🛠️ CHIMERA CHALLENGE WORKSHOP AT MICCAI 2025

We are happy to invite you to the CHIMERA Challenge Workshop – a satellite event at MICCAI 2025.

📅 Date: 23rd September 2024
Time: 13:30 – 18:00

Time What Who/Group
13:30 - 13:50 Introduction to Bladder Cancer Nadieh
13:50 - 14:00 Challenge Prostate Cancer Robert
14:00 - 14:15 Task 1 + Task 3 presentation TIA-Pegasus
14:15 - 14:35 Task 1 + Task 2 + Task 3 presentation WL
14:35 - 14:50 Task 1 + Task 3 presentation SMILE
14:50 - 15:00 Task 1 presentation IUCompPath
15:00 - 16:00 Coffee + poster session All groups
16:00 - 16:15 Task 2 + Task 3 presentation HKKH
16:15 - 16:25 Task 3 presentation NMIL Lab
16:25 - 16:35 Task 2 presentation Biototem
16:35 - 16:45 Task 2 presentation GRIS
16:45 - 17:00 Task 2 + Task 3 presentation Godzilla
17:00 - 17:10 Task 1 presentation VCMI
17:10 - 17:30 Challenge conclusion
17:30 - 17:45 Award ceremony

List of posters:

  1. Achieving Robust Survival Prediction with Model Ensembling on a Small Patient Cohort
    Authors: Yeonwoo, Emily Xie, Jun Ma

  2. Clinical Prediction of HR-NMIBC Recurrence
    Authors: Emily Xie, Yeonwoo Seo, Jun Ma

  3. MultiSurv: A Multimodal Deep Survival Framework for Prostate and Bladder Cancer
    Authors: Noorul Wahab, Ethar Alzaid, Jiaqi Lv, Adam Shephard, Shan E Ahmed Raza

  4. PROFUSEme: PROstate Cancer Biochemical Recurrence Prediction via FUSEd Multi-modal Embeddings
    Authors: Suhang You, Carla Pitarch-Abaigar, Sanket Kachole, Sumedh Sonawane, Tony Ha, Anish Sudarshan Gada, David Crandall, Rakesh Shiradkar, Spyridon Bakas

  5. Biologically Informed Whole-Slide Level Representation for Prostate Histology
    Authors: Mustafa Akur, Selim Sevim

  6. Uncertainty-Aware Multimodal Prognostic Modeling in Cancer Using Mamba-Based State-Space and Transformer Architectures
    Authors: Not listed

  7. Predicting Bacillus Calmette-Guérin Response Subtype with Deep Learning in High-Risk Non-Muscle-Invasive Bladder Cancer Patients
    Authors: Ethan O’Connor, Quan Huu Cap

  8. Multi-Modal MIL for Predicting BCG Response Subtypes in HR-NMIBC
    Authors: He Bingdou, Xu Shuoyu

  9. Multi-Head Attention-Based Multiple Instance Learning for Predicting BCG Response Subtypes
    Authors: L. Hassan Keshvarikhojasteh

  10. Multi-Head Attention-Based Multiple Instance Learning for Histology Classification
    Authors: L. Hassan Keshvarikhojasteh

  11. Foundation Model-Driven Prediction of Bacillus Calmette-Guérin Response in Non-Muscle-Invasive Bladder Cancer Using Histopathology and Clinical Data
    Authors: Satoshi Kondo, Satoshi Kasai

  12. Contrastive Multi-modal Structure Representation Learning for Survival Prediction
    Authors: Kun Wu, Zhiguo Jiang, Xinyu Zhu, Yuping Wang, Jun Shi, Yushan Zheng

  13. Patch-Graph Histology and Clinical Fusion for BCG Response Subtyping
    Authors: Hafsa Akebli, Vincenzo Della Mea

  14. A Multimodal Transformer for Predicting Recurrence in NMIBC Patients Treated with BCG Immunotherapy
    Authors: Sumin Baek, Seungjun Lee

  15. Adaptive Prototype Learning for Multimodal Cancer Survival Analysis
    Authors: Hong Liu, Haosen Yang, Federica Eduati, Josien P.W. Pluim, Mitko Veta