Title
Attribution-based XAI Methods in Computer Vision: A Review Kumar Abhishek Deeksha Kamath 35 18 0 27 Nov 2022
Can we Adopt Self-supervised Pretraining for Chest X-Rays? Arsh Verma Makarand Tapaswi SSL 30 3 0 23 Nov 2022
Cyclic Generative Adversarial Networks With Congruent Image-Report Generation For Explainable Medical Image Analysis Dwarikanath Mahapatra GAN MedIm 16 0 0 16 Nov 2022
Using explainability to design physics-aware CNNs for solving subsurface inverse problems J. Crocker Krishna Kumar B. Cox 17 9 0 16 Nov 2022
Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies Ryan Wang Li-Ching Chen L. Moukheiber Mira Moukheiber Dana Moukheiber ... Hari M. Trivedi R. Steinberg Po-Chih Kuo J. Gichoya Leo Anthony Celi 16 1 0 13 Nov 2022
Detecting Shortcuts in Medical Images -- A Case Study in Chest X-rays Amelia Jiménez-Sánchez Dovile Juodelye B. Chamberlain V. Cheplygina 10 14 0 08 Nov 2022
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems Kai Packhauser Lukas Folle Florian Thamm Andreas Maier DiffM MedIm 24 61 0 02 Nov 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 36 118 0 20 Oct 2022
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging A. Jaiswal Kumar Ashutosh Justin F. Rousseau Yifan Peng Zhangyang Wang Ying Ding 20 9 0 15 Oct 2022
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification Tom van Sonsbeek Xiantong Zhen Dwarikanath Mahapatra M. Worring 31 12 0 13 Oct 2022
CCTCOVID: COVID-19 Detection from Chest X-Ray Images Using Compact Convolutional Transformers Abdolreza Marefat Mahdieh Marefat Javad Hassannataj Joloudari M. Nematollahi Reza Lashgari ViT MedIm 29 13 0 27 Sep 2022
Deep Lake: a Lakehouse for Deep Learning S. Hambardzumyan Abhina Tuli Levon Ghukasyan Fariz Rahman Hrant Topchyan ... Mark McQuade M. Harutyunyan Tatevik Hakobyan I. Stranic Davit Buniatyan 26 17 0 22 Sep 2022
NeuCEPT: Locally Discover Neural Networks' Mechanism via Critical Neurons Identification with Precision Guarantee Minh Nhat Vu Truc D. T. Nguyen My T. Thai AAML 27 3 0 18 Sep 2022
Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices Dat Ngo Thao T. B. Nguyen Hieu T. Nguyen D. Nguyen H. Nguyen Hieu H. Pham OOD 38 2 0 05 Aug 2022
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel Shubhi Shukla Manaar Alam Sarani Bhattacharya Debdeep Mukhopadhyay Pabitra Mitra AAML 27 2 0 01 Aug 2022
A knee cannot have lung disease: out-of-distribution detection with in-distribution voting using the medical example of chest X-ray classification Alessandro Wollek Theresa Willem Michael Ingrisch B. Sabel Tobias Lasser OOD 17 3 0 01 Aug 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods Ricards Marcinkevics Ece Ozkan Julia E. Vogt 25 18 0 26 Jul 2022
Localization supervision of chest x-ray classifiers using label-specific eye-tracking annotation Ricardo Bigolin Lanfredi Joyce D. Schroeder Tolga Tasdizen 26 2 0 20 Jul 2022
CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN Matan Atad V. Dmytrenko Yitong Li Xinyue Zhang Matthias Keicher Jan Kirschke Bene Wiestler Ashkan Khakzar Nassir Navab MedIm 21 22 0 15 Jul 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra A. Madry 23 90 0 29 Jun 2022
Improving Disease Classification Performance and Explainability of Deep Learning Models in Radiology with Heatmap Generators A. Watanabe Sara Ketabi Khashayar Namdar Namdar Farzad Khalvati 14 8 0 28 Jun 2022
Zeroth-Order Topological Insights into Iterative Magnitude Pruning Aishwarya H. Balwani J. Krzyston 32 2 0 14 Jun 2022
SwinCheX: Multi-label classification on chest X-ray images with transformers Sina Taslimi Soroush Taslimi Nima Fathi Mohammad Salehi M. Rohban ViT MedIm 24 24 0 09 Jun 2022
How explainable are adversarially-robust CNNs? Mehdi Nourelahi Lars Kotthoff Peijie Chen Anh Totti Nguyen AAML FAtt 22 8 0 25 May 2022
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation Ljubomir Rokvic Panayiotis Danassis Sai Praneeth Karimireddy Boi Faltings TDI 27 1 0 23 May 2022
