 selected papers • 3 minutes presentation each

# Paper Title & Author Information
1
Towards AI-guided Cardiovascular Ultrasonography with Large-scale Implicit Structural Learning
Haojun Jiang
Tsinghua University, China
2
Annotation-Efficient Selection and Collaborative Datasets for Clinical Translation in Brain Vessel Segmentation
Daniele Falcetta
EURECOM, France
3
Advancing Healthcare with Multimodal AI: Enhanced Diagnosis, Cognitive Monitoring, and Inclusive Medical Communication
Raffaele Mineo
University of Catania, University Campus Bio-Medico of Rome, Italy
4
Deep Generative Models for Explainability and Fairness in Medical Image Analysis
Amar Kumar
McGill University, Canada
5
Dynamic Learning of Histopathology in the Spatio-Temporal Continuum
Niklas Babendererde
TU Darmstadt
6
Reeb Graphs for Topological Connectomics
S Shailja
Stanford University, USA
7
Building Cancer AI Systems to Accelerate the Cancer Moonshot Using Medical Images
Jieneng Chen
John Hopkins University, USA
8
Toward Next-generation Medical Vision Backbones: Modeling Finer-grained Long-range Visual Dependency
Mingyuan Meng
The University of Sydney, Australia

Short Oral Presentations

7 selected papers • 2 minutes presentation each

# Paper Title & Author Information
9
From Fusion to Diffusion for early Pulmonary Embolism detection and severity prediction
Noa Cahan
Tel Aviv University, Israel
10
Deep Learning for Stroke Imaging: Enhancing Focus, Efficiency, and Fairness
Uma-Maria Lal-Trehan Estrada
University of Girona, Spain
11
Enabling Generalizable Medical Imaging Analysis with Adaptation and Enhancement
Liu Jie
City University of Hong Kong, Hong Kong
12
Deep Multi-Modality Fusion for Integrative Healthcare
Omnia Alwazzan
Queen Mary University of London, United Kingdom
13
Deep Learning-Based Prediction of Molecular Markers in Glioma Using Magnetic Resonance Imaging
Somayeh Farahani
Macquarie University, Australia
14
Generative Deep Learning for Cancer Image Analysis
Richard Osuala
Universitat de Barcelona, Spain
15
Multimodal AI for Equitable Respiratory Disease Diagnosis: From Chest X-rays to Cough Sounds in Resource-Constrained Healthcare
Yasmeena Akhter
Indian Institute of Technology Jodhpur, India

Additional Information

Presentation Order: The order of presentations will be randomized on the day of the event. Participants will receive their assigned presentation slot upon arrival at the venue.