MIDOG/DRAC@MICCAI

Keyphrases

Publications

volume 13597, 2023

Mitosis Domain Generalization and Diabetic Retinopathy Analysis - MICCAI Challenges MIDOG 2022 and DRAC 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings MIDOG/DRAC@MICCAI 13597 (2023)

2022

Xin Chen, Yanbin Chen, Chaonan Lin, Lin Pan
An Improved U-Net for Diabetic Retinopathy Segmentation. MIDOG/DRAC@MICCAI (2022)
Ziyue Wang, Yang Chen, Zijie Fang, Hao Bian, Yongbing Zhang
Multi-task RetinaNet for Mitosis Detection. MIDOG/DRAC@MICCAI (2022)
Gitaek Kwon, Eunjin Kim, Sunho Kim, Seongwon Bak, Minsung Kim, Jaeyoung Kim
Bag of Tricks for Developing Diabetic Retinopathy Analysis Framework to Overcome Data Scarcity. MIDOG/DRAC@MICCAI (2022)
Jonas Ammeling, Frauke Wilm, Jonathan Ganz, Katharina Breininger, Marc Aubreville
Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge. MIDOG/DRAC@MICCAI (2022)
Sungjin Choi, Bosoung Jeoun, Jaeyoung Anh, Jae-hyup Jeong, Yongjin Choi, Dowan Kwon, Unho Kim, Seoyoung Shin
A Vision Transformer Based Deep Learning Architecture for Automatic Diagnosis of Diabetic Retinopathy in Optical Coherence Tomography Angiography. MIDOG/DRAC@MICCAI (2022)
Zhuoyi Tan, Hizmawati Madzin, Zeyu Ding
Semi-supervised Semantic Segmentation Methods for UW-OCTA Diabetic Retinopathy Grade Assessment. MIDOG/DRAC@MICCAI (2022)
Renyu Li, Yunchao Gu, Xinliang Wang, Sixu Lu
Bag of Tricks for Diabetic Retinopathy Grading of Ultra-Wide Optical Coherence Tomography Angiography Images. MIDOG/DRAC@MICCAI (2022)
Zhicheng Wu, Yanbin Chen, Xuru Zhang, Liqin Huang
Data Augmentation by Fourier Transformation for Class-Imbalance: Application to Medical Image Quality Assessment. MIDOG/DRAC@MICCAI (2022)
Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa
Tackling Mitosis Domain Generalization in Histopathology Images with Color Normalization. MIDOG/DRAC@MICCAI (2022)
Zhenyu Chen, Liqin Huang
Deep Convolutional Neural Network for Image Quality Assessment and Diabetic Retinopathy Grading. MIDOG/DRAC@MICCAI (2022)
Farhana Sultana, Abu Sufian, Paramartha Dutta
Automatic Diabetic Retinopathy Lesion Segmentation in UW-OCTA Images Using Transfer Learning. MIDOG/DRAC@MICCAI (2022)
Sujatha Kotte, VG Saipradeep, Naveen Sivadasan, Thomas Joseph, Hrishikesh Sharma, Vidushi Walia, Binuja Varma, Geetashree Mukherjee
A Deep Learning Based Ensemble Model for Generalized Mitosis Detection in H &E Stained Whole Slide Images. MIDOG/DRAC@MICCAI (2022)
Zhiqiang Gao, Jinquan Guo
Diabetic Retinal Overlap Lesion Segmentation Network. MIDOG/DRAC@MICCAI (2022)
Maxime W. Lafarge, Viktor H. Koelzer
Fine-Grained Hard-Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset. MIDOG/DRAC@MICCAI (2022)
Jungrae Cho, Byungeun Shon, Sungmoon Jeong
Deep Learning-Based Multi-tasking System for Diabetic Retinopathy in UW-OCTA Images. MIDOG/DRAC@MICCAI (2022)
Yuhan Zheng, Fuping Wu, Bartlomiej W. Papiez
An Ensemble Method to Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography Angiography Images. MIDOG/DRAC@MICCAI (2022)
Yihao Li, Rachid Zeghlache, Ikram Brahim, Hui Xu, Yubo Tan, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho
Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy. MIDOG/DRAC@MICCAI (2022)
Junlin Hou, Fan Xiao, Jilan Xu, Yuejie Zhang, Haidong Zou, Rui Feng
Deep-OCTA: Ensemble Deep Learning Approaches for Diabetic Retinopathy Analysis on OCTA Images. MIDOG/DRAC@MICCAI (2022)
Xiaochao Yan, Zhaopei Li, Jianhui Wen, Lin Pan
A Transfer Learning Based Model Ensemble Method for Image Quality Assessment and Diabetic Retinopathy Grading. MIDOG/DRAC@MICCAI (2022)
Linus Kreitner, Ivan Ezhov, Daniel Rueckert, Johannes C. Paetzold, Martin J. Menten
Automated Analysis of Diabetic Retinopathy Using Vessel Segmentation Maps as Inductive Bias. MIDOG/DRAC@MICCAI (2022)
Hongyan Gu, Mohammad Haeri, Shuo Ni, Christopher Kazu Williams, Neda Zarrin-Khameh, Shino Magaki, Xiang 'Anthony' Chen
Detecting Mitoses with a Convolutional Neural Network for MIDOG 2022 Challenge. MIDOG/DRAC@MICCAI (2022)
Zhuoyi Tan, Hizmawati Madzin, Zeyu Ding
Image Quality Assessment Based on Multi-model Ensemble Class-Imbalance Repair Algorithm for Diabetic Retinopathy UW-OCTA Images. MIDOG/DRAC@MICCAI (2022)
Wen Zhang, Hao Chen, Daisong Li, Shaohua Zheng
Automatic Image Quality Assessment and DR Grading Method Based on Convolutional Neural Network. MIDOG/DRAC@MICCAI (2022)
Felix Krause, Dominik Heindl, Hana Jebril, Markus Karner, Markus Unterdechler
nnU-Net Pre- and Postprocessing Strategies for UW-OCTA Segmentation Tasks in Diabetic Retinopathy Analysis. MIDOG/DRAC@MICCAI (2022)
Jonas Annuscheit, Christian Krumnow
Radial Prediction Domain Adaption Classifier for the MIDOG 2022 Challenge. MIDOG/DRAC@MICCAI (2022)