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In clinical radiology reports, doctors capture important information about the patient's health status.
Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists’ detection of pulmonary nodules
Junji Shiraishi, Shigehiko Katsuragawa, Junpei Ikezoe, Tsuneo Matsumoto, Takeshi Kobayashi, Ken-ichi Komatsu, Mitate Matsui, Hiroshi Fujita, Yoshie Kodera, and Kunio Doi · 2000
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Fundamentals of computerized tomography: image reconstruction from projections
Gabor T Herman · 2009
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Lung and lung lobe segmentation methods at fraunhofer mevis
Bianca Lassen, Jan-Martin Kuhnigk, Michael Schmidt, Stefan Krass, and Heinz-Otto Peitgen · 2011
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2010 i2b2/va challenge on concepts, assertions, and relations in clinical text
Özlem Uzuner, Brett R South, Shuying Shen, and Scott L DuVall · 2011
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Fundamentals of diagnostic radiology
William E Brant and Clyde A Helms · 2012
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Automatic segmentation of the pulmonary lobes from chest ct scans based on fissures, vessels, and bronchi
Bianca Lassen, Eva M van Rikxoort, Michael Schmidt, Sjoerd Kerkstra, Bram van Ginneken, and Jan-Martin Kuhnigk · 2012
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Initial assessment and treatment with the airway, breathing, circulation, disability, exposure (abcde) approach
Troels Thim, Niels Henrik Vinther Krarup, Erik Lerkevang Grove, Claus Valter Rohde, and Bo Løfgren · 2012
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Automatic tuberculosis screening using chest radiographs
Stefan Jaeger, Alexandros Karargyris, Sema Candemir, Les Folio, Jenifer Siegelman, Fiona Callaghan, Zhiyun Xue, Kannappan Palaniappan, Rahul K Singh, Sameer Antani, et al · 2013
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Selective search for object recognition
Jasper RR Uijlings, Koen EA Van De Sande, Theo Gevers, and Arnold WM Smeulders · 2013
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Pneumothorax: from definition to diagnosis and treatment
Paul Zarogoulidis, Ioannis Kioumis, Georgia Pitsiou, Konstantinos Porpodis, Sofia Lampaki, Antonis Papaiwannou, Nikolaos Katsikogiannis, Bojan Zaric, Perin Branislav, Nevena Secen, et al · 2014
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Edge boxes: Locating object proposals from edges
C Lawrence Zitnick and Piotr Dollár · 2014
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Anatomy of the thoracic wall, pulmonary cavities, and mediastinum
Mark S Cook and Anthony J Weinhaus · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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How the machine ‘thinks’: Understanding opacity in machine learning algorithms
Jenna Burrell · 2016
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Clinical utility of chest computed tomography in patients with rib fractures ct chest and rib fractures
Brandon C Chapman, Douglas M Overbey, Feven Tesfalidet, Kristofer Schramm, Robert T Stovall, Andrew French, Jeffrey L Johnson, Clay C Burlew, Carlton Barnett, Ernest E Moore, et al · 2016
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3d u-net: learning dense volumetric segmentation from sparse annotation
Özgün Çiçek, Ahmed Abdulkadir, Soeren S Lienkamp, Thomas Brox, and Olaf Ronneberger · 2016
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The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
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Preparing a collection of radiology examinations for distribution and retrieval
Dina Demner-Fushman, Marc D Kohli, Marc B Rosenman, Sonya E Shooshan, Laritza Rodriguez, Sameer Antani, George R Thoma, and Clement J McDonald · 2016
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Multimodal compact bilinear pooling for visual question answering and visual grounding
Akira Fukui, Dong Huk Park, Daylen Yang, Anna Rohrbach, Trevor Darrell, and Marcus Rohrbach · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Mimic-iii, a freely accessible critical care database
Alistair EW Johnson, Tom J Pollard, Lu Shen, H Lehman Li-Wei, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G Mark · 2016
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Learning deep features for discriminative localization
Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, and Antonio Torralba · 2016
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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Chexnet: Radiologist-level pneumonia detection on chest x-rays with deep learning
Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis Langlotz, Katie Shpanskaya, et al · 2017
Cited alongside, same era.
Grad-cam: Visual explanations from deep networks via gradient-based localization
Ramprasaath R Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 2017
Cited alongside, same era.
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, Mohammadhadi Bagheri, and Ronald M Summers · 2017
Cited alongside, same era.
Weakly-supervised visual grounding of phrases with linguistic structures
Fanyi Xiao, Leonid Sigal, and Yong Jae Lee · 2017
Cited alongside, same era.
Visual grounding via accumulated attention
Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu, and Mingkui Tan · 2018
Segthor: Segmentation of thoracic organs at risk in ct images
Zoé Lambert, Caroline Petitjean, Bernard Dubray, and Su Kuan · 2020
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A vertebral segmentation dataset with fracture grading
Maximilian T Löffler, Anjany Sekuboyina, Alina Jacob, Anna-Lena Grau, Andreas Scharr, Malek El Husseini, Mareike Kallweit, Claus Zimmer, Thomas Baum, and Jan S Kirschke · 2020
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Self-guided multiple instance learning for weakly supervised thoracic diseaseclassification and localizationin chest radiographs
Constantin Seibold, Jens Kleesiek, Heinz-Peter Schlemmer, and Rainer Stiefelhagen · 2020
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Akshay Smit, Saahil Jain, Pranav Rajpurkar, Anuj Pareek, Andrew Y Ng, and Matthew P Lungren · 2020
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Unsupervised domain adaptation in semantic segmentation: a review
Marco Toldo, Andrea Maracani, Umberto Michieli, and Pietro Zanuttigh · 2020
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Cited alongside, same era.
