Leaderboard

Task 1: Segmentation

Metrics values and corresponding scores of submission. Median and interquartile values are presented. The best results are given in bold. Arrows indicate favourable direction of each metric.

Task 2: Koos Classification

Event recording

Presentation

Slides

Proposed approaches

#1 - ne2e

Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training (PAST)

Hexin Dong; Fei Yu; Mingze Yuan; Jie Zhao; Bin Dong; Li Zhang (Peking University)

Paper

#2 - MAI

Multi-view Cross-Modality MR Image Translation for Vestibular Schwannoma and Cochlea Segmentation

Bogyeong Kang; Hyeonyeong Nam; Ji-Wung Han; Keun-Soo Heo; Tae-Eui Kam (Korea University)

Paper

#3 - LaTIM

Tumor blending augmentation using one-shot generative learning for vestibular schwannoma and cochlea cross-modal segmentation

Guillaume Sallé; Pierre-Henri Conze; Julien Bert; Nicolas Boussion; Ulrike Schick; Dimitris Visvikis; Vincent Jaouen

Paper

#4 - Super_Polymerization

Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive Learning

Luyi Han; Yunzhi Huang; Tao Tan; and Ritse Mann (Radboud University Medical)

Paper

#5 - A*DA

MS-MT: Multi-Scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation

Ziyuan Zhao; Kaixin Xu; Huai Zhe Yeo; Xulei Yang; and Cuntai Guan (ASTAR, Singapor)

Paper

#6 - fgh_365

Enhancing Data Diversity for Self-training Based Unsupervised Cross-modality Vestibular Schwannoma and Cochlea Segmentation

Han Liu; Yubo Fan; Ipek Oguz; and Benoit M. Dawant (Vanderbilt University)

Paper

#7 - SJTU_EIEE_2

Koos Classification of Vestibular Schwannoma via Image Translation-Based Unsupervised Cross-Modality Domain Adaptation

Tao Yang; Lisheng Wang (Shanghai Jiao Tong University, Shanghai, China)

Paper

#8 - MBZUAI_VS

Weakly Unsupervised Domain Adaptation for Vestibular Schwannoma Segmentation

Shahad Hardan; Hussain Alasmawi; Xiangjian Hou; Mohammad Yaqub (Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE)

Paper

#9 - HUST_CBIB

An Unpaired Cross-modality Segmentation Framework Using Data Augmentation and Hybrid Convolutional Networks for Segmenting Vestibular Schwannoma and Cochlea

Yuzhou Zhuang; Hong Liu; Enmin Song; Coskun Cetinkaya; Chih-Cheng Hung (Huazhong University of Science and Technology, Wuhan, China)

Paper

#10 - skjp

Unsupervised Domain Adaptation for MRI Volume Segmentation and Classification Using Image-to-Image Translation

Satoshi Kondo; Satoshi Kasai (Muroran Institute of Technology, Hokkaido, Japan)

Paper

#11 - gabybaldeon

Extensive Pixel-Level Augmentation for Cross-Modality Domain Adaptation

Maria Baldeon Calisto; Susana K. Lai-Yuen (Universidad San Francisco de Quito, Ecuador)

Paper

#12 - OF_MEN_AND_RABBITS

Domain Adaptation and Semantic Segmentation using UVCGAN and nnUNet

Shaikh Muhammad Uzair Noman; AmirhosseinVahidi; Mina Rezaei (Ludwig-Maximilians-Universität München, Germany)

Paper