Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation

28 March 2016

Papers citing "Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation"

42 / 42 papers shown

Title
Boosting multi-demographic federated learning for chest x-ray analysis using general-purpose self-supervised representations Mahshad Lotfinia Arash Tayebiarasteh Samaneh Samiei Mehdi Joodaki Soroosh Tayebi Arasteh 35 0 0 11 Apr 2025
Image-to-Text for Medical Reports Using Adaptive Co-Attention and Triple-LSTM Module Yishen Liu Shengda Liu Hudan Pan MedIm 55 0 0 24 Mar 2025
Automated Radiology Report Generation: A Review of Recent Advances Phillip Sloan Philip Clatworthy Edwin Simpson Majid Mirmehdi 32 17 0 17 May 2024
Medical Report Generation based on Segment-Enhanced Contrastive Representation Learning Ruoqing Zhao Xi Wang Hongliang Dai Pan Gao Piji Li MedIm 41 3 0 26 Dec 2023
On The Expressivity of Recurrent Neural Cascades Nadezda A. Knorozova Alessandro Ronca 23 1 0 14 Dec 2023
Cross-dimensional transfer learning in medical image segmentation with deep learning Hicham Messaoudi Ahror Belaid Douraied BEN SALEM Pierre-Henri Conze MedIm 30 24 0 29 Jul 2023
Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports Qingqing Zhu T. Mathai P. Mukherjee Yifan Peng Ronald M. Summers Zhiyong Lu 32 17 0 14 Jun 2023
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges K. T. Baghaei Amirreza Payandeh Pooya Fayyazsanavi Shahram Rahimi Zhiqian Chen Somayeh Bakhtiari Ramezani FaML AI4TS 38 6 0 27 Nov 2022
Representative Image Feature Extraction via Contrastive Learning Pretraining for Chest X-ray Report Generation Yu-Jen Chen Wei-Hsiang Shen Hao-Wei Chung Jing-Hao Chiu Da-Cheng Juan T. Ho Chin-Tung Cheng Meng Li Tsung-Yi Ho MedIm 13 12 0 04 Sep 2022
Multistep Automated Data Labelling Procedure (MADLaP) for Thyroid Nodules on Ultrasound: An Artificial Intelligence Approach for Automating Image Annotation Jikai Zhang Maciej A. Mazurowski B. Allen B. Wildman-Tobriner 39 6 0 28 Jun 2022
Competence-based Multimodal Curriculum Learning for Medical Report Generation Fenglin Liu Shen Ge Yuexian Zou Xian Wu MedIm 35 132 0 24 Jun 2022
Cardiomegaly Detection using Deep Convolutional Neural Network with U-Net Soham S. Sarpotdar 19 6 0 23 May 2022
AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation Di You Fenglin Liu Shen Ge Xiaoxia Xie Jing Zhang Xian Wu ViT MedIm 31 107 0 18 Mar 2022
Inference of captions from histopathological patches M. Tsuneki F. Kanavati 16 31 0 07 Feb 2022
An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease Abbas Raza Ali M. Budka 27 5 0 29 Apr 2021
Progressive Transformer-Based Generation of Radiology Reports Farhad Nooralahzadeh Nicolas Andres Perez Gonzalez T. Frauenfelder Koji Fujimoto Michael Krauthammer ViT MedIm 23 85 0 19 Feb 2021
Diagnostic Captioning: A Survey John Pavlopoulos Vasiliki Kougia Ion Androutsopoulos D. Papamichail 3DV MedIm 91 26 0 18 Jan 2021
Multi-label Ranking: Mining Multi-label and Label Ranking Data L. Dery 32 7 0 03 Jan 2021
MELINDA: A Multimodal Dataset for Biomedical Experiment Method Classification Te-Lin Wu Shikhar Singh S. Paul Gully A. Burns Nanyun Peng 30 18 0 16 Dec 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
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays Jianmo Ni Chun-Nan Hsu Amilcare Gentili Julian McAuley MedIm 32 30 0 06 Oct 2020
Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation Mingjie Li Fuyu Wang Xiaojun Chang Xiaodan Liang MedIm 34 101 0 06 Jun 2020
CheXplain: Enabling Physicians to Explore and UnderstandData-Driven, AI-Enabled Medical Imaging Analysis Yao Xie Melody Chen David Kao Ge Gao Xiang Ánthony' Chen 31 126 0 15 Jan 2020
A Survey on Biomedical Image Captioning Vasiliki Kougia John Pavlopoulos Ion Androutsopoulos MedIm 22 80 0 26 May 2019
Contrast Enhancement of Medical X-Ray Image Using Morphological Operators with Optimal Structuring Element Rafsanjany Kushol Md. Nishat Raihan Md Sirajus Salekin A. A. Ashikur Rahman 16 16 0 21 May 2019
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation Youbao Tang Yuxing Tang Jing Xiao Ronald M. Summers 17 119 0 19 Apr 2019
Clinically Accurate Chest X-Ray Report Generation Guanxiong Liu T. Hsu Matthew B. A. McDermott Willie Boag W. Weng Peter Szolovits Marzyeh Ghassemi MedIm 39 271 0 04 Apr 2019
$Detection of distal radius fractures trained by a small set of X-ray images and Faster R-CNN$ Detection of distal radius fractures trained by a small set of X-ray images and Faster R-CNN E. Yahalomi M. Chernofsky M. Werman MedIm OOD 14 53 0 21 Dec 2018
Unsupervised Multimodal Representation Learning across Medical Images and Reports T. Hsu W. Weng Willie Boag Matthew B. A. McDermott Peter Szolovits SSL 25 35 0 21 Nov 2018
Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables Giovanni Sutanto J. Zech Luke Oakden-Rayner Yevgen Chebotar Manway Liu William Gale M. McConnell Ankur Handa Thomas M. Snyder Dieter Fox AI4CE OOD 39 241 0 08 Nov 2018
Can Artificial Intelligence Reliably Report Chest X-Rays?: Radiologist Validation of an Algorithm trained on 2.3 Million X-Rays Preetham Putha M. Tadepalli B. Reddy T. Raj Justy Antony Chiramal ... KS Manjunath Sundeep Reddivari Ammar Jagirdar Pooja Rao Prashant Warier MedIm 16 25 0 19 Jul 2018
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem Z. Ge Dwarikanath Mahapatra S. Sedai R. Garnavi R. Chakravorty 25 50 0 19 Jul 2018
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays Xiaosong Wang Yifan Peng Le Lu Zhiyong Lu Ronald M. Summers MedIm 38 462 0 12 Jan 2018
On the Automatic Generation of Medical Imaging Reports Baoyu Jing P. Xie Eric Xing MedIm 35 504 0 22 Nov 2017
Thoracic Disease Identification and Localization with Limited Supervision Zhe Li Chong Wang Mei Han Yuan Xue Wei Wei Li-Jia Li F. Li 27 329 0 17 Nov 2017
Learning to diagnose from scratch by exploiting dependencies among labels L. Yao Eric Poblenz Dmitry Dagunts Ben Covington D. Bernard Kevin Lyman 30 332 0 28 Oct 2017
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network Zizhao Zhang Yuanpu Xie Fuyong Xing M. McGough L. Yang MedIm 21 301 0 08 Jul 2017
Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks M. Islam Md Abdul Aowal A. T. Minhaz Khalid Ashraf 41 188 0 27 May 2017
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases Xiaosong Wang Yifan Peng Le Lu Zhiyong Lu M. Bagheri Ronald M. Summers LM&MA 60 2,474 0 05 May 2017
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays Wei-Ming Dai Joseph Doyle Xiaodan Liang Zeya Wang Nanqing Dong Huan Zhang Eric Xing MedIm 31 170 0 26 Mar 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 340 10,633 0 19 Feb 2017
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,639 0 03 Jul 2012