MIDOG/MOOD/Learn2Reg@MICCAI

Publications

volume 13166, 2022

Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 - October 1, 2021, Proceedings MIDOG/MOOD/Learn2Reg@MICCAI 13166 (2022)

2021

Frauke Wilm, Christian Marzahl, Katharina Breininger, Marc Aubreville
Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Jack Breen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar
Assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology Images. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Sheng Wang, Jinxin Lv, Hongkuan Shi, Yilang Wang, Yuanhuai Liang, Zihui Ouyang, Zhiwei Wang, Qiang Li
Progressive and Coarse-to-Fine Network for Medical Image Registration Across Phases, Modalities and Patients. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Maxime W. Lafarge, Viktor H. Koelzer
Rotation Invariance and Extensive Data Augmentation: A Strategy for the MItosis DOmain Generalization (MIDOG) Challenge. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Satoshi Kondo
Multi-source Domain Adaptation Using Gradient Reversal Layer for Mitotic Cell Detection. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Wei Shao, Sulaiman Vesal, David S. Lim, Cynthia Li, Negar Golestani, Ahmed Alsinan, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu
The Learn2Reg 2021 MICCAI Grand Challenge (PIMed Team). MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Alessa Hering, Annkristin Lange, Stefan Heldmann, Stephanie Häger, Sven Kuckertz
Fraunhofer MEVIS Image Registration Solutions for the Learn2Reg 2021 Challenge. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Salar Razavi, Fariba Dambandkhameneh, Dimitri Androutsos, Susan Done, April Khademi
Cascade R-CNN for MIDOG Challenge. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Jihoon Cho, Inha Kang, Jinah Park
Self-supervised 3D Out-of-Distribution Detection via Pseudoanomaly Generation. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Felix Meissen, Georgios Kaissis, Daniel Rueckert
AutoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Jingtang Liang, Cheng Wang, Yujie Cheng, Zheng Wang, Fang Wang, Liyu Huang, Zhibin Yu, Yubo Wang
Detecting Mitosis Against Domain Shift Using a Fused Detector and Deep Ensemble Classification Model for MIDOG Challenge. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Xi Long, Ying Cheng, Xiao Mu, Lian Liu, Jingxin Liu
Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Youjin Chung, Jihoon Cho, Jinah Park
Domain-Robust Mitotic Figure Detection with Style Transfer. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Mostafa Jahanifar, Adam Shepard, Neda Zamanitajeddin, Raja Muhammad Saad Bashir, Mohsin Bilal, Syed Ali Khurram, Fayyaz A. Minhas, Nasir M. Rajpoot
Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Seongjin Park, Adam Balint, Hyejin Hwang
Self-supervised Medical Out-of-Distribution Using U-Net Vision Transformers. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Ramin Nateghi, Fattaneh Pourakpour
Two-Step Domain Adaptation for Mitotic Cell Detection in Histopathology Images. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Rutger H. J. Fick, Alireza Moshayedi, Gauthier Roy, Jules Dedieu, Stéphanie Petit, Saima Ben Hadj
Domain-Specific Cycle-GAN Augmentation Improves Domain Generalizability for Mitosis Detection. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Luyi Han, Haoran Dou, Yunzhi Huang, Pew-Thian Yap
Deformable Registration of Brain MR Images via a Hybrid Loss. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Marek Wodzinski
Semi-supervised Multilevel Symmetric Image Registration Method for Magnetic Resonance Whole Brain Images. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Gal Lifshitz, Dan Raviv
Unsupervised Volumetric Displacement Fields Using Cost Function Unrolling. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
Fast 3D Registration with Accurate Optimisation and Little Learning for Learn2Reg 2021. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Tony C. W. Mok, Albert C. S. Chung
Conditional Deep Laplacian Pyramid Image Registration Network in Learn2Reg Challenge. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Amit Sethi
Domain Generalisation for Mitosis Detection Exploting Preprocessing Homogenizers. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Jeremy Tan, Turkay Kart, Benjamin Hou, James Batten, Bernhard Kainz
MetaDetector: Detecting Outliers by Learning to Learn from Self-supervision. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila
SS3D: Unsupervised Out-of-Distribution Detection and Localization for Medical Volumes. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Jakob Dexl, Michaela Benz, Volker Bruns, Petr Kuritcyn, Thomas Wittenberg
MitoDet: Simple and Robust Mitosis Detection. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Sen Yang, Feng Luo, Jun Zhang, Xiyue Wang
Sk-Unet Model with Fourier Domain for Mitosis Detection. MIDOG/MOOD/Learn2Reg@MICCAI (2021)