Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes

12 February 2020

Lawrence Carin

Papers citing "Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes"

31 / 31 papers shown

Title
Generative AI for Software Architecture. Applications, Trends, Challenges, and Future Directions Matteo Esposito Xiaozhou Li Sergio Moreschini Noman Ahmad T. Cerný Karthik Vaidhyanathan Valentina Lenarduzzi Davide Taibi AI4CE 67 0 0 17 Mar 2025
X2CT-CLIP: Enable Multi-Abnormality Detection in Computed Tomography from Chest Radiography via Tri-Modal Contrastive Learning Jianzhong You Yuan Gao Sangwook Kim Chris McIntosh 95 1 0 04 Mar 2025
CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT Volumes Theo Di Piazza 55 1 0 21 Aug 2024
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 256 42,038 0 03 Dec 2019
Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-Scale Booster Qingbin Shao Lijun Gong Kai Ma Hualuo Liu Yefeng Zheng MedIm 48 36 0 09 Jul 2019
Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels Sebastian Gündel Florin-Cristian Ghesu Sasa Grbic Eli Gibson Bogdan Georgescu Andreas Maier Dorin Comaniciu 46 25 0 15 May 2019
Transfusion: Understanding Transfer Learning for Medical Imaging M. Raghu Chiyuan Zhang Jon M. Kleinberg Samy Bengio MedIm 55 980 0 14 Feb 2019
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs Alistair E. W. Johnson Tom Pollard Nathaniel R. Greenbaum M. Lungren Chih-ying Deng Yifan Peng Zhiyong Lu R. Mark Seth Berkowitz Steven Horng MedIm 71 803 0 21 Jan 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 83 2,568 0 21 Jan 2019
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs Yuxing Tang Xiaosong Wang Adam P. Harrison Le Lu Jing Xiao Ronald M. Summers 59 153 0 19 Jul 2018
Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays Chaochao Yan Jiawen Yao Ruoyu Li Zheng Xu Junzhou Huang 32 118 0 16 Jul 2018
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions L. Yao Jordan Prosky Eric Poblenz Ben Covington Kevin Lyman 35 121 0 21 Mar 2018
Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks Sebastian Gündel Sasa Grbic Bogdan Georgescu S. Kevin Zhou L. Ritschl A. Meier Dorin Comaniciu 31 193 0 12 Mar 2018
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification Ivo M. Baltruschat H. Nickisch M. Grass T. Knopp A. Saalbach 46 382 0 06 Mar 2018
Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification Q. Guan Yaping Huang Zhun Zhong Zhedong Zheng Liang Zheng Yi Yang 40 259 0 30 Jan 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 49 465 0 12 Jan 2018
Visualizing the Loss Landscape of Neural Nets Hao Li Zheng Xu Gavin Taylor Christoph Studer Tom Goldstein 232 1,873 0 28 Dec 2017
NegBio: a high-performance tool for negation and uncertainty detection in radiology reports Yifan Peng Xiaosong Wang Le Lu M. Bagheri Ronald M. Summers Zhiyong Lu MedIm UQCV 35 199 0 16 Dec 2017
Intelligent Word Embeddings of Free-Text Radiology Reports Imon Banerjee Sriraman Madhavan R. Goldman D. Rubin MedIm 23 32 0 19 Nov 2017
Thoracic Disease Identification and Localization with Limited Supervision Zhe Li Chong Wang Mei Han Yuan Xue Wei Wei Li Li F. Li 52 329 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 46 334 0 28 Oct 2017
Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks M. Islam Md Abdul Aowal A. T. Minhaz Khalid Ashraf 49 189 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 126 2,495 0 05 May 2017
Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis Stergios Christodoulidis M. Anthimopoulos L. Ebner Andreas Christe Stavroula Mougiakakou 25 133 0 08 Dec 2016
Enriching Word Vectors with Subword Information Piotr Bojanowski Edouard Grave Armand Joulin Tomas Mikolov NAI SSL VLM 192 9,944 0 15 Jul 2016
Bag of Tricks for Efficient Text Classification Armand Joulin Edouard Grave Piotr Bojanowski Tomas Mikolov VLM 97 4,596 0 06 Jul 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 336 18,300 0 27 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 301 43,511 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 928 99,991 0 04 Sep 2014
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 296 33,445 0 16 Oct 2013