Title
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction Jiarun Liu Ruirui Li Chuan Sun OOD NoLa VLM 27 32 0 11 Sep 2021
Studying the Effects of Self-Attention for Medical Image Analysis Adrit Rao Jongchan Park Sanghyun Woo Joon-Young Lee Oliver Aalami 22 27 0 02 Sep 2021
OOWL500: Overcoming Dataset Collection Bias in the Wild Brandon Leung Chih-Hui Ho Amir Persekian David Orozco Yen Chang Erik Sandström Bo Liu Nuno Vasconcelos 19 3 0 24 Aug 2021
Semi-supervised learning for medical image classification using imbalanced training data T. Huynh Aiden Nibali Zhen He 19 70 0 20 Aug 2021
Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis Jessie Liu B. Gallego S. Barbieri 27 14 0 17 Aug 2021
Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans Noa Cahan E. Marom S. Soffer Y. Barash Eli Konen Eyal Klang H. Greenspan 42 8 0 26 Jul 2021
Class dependency based learning using Bi-LSTM coupled with the transfer learning of VGG16 for the diagnosis of Tuberculosis from chest x-rays G. Jignesh Chowdary G. Suganya M. Premalatha K. Karunamurthy 32 6 0 19 Jul 2021
Medical Imaging with Deep Learning for COVID- 19 Diagnosis: A Comprehensive Review Subrato Bharati Prajoy Podder M. Rubaiyat Hossain Mondal V. B. Surya Prasath 28 39 0 13 Jul 2021
VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs Hieu T. Nguyen Hieu H. Pham N. T. Nguyen H. Nguyen T. Q. Huynh Minh Dao V. Vu MedIm 19 34 0 24 Jun 2021
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning Manvel Avetisian I. Burenko K. Egorov V. Kokh A. Nesterov A. Nikolaev Alexander Ponomarchuk Elena Sokolova Alexander Tuzhilin Dmitry Umerenkov OOD 31 5 0 25 May 2021
Transfer learning approach to Classify the X-ray image that corresponds to corona disease Using ResNet50 pretrained by ChexNet Mahyar Bolhassani 8 3 0 18 May 2021
Acute Lymphoblastic Leukemia Detection from Microscopic Images Using Weighted Ensemble of Convolutional Neural Networks Chayan Mondal Md. Kamrul Hasan Md. Tasnim Jawad Aishwariya Dutta M. Islam Md. Abdul Awal Mohiudding Ahmad 31 23 0 09 May 2021
Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation E. Giacomello P. Lanzi Daniele Loiacono Luca Nassano 17 5 0 05 May 2021
Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning Matthew Watson Noura Al Moubayed AAML MedIm 12 20 0 05 May 2021
COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images Hossein Aboutalebi Maya Pavlova M. Shafiee A. Sabri Amer Alaref Alexander Wong 21 32 0 01 May 2021
A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation Jie Lian Jingyun Liu Shu Zhen Zhang Kai Gao Xiaoqing Liu Dingwen Zhang Yizhou Yu 35 41 0 21 Apr 2021
Model Selection's Disparate Impact in Real-World Deep Learning Applications Jessica Zosa Forde A. Feder Cooper Kweku Kwegyir-Aggrey Chris De Sa Michael Littman 11 22 0 01 Apr 2021
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features Ashkan Khakzar Yang Zhang W. Mansour Yuezhi Cai Yawei Li Yucheng Zhang Seong Tae Kim Nassir Navab FAtt 52 17 0 01 Apr 2021
Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking Andrew N. Carr Quentin Berthet Mathieu Blondel O. Teboul Neil Zeghidour SSL 24 24 0 17 Mar 2021
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification Fengbei Liu Yu Tian F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro 23 41 0 05 Mar 2021
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack Mengting Xu Tao Zhang Zhongnian Li Mingxia Liu Daoqiang Zhang AAML OOD MedIm 33 41 0 05 Mar 2021
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification Yi Zhou Lei Huang Tianfei Zhou Ling Shao 28 8 0 26 Feb 2021
Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching Scott Cheng-Hsin Yang Wai Keen Vong Ravi B. Sojitra Tomas Folke Patrick Shafto 16 42 0 07 Feb 2021
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation Alexander Ke William Ellsworth Oishi Banerjee A. Ng Pranav Rajpurkar MedIm 73 101 0 18 Jan 2021
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction Anuroop Sriram Matthew Muckley Koustuv Sinha Farah E. Shamout Joelle Pineau Krzysztof J. Geras Lea Azour Y. Aphinyanaphongs N. Yakubova W. Moore MedIm 134 64 0 13 Jan 2021
Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning Yan Han Chongyan Chen Ahmed H. Tewfik Ying Ding Yifan Peng LM&MA 38 39 0 12 Jan 2021
Explaining the Black-box Smoothly- A Counterfactual Approach Junyu Chen Yong Du Yufan He W. Paul Segars Ye Li MedIm FAtt 65 100 0 11 Jan 2021
Multi-label Ranking: Mining Multi-label and Label Ranking Data L. Dery 29 7 0 03 Jan 2021
Chest x-ray automated triage: a semiologic approach designed for clinical implementation, exploiting different types of labels through a combination of four Deep Learning architectures Candelaria Mosquera F. N. Diaz F. Binder J. Rabellino S. Benítez A. Beresñak A. Seehaus Gabriel Ducrey J. Ocantos Daniela Luna 24 13 0 23 Dec 2020
Automatic Diagnosis of Pneumothorax from Chest Radiographs: A Systematic Literature Review Tahira Iqbal A. Shaukat M. Akram Zartasha Mustansar 30 10 0 21 Dec 2020
Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies Weronika Hryniewska Przemysław Bombiński P. Szatkowski Paulina Tomaszewska A. Przelaskowski P. Biecek OOD 32 47 0 11 Dec 2020
Deformable Gabor Feature Networks for Biomedical Image Classification Xuan Gong Xin Xia Wentao Zhu Baochang Zhang David Doermann Lian Zhuo OOD MedIm 22 24 0 07 Dec 2020
Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approach Julián D. Arias-Londoño J. Gómez-García Laureano Moro Velázquez Juan Ignacio Godino-Llorente 37 78 0 29 Nov 2020
Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images J. E. Arco A. Ortiz J. Ramírez Francisco J. Martínez-Murcia Yudong Zhang Juan M Gorriz UQCV 27 3 0 27 Nov 2020
Transfer Learning for Oral Cancer Detection using Microscopic Images Rutwik Palaskar R. Vyas Vilas Khedekar S. Palaskar Pranjal Sahu 19 17 0 23 Nov 2020
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning H. Alshazly C. Linse Erhardt Barth T. Martinetz 26 159 0 09 Nov 2020
Triage of Potential COVID-19 Patients from Chest X-ray Images using Hierarchical Convolutional Networks K. Dev Sunder Ali Khowaja A. Bist V. Saini Surbhi Bhatia 30 29 0 01 Nov 2020
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images Pablo Messina Pablo Pino Denis Parra Alvaro Soto Cecilia Besa S. Uribe Marcelo andía C. Tejos Claudia Prieto Daniel Capurro MedIm 36 62 0 20 Oct 2020
Convolutional-LSTM for Multi-Image to Single Output Medical Prediction Luis Leal Marvin Castillo Fernando Juarez Erick Ramirez Mildred Aspuac Diana Letona MedIm 6 1 0 20 Oct 2020
MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models Hari Sowrirajan Jingbo Yang A. Ng Pranav Rajpurkar 26 86 0 11 Oct 2020
Classification of COVID-19 in CT Scans using Multi-Source Transfer Learning A. Martínez OOD 8 12 0 22 Sep 2020
CCBlock: An Effective Use of Deep Learning for Automatic Diagnosis of COVID-19 Using X-Ray Images A. Al-Bawi K. Al-Kaabi Mohammed Jeryo A. Al-Fatlawi 14 16 0 21 Sep 2020
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images Lucas O. Teixeira R. M. Pereira Diego Bertolini Luiz Eduardo Soares de Oliveira L. Nanni George D. C. Cavalcanti Yandre M. G. Costa 21 114 0 21 Sep 2020
Bias Field Poses a Threat to DNN-based X-Ray Recognition Binyu Tian Qing Guo Felix Juefei Xu W. L. Chan Yupeng Cheng Xiaohong Li Xiaofei Xie Shengchao Qin AAML AI4CE 34 33 0 19 Sep 2020
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports Yikuan Li Hanyin Wang Yuan Luo 19 63 0 03 Sep 2020
Deep Learning to Quantify Pulmonary Edema in Chest Radiographs Steven Horng Ruizhi Liao Xin Wang Sandeep Dalal Polina Golland Seth Berkowitz 17 36 0 13 Aug 2020
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units linda Qiao Yanbo Xu Alind Khare Satria Priambada K. Maher Alaa Aljiffry Jimeng Sun Alexey Tumanov OOD 25 84 0 10 Aug 2020
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging N. Arun N. Gaw P. Singh Ken Chang M. Aggarwal ... J. Patel M. Gidwani Julius Adebayo M. D. Li Jayashree Kalpathy-Cramer FAtt 17 109 0 06 Aug 2020
Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation S. Guendel A. Setio Sasa Grbic Andreas Maier Dorin Comaniciu 14 3 0 05 Aug 2020
MultiCheXNet: A Multi-Task Learning Deep Network For Pneumonia-like Diseases Diagnosis From X-ray Scans Abdullah Tarek Farag A. A. El-Wahab Mahmoud Nada M. A. El-Hakeem Omar Sayed Mahmoud Reem Khaled Rashwan Ahmad El-Sallab 26 5 0 05 Aug 2020