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"

32 / 32 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 32 0 0 11 Apr 2025
Automated Radiology Report Generation: A Review of Recent Advances Phillip Sloan Philip Clatworthy Edwin Simpson Majid Mirmehdi 30 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 21 3 0 26 Dec 2023
On The Expressivity of Recurrent Neural Cascades Nadezda A. Knorozova Alessandro Ronca 18 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 22 23 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 19 17 0 14 Jun 2023
Multistep Automated Data Labelling Procedure (MADLaP) for Thyroid Nodules on Ultrasound: An Artificial Intelligence Approach for Automating Image Annotation Jikai Zhang Maciej Mazurowski B. Allen B. Wildman-Tobriner 33 6 0 28 Jun 2022
Cardiomegaly Detection using Deep Convolutional Neural Network with U-Net Soham S. Sarpotdar 17 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 18 106 0 18 Mar 2022
Inference of captions from histopathological patches M. Tsuneki F. Kanavati 8 29 0 07 Feb 2022
An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease Abbas Raza Ali M. Budka 11 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 15 84 0 19 Feb 2021
Diagnostic Captioning: A Survey John Pavlopoulos Vasiliki Kougia Ion Androutsopoulos D. Papamichail 3DV MedIm 89 26 0 18 Jan 2021
Multi-label Ranking: Mining Multi-label and Label Ranking Data L. Dery 24 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 22 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 28 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 16 30 0 06 Oct 2020
Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation Mingjie Li Fuyu Wang Xiaojun Chang Xiaodan Liang MedIm 21 101 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 25 125 0 15 Jan 2020
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 11 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 25 270 0 04 Apr 2019
Unsupervised Multimodal Representation Learning across Medical Images and Reports T. Hsu W. Weng Willie Boag Matthew B. A. McDermott Peter Szolovits SSL 11 35 0 21 Nov 2018
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem Z. Ge Dwarikanath Mahapatra S. Sedai R. Garnavi R. Chakravorty 12 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 22 462 0 12 Jan 2018
On the Automatic Generation of Medical Imaging Reports Baoyu Jing P. Xie Eric P. Xing MedIm 27 503 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 14 327 0 17 Nov 2017
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network Zizhao Zhang Yuanpu Xie Fuyong Xing M. McGough L. Yang MedIm 13 301 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 33 188 0 27 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 H. M. Zhang Eric P. Xing MedIm 23 170 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 283 10,613 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 7,634 0 03 Jul 2012