MIDOG 2021 MICCAI Workshop: Preliminary program available

We are presenting a first and still preliminary schedule of the MIDOG challenge workshop. Congratulation to all accepted presenters! Please Note that all times are UTC! Links to the

Block 1: Introduction and Reference Approach, 14:00-15:20 UTC (16:00 – 17:20 CEST)

14:00-14:20Welcome address and IntroductionMarc Aubreville
14:20-15:05Keynote: How to build trustworthy AI solutionsTobias Heimann
15:05-15:20Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization (MIDOG) ChallengeFrauke Wilm

Block 2: Oral Session 1: Cascaded and Multi-stage approaches for mitosis detection
15:30-16:05 UTC (17:30 – 18:05 CEST)

15:30-15:35Cascade RCNN for MIDOG ChallengeSalar Razavi
15:35-15:40Domain Adaptive Cascade R-CNN for Mitosis DOmain Generalization (MIDOG) ChallengeYing Cheng
15:40-15:45Detecting Mitosis against Domain Shift using a Fused Detector and Deep Ensemble Classification Model for MIDOG ChallengeYubo Wang
15:45-15:50Two-step Domain Adaptation for Mitosis Cell Detection in Histopathology ImagesRamin Nateghi
15:50-16:05Q&A and Discussionall

Block 3: Oral Session 2: Instance segmentation-based and adversarial approaches
16:05-16:40 UTC (18:05 – 18:40 CEST)

16:05-16:10Multi-source Domain Adaptation Using Gradient Reversal Layer for Mitotic Cell DetectionSatoshi Kondo
16:10-16:15Sk-Unet Model with Fourier Domain for Mitosis DetectionSen Yang
16:15-16:20Robust Mitosis Detection Using a Cascade Mask-RCNN Approach With Domain-Specific Residual Cycle-GAN Data AugmentationRutger Fick
16:20-16:25Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization ChallengeMostafa Jahanifar
16:25-16:40Q&A and Discussionall

Block 4: Oral Session 3: Augmentation strategies for domain invariance
16:40-17:15 UTC (18:40 – 19:15 CEST)

16:40-16:45Rotation Invariance and Extensive Data Augmentation: a strategy for the Mitosis Domain Generalization (MIDOG) ChallengeMaxime Lafarge
16:45-16:50Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology imagesJack Breen
16:50-16:55Domain-Robust Mitotic Figure Detection with StyleGANYoujin Chung
16:55-17:00MitoDet: Simple and robust mitosis detectionJakob Dexl
17:00-17:15Q&A and Discussionall

Block 5: Results and Awards, Panel Discussion
17:25-18:00 UTC (19:25-20:00 CEST)

17:25-17:40Results and AwardsMarc Aubreville, Katharina Breininger
17:40-18:00Panel DiscussionThe MIDOG Organizers

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