Dense Regression Activation Maps For Lesion Segmentation in CT scans of
COVID-19 patients

Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients

25 May 2021

Colin Jacobs

Jean-Paul Charbonnier

Bram van Ginneken

Papers citing "Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients"

4 / 4 papers shown

Title
Emphysema Subtyping on Thoracic Computed Tomography Scans using Deep Neural Networks Weiyi Xie Colin Jacobs Jean-Paul Charbonnier D. Slebos Bram van Ginneken 6 5 0 05 Sep 2023
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation Zhanwei Xu Yukun Cao Cheng Jin Guozhu Shao Xiaoqing Liu Jie Zhou Heshui Shi Jianjiang Feng MedIm 25 25 0 19 Oct 2020
Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images C. González-Gonzalo B. Liefers Bram van Ginneken C. I. Sánchez MedIm 12 29 0 16 Oct 2019
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation Jiwoon Ahn Suha Kwak 213 740 0 28 Mar 2018