The program of the MIDOG 2021 workshop at MICCAI 2021, as listed on the challenge website.
Introduction and Reference Approach (14:00-15:20 UTC / 16:00-17:20 CEST)
| Time | Speaker | Title |
|---|
| 14:00-14:20 | Marc Aubreville | Welcome address and Introduction |
| 14:20-15:05 | Tobias Heimann | Keynote: How to build trustworthy AI solutions |
| 15:05-15:20 | Frauke Wilm | Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization (MIDOG) Challenge |
Oral Session 1: Cascaded and Multi-stage Approaches for Mitosis Detection (15:30-16:05 UTC / 17:30-18:05 CEST)
| Time | Speaker | Title |
|---|
| 15:30-15:35 | Salar Razavi | Cascade RCNN for MIDOG Challenge |
| 15:35-15:40 | Ying Cheng | Domain Adaptive Cascade R-CNN for Mitosis DOmain Generalization (MIDOG) Challenge |
| 15:40-15:45 | Yubo Wang | Detecting Mitosis against Domain Shift using a Fused Detector and Deep Ensemble Classification Model for MIDOG Challenge |
| 15:45-15:50 | Ramin Nateghi | Two-step Domain Adaptation for Mitosis Cell Detection in Histopathology Images |
| 15:50-16:05 | all | Q&A and Discussion |
Oral Session 2: Instance Segmentation-based and Adversarial Approaches (16:05-16:40 UTC / 18:05-18:40 CEST)
| Time | Speaker | Title |
|---|
| 16:05-16:10 | Satoshi Kondo | Multi-source Domain Adaptation Using Gradient Reversal Layer for Mitotic Cell Detection |
| 16:10-16:15 | Sen Yang | Sk-Unet Model with Fourier Domain for Mitosis Detection |
| 16:15-16:20 | Saima Ben Hadj | Robust Mitosis Detection Using a Cascade Mask-RCNN Approach With Domain-Specific Residual Cycle-GAN Data Augmentation |
| 16:20-16:25 | Mostafa Jahanifar | Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge |
| 16:25-16:40 | all | Q&A and Discussion |
Oral Session 3: Augmentation Strategies for Domain Invariance (16:40-17:15 UTC / 18:40-19:15 CEST)
| Time | Speaker | Title |
|---|
| 16:40-16:45 | Maxime Lafarge | Rotation Invariance and Extensive Data Augmentation: a strategy for the Mitosis Domain Generalization (MIDOG) Challenge |
| 16:45-16:50 | Jack Breen | Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images |
| 16:50-16:55 | Youjin Chung | Domain-Robust Mitotic Figure Detection with StyleGAN |
| 16:55-17:00 | Jakob Dexl | MitoDet: Simple and robust mitosis detection |
| 17:00-17:15 | all | Q&A and Discussion |
Results and Awards, Panel Discussion (17:25-18:00 UTC / 19:25-20:00 CEST)
| Time | Speaker | Title |
|---|
| 17:25-17:40 | Marc Aubreville, Katharina Breininger | Results and Awards |
| 17:40-18:00 | The MIDOG Organizers | Panel Discussion |