Deep learning with lung segmentation and bone shadow exclusion techniques for chest x-ray analysis of lung cancer
Yu Gordienko, Peng Gang, Jiang Hui, Wei Zeng, Yu Kochura, Oleg Alienin, Oleksandr Rokovyi, and Sergii Stirenko · 2018
Cited alongside, same era.
Stacked cross attention for image-text matching
Kuang-Huei Lee, Xi Chen, Gang Hua, Houdong Hu, and Xiaodong He · 2018
Cited alongside, same era.
Bimodal network architectures for automatic generation of image annotation from text
Mehdi Moradi, Ali Madani, Yaniv Gur, Yufan Guo, and Tanveer Syeda-Mahmood · 2018
Cited alongside, same era.
Tienet: Text-image embedding network for common thorax disease classification and reporting in chest x-rays
Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, and Ronald M Summers · 2018
Cited alongside, same era.
Diagnostic accuracy of computed tomography scout film and chest x-ray for detection of rib fractures in patients with chest trauma: a cross-sectional study
Muhammad Awais, Basit Salam, Naila Nadeem, Abdul Rehman, and Noor U Baloch · 2019
Cited alongside, same era.
Biosentvec: creating sentence embeddings for biomedical texts
Qingyu Chen, Yifan Peng, and Zhiyong Lu · 2019
Cited alongside, same era.
Align2ground: Weakly supervised phrase grounding guided by image-caption alignment
Samyak Datta, Karan Sikka, Anirban Roy, Karuna Ahuja, Devi Parikh, and Ajay Divakaran · 2019
Cited alongside, same era.
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Automatic bounding box annotation of chest x-ray data for localization of abnormalities
Joy Wu, Yaniv Gur, Alexandros Karargyris, Ali Bin Syed, Orest Boyko, Mehdi Moradi, and Tanveer Syeda-Mahmood · 2020
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Contrastive learning of medical visual representations from paired images and text
Yuhao Zhang, Hang Jiang, Yasuhide Miura, Christopher D Manning, and Curtis P Langlotz · 2020
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Anaxnet: Anatomy aware multi-label finding classification in chest x-ray
Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, and James Hendler · 2021
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Improving pneumonia localization via cross-attention on medical images and reports
Riddhish Bhalodia, Ali Hatamizadeh, Leo Tam, Ziyue Xu, Xiaosong Wang, Evrim Turkbey, and Daguang Xu · 2021
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Panoptic narrative grounding
Cristina González, Nicolás Ayobi, Isabela Hernandez, José Hernández, Jordi Pont-Tuset, and Pablo Arbelaez · 2021
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Ratchet: Medical transformer for chest x-ray diagnosis and reporting
Benjamin Hou, Georgios Kaissis, Ronald M. Summers, and Bernhard Kainz · 2021
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Gloria: A multimodal global-local representation learning framework for label-efficient medical image recognition
Shih-Cheng Huang, Liyue Shen, Matthew P Lungren, and Serena Yeung · 2021
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nnu-net: a self-configuring method for deep learning-based biomedical image segmentation
Fabian Isensee, Paul F Jaeger, Simon AA Kohl, Jens Petersen, and Klaus H Maier-Hein · 2021
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C-arm positioning for spinal standard projections in different intra-operative settings
Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, André Klein, Jan Siad El Barbari, Maxim Privalov, Sven Vetter, Andreas Mahnken, Lena Maier-Hein, and Klaus H. Maier-Hein · 2021
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Fully automated body composition analysis in routine ct imaging using 3d semantic segmentation convolutional neural networks
Sven Koitka, Lennard Kroll, Eugen Malamutmann, Arzu Oezcelik, and Felix Nensa · 2021
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Hans Liebl, David Schinz, Anjany Sekuboyina, Luca Malagutti, Maximilian T Löffler, Amirhossein Bayat, Malek El Husseini, Giles Tetteh, Katharina Grau, Eva Niederreiter, et al · 2021
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Variational topic inference for chest x-ray report generation
Ivona Najdenkoska, Xiantong Zhen, Marcel Worring, and Ling Shao · 2021
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Improving visual question answering by semantic segmentation
Viet-Quoc Pham, Nao Mishima, and Toshiaki Nakasu · 2021
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Verse: a vertebrae labelling and segmentation benchmark for multi-detector ct images
Anjany Sekuboyina, Malek E Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukačka, Christian Payer, Darko Štern, et al · 2021
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Medfusenet: An attention-based multimodal deep learning model for visual question answering in the medical domain
Dhruv Sharma, Sanjay Purushotham, and Chandan K Reddy · 2021
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Ribseg dataset and strong point cloud baselines for rib segmentation from ct scans
Jiancheng Yang, Shixuan Gu, Donglai Wei, Hanspeter Pfister, and Bingbing Ni · 2021
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Aligntransformer: Hierarchical alignment of visual regions and disease tags for medical report generation
Di You, Fenglin Liu, Shen Ge, Xiaoxia Xie, Jing Zhang, and Xian Wu · 2021
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Breaking with fixed set pathology recognition through report-guided contrastive training
Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Rainer Stiefelhagen, and Jens Kleesiek · 2022
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Expert-level detection of pathologies from unannotated chest x-ray images via self-supervised learning
Ekin Tiu, Ellie Talius, Pujan Patel, Curtis P Langlotz, Andrew Y Ng, and Pranav Rajpurkar · 2022
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