Calibrating for Class Weights by Modeling Machine Learning Andrew Caplin Daniel Martin Philip Marx 24 1 0 10 May 2022
Preservation of High Frequency Content for Deep Learning-Based Medical Image Classification Declan McIntosh T. Marques A. Albu 19 6 0 08 May 2022
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification Dwarikanath Mahapatra MedIm 20 2 0 04 Apr 2022
Improving the Fairness of Chest X-ray Classifiers Haoran Zhang Natalie Dullerud Karsten Roth Lauren Oakden-Rayner Stephen R. Pfohl Marzyeh Ghassemi 23 65 0 23 Mar 2022
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations Aishik Konwer Xuan Xu Joseph Bae Chaoyu Chen Prateek Prasanna MedIm 36 15 0 02 Mar 2022
Recent, rapid advancement in visual question answering architecture: a review V. Kodali Daniel Berleant 40 9 0 02 Mar 2022
A Classical-Quantum Convolutional Neural Network for Detecting Pneumonia from Chest Radiographs V. Kulkarni S. Pawale A. Kharat 19 12 0 19 Feb 2022
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications Kexin Ding Mu Zhou Zichen Wang Qiao Liu C. Arnold Shaoting Zhang Dimitris N. Metaxas GNN MedIm AI4CE 33 12 0 17 Feb 2022
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron Asifullah Khan Dr. Saddam Hussain Khan Mahrukh Saif Asiya Batool A. Sohail Muhammad Waleed Khan 43 48 0 13 Feb 2022
Deep Learning for Epidemiologists: An Introduction to Neural Networks S. Serghiou K. Rough FedML 24 13 0 02 Feb 2022
Hyperparameter Optimization for COVID-19 Chest X-Ray Classification I. Hamdi Muhammad Ridzuan Mohammad Yaqub LM&MA 119 0 0 26 Jan 2022
Improving Chest X-Ray Report Generation by Leveraging Warm Starting Aaron Nicolson Jason Dowling Bevan Koopman ViT LM&MA MedIm 30 90 0 24 Jan 2022
A Cognitive Explainer for Fetal ultrasound images classifier Based on Medical Concepts Ying-Shuai Wanga Yunxia Liua Licong Dongc Xuzhou Wua Huabin Zhangb Qiongyu Yed Desheng Sunc Xiaobo Zhoue Kehong Yuan 27 0 0 19 Jan 2022
An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs Mehreen Sirshar Taimur Hassan M. Akram S. Khan 27 33 0 07 Jan 2022
Coherence Learning using Keypoint-based Pooling Network for Accurately Assessing Radiographic Knee Osteoarthritis K. Zheng Yirui Wang C. Hsieh Le Lu Jing Xiao C. Kuo S. Miao 16 1 0 16 Dec 2021
Predicting Poverty Level from Satellite Imagery using Deep Neural Networks Varun Chitturi Zaid Nabulsi 32 7 0 30 Nov 2021
MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack Mengting Xu Tao Zhang Daoqiang Zhang AAML MedIm 21 23 0 29 Nov 2021
RapidRead: Global Deployment of State-of-the-art Radiology AI for a Large Veterinary Teleradiology Practice Michael Fitzke Conrad Stack Andre Dourson Rodrigo M. B. Santana Diane U Wilson L. Ziemer Arjun Soin M. Lungren Paul Fisher Mark Parkinson LM&MA MedIm 24 5 0 09 Nov 2021
Improved Regularization and Robustness for Fine-tuning in Neural Networks Dongyue Li Hongyang R. Zhang NoLa 55 54 0 08 Nov 2021
SCALP -- Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata Ajay Jaiswal Tianhao Li Cyprian Zander Yan Han Justin F. Rousseau Yifan Peng Ying Ding 36 14 0 27 Oct 2021
MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis Hossein Aboutalebi Maya Pavlova Hayden Gunraj M. Shafiee A. Sabri Amer Alaref Alexander Wong 28 17 0 12 Oct 2021
Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features L. Crespi Daniele Loiacono A. Chiti 18 4 0 29 Sep 2021
REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays Ricardo Bigolin Lanfredi Mingyuan Zhang W. Auffermann Jessica Chan Phuong-Anh T. Duong Vivek Srikumar Trafton Drew Joyce D. Schroeder Tolga Tasdizen 16 40 0 29 Sep 2021
Predicting Visual Improvement after Macular Hole Surgery: a Cautionary Tale on Deep Learning with Very Limited Data Mathieu Godbout Université Laval F. Antaki A. Dirani Audrey Durand MedIm 9 1 0 20 Sep 2021
Towards Resilient Artificial Intelligence: Survey and Research Issues Oliver Eigner Sebastian Eresheim Peter Kieseberg Lukas Daniel Klausner Martin Pirker Torsten Priebe S. Tjoa Fiammetta Marulli F. Mercaldo AI4CE 27 18 0 18 Sep 2021