Representation Learning with Information Theory for COVID-19 Detection

Representation Learning with Information Theory for COVID-19 Detection

4 July 2022

Abel Díaz Berenguer

Tanmoy Mukherjee

Nikos Deligiannis

Papers citing "Representation Learning with Information Theory for COVID-19 Detection"

15 / 15 papers shown

Title
AI-MIA: COVID-19 Detection & Severity Analysis through Medical Imaging D. Kollias Anastasios Arsenos Stefanos D. Kollias 76 42 0 09 Jun 2022
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 159 5,167 0 10 Jan 2022
MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis D. Kollias Anastasios Arsenos Levon Soukissian Stefanos D. Kollias 55 94 0 14 Jun 2021
Consistency Regularization for Variational Auto-Encoders Samarth Sinha Adji Bousso Dieng CML 56 69 0 31 May 2021
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization Jizong Peng M. Pedersoli Christian Desrosiers SSL 59 21 0 08 Mar 2021
Deep Transparent Prediction through Latent Representation Analysis D. Kollias N. Bouas Y. Vlaxos V. Brillakis M. Seferis I. Kollia L. Sukissian J. Wingate Stefanos D. Kollias 28 88 0 13 Sep 2020
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model Quande Liu Lequan Yu Luyang Luo Qi Dou Pheng Ann Heng 84 226 0 15 May 2020
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations Gerda Bortsova Florian Dubost Laurens Hogeweg Ioannis Katramados Marleen de Bruijne 55 181 0 04 Nov 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 659 5,798 0 25 Jul 2019
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model Wenhui Cui Yanling Liu Yuxing Li Meng-Hao Guo Yiming Li Xiuli Li Tianle Wang Xiangzhu Zeng Chuyang Ye 104 176 0 04 Mar 2019
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation Xuelong Li Lequan Yu Hao Chen Chi-Wing Fu Lei Xing Pheng-Ann Heng MedIm 50 385 0 28 Feb 2019
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 315 2,661 0 20 Aug 2018
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 325 1,274 0 06 Mar 2017
Learning Discrete Representations via Information Maximizing Self-Augmented Training Weihua Hu Takeru Miyato Seiya Tokui Eiichi Matsumoto Masashi Sugiyama 79 449 0 28 Feb 2017
Cross-Domain Object Matching with Model Selection M. Yamada Masashi Sugiyama 72 35 0 07 Dec 2010