Title
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When saliency goes off on a tangent: Interpreting Deep Neural Networks with nonlinear saliency maps Jan Rosenzweig Zoran Cvetkovic I. Rosenzweig FAtt 23 0 0 13 Oct 2021
Fair Conformal Predictors for Applications in Medical Imaging Charles Lu A. Lemay Ken Chang K. Hoebel Jayashree Kalpathy-Cramer MedIm 20 67 0 09 Sep 2021
Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability Niamh Belton I. Welaratne Adil Dahlan Ron Hearne Misgina Tsighe Hagos Aonghus Lawlor Kathleen M. Curran 19 13 0 18 Aug 2021
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis Bas H. M. van der Velden Hugo J. Kuijf K. Gilhuijs M. Viergever XAI 40 638 0 22 Jul 2021
Sanity Simulations for Saliency Methods Joon Sik Kim Gregory Plumb Ameet Talwalkar FAtt 41 17 0 13 May 2021
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography A. Barnett F. Schwartz Chaofan Tao Chaofan Chen Yinhao Ren J. Lo Cynthia Rudin 31 133 0 23 Mar 2021
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation S. Gadgil Mark Endo Emily Wen A. Ng Pranav Rajpurkar 17 11 0 21 Feb 2021
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays Joseph Paul Cohen Rupert Brooks Sovann En Evan Zucker Anuj Pareek M. Lungren Akshay S. Chaudhari FAtt MedIm 37 4 0 18 Feb 2021
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks A. Narin Ceren Kaya Ziynet Pamuk 80 1,762 0 24 Mar 2020