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Radiologists are tasked with interpreting a large number of images in a daily base, with the responsibility of generating corresponding reports.
Modular learning in neural networks
Dana H Ballard · 1987
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Growth responses of 15 rain-forest tree species to a light gradient: the relative importance of morphological and physiological traits
Lourens Poorter · 1999
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin · 2004
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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The multimodal brain tumor image segmentation benchmark (brats)
Bjoern H Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, et al · 2014
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The effects of changes in utilization and technological advancements of cross-sectional imaging on radiologist workload
Robert J McDonald, Kara M Schwartz, Laurence J Eckel, Felix E Diehn, Christopher H Hunt, Brian J Bartholmai, Bradley J Erickson, and David F Kallmes · 2015
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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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Segmentation labels and radiomic features for the pre-operative scans of the tcga-lgg collection
Spyridon Bakas, Hamed Akbari, Aristeidis Sotiras, Michel Bilello, Martin Rozycki, Justin Kirby, John Freymann, Keyvan Farahani, and Christos Davatzikos · 2017
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Advancing the cancer genome atlas glioma mri collections with expert segmentation labels and radiomic features
Spyridon Bakas, Hamed Akbari, Aristeidis Sotiras, Michel Bilello, Martin Rozycki, Justin S Kirby, John B Freymann, Keyvan Farahani, and Christos Davatzikos · 2017
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Macroanatomy and 3d probabilistic atlas of the human insula
Isabelle Faillenot, Rolf A Heckemann, Maud Frot, and Alexander Hammers · 2017
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The anatomical tracings of lesions after stroke (atlas) dataset-release 1.1
Sook-Lei Liew, Julia M Anglin, Nick W Banks, Matt Sondag, Kaori L Ito, Hosung Kim, Jennifer Chan, Joyce Ito, Connie Jung, Stephanie Lefebvre, et al · 2017
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Neural discrete representation learning
Aaron Van Den Oord, Oriol Vinyals, et al · 2017
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Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports
Alistair EW Johnson, Tom J Pollard, Seth J Berkowitz, Nathaniel R Greenbaum, Matthew P Lungren, Chih-ying Deng, Roger G Mark, and Steven Horng · 2019
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Standardized assessment of automatic segmentation of white matter hyperintensities and results of the wmh segmentation challenge
Hugo J Kuijf, J Matthijs Biesbroek, Jeroen De Bresser, Rutger Heinen, Simon Andermatt, Mariana Bento, Matt Berseth, Mikhail Belyaev, M Jorge Cardoso, Adria Casamitjana, et al · 2019
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Clinically accurate chest x-ray report generation
Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, and Marzyeh Ghassemi · 2019
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Error in radiology—where are we now?
Giles Maskell and FRCR FRCP · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
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f-anogan: Fast unsupervised anomaly detection with generative adversarial networks
Thomas Schlegl, Philipp Seeböck, Sebastian M Waldstein, Georg Langs, and Ursula Schmidt-Erfurth · 2019
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Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi · 2019
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Generating radiology reports via memory-driven transformer
Zhihong Chen, Yan Song, Tsung-Hui Chang, and Xiang Wan · 2020
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Dare: Data augmented relation extraction with gpt-2
Yannis Papanikolaou and Andrea Pierleoni · 2020
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Ujjwal Baid, Satyam Ghodasara, Suyash Mohan, Michel Bilello, Evan Calabrese, Errol Colak, Keyvan Farahani, Jayashree Kalpathy-Cramer, Felipe C Kitamura, Sarthak Pati, et al · 2021
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Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images
Label-free liver tumor segmentation
Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan L Yuille, and Zongwei Zhou · 2023
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A ready-to-use machine learning tool for symmetric multi-modality registration of brain mri
Juan Eugenio Iglesias · 2023
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Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu, Debanjan Haldar, Zhifan Jiang, Syed Muhammed Anwar, Jake Albrecht, Maruf Adewole, Udunna Anazodo, Hannah Anderson, et al · 2023
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The asnr-miccai brain tumor segmentation (brats) challenge 2023: Intracranial meningioma
Dominic LaBella, Maruf Adewole, Michelle Alonso-Basanta, Talissa Altes, Syed Muhammad Anwar, Ujjwal Baid, Timothy Bergquist, Radhika Bhalerao, Sully Chen, Verena Chung, et al · 2023
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Dynamic graph enhanced contrastive learning for chest x-ray report generation
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Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Dong Yang, Holger R Roth, and Daguang Xu · 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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Whole brain segmentation with full volume neural network
Yeshu Li, Jonathan Cui, Yilun Sheng, Xiao Liang, Jingdong Wang, I Eric, Chao Chang, and Yan Xu · 2021
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Implicit field learning for unsupervised anomaly detection in medical images
Sergio Naval Marimont and Giacomo Tarroni · 2021
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Progressive transformer-based generation of radiology reports
Farhad Nooralahzadeh, Nicolas Perez Gonzalez, Thomas Frauenfelder, Koji Fujimoto, and Michael Krauthammer · 2021
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Detecting outliers with poisson image interpolation
Jeremy Tan, Benjamin Hou, Thomas Day, John Simpson, Daniel Rueckert, and Bernhard Kainz · 2021
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Visual-textual attentive semantic consistency for medical report generation
Yi Zhou, Lei Huang, Tao Zhou, Huazhu Fu, and Ling Shao · 2021
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Flamingo: a visual language model for few-shot learning
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, et al · 2022
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Mingjie Li, Bingqian Lin, Zicong Chen, Haokun Lin, Xiaodan Liang, and Xiaojun Chang · 2023
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The brain tumor segmentation (brats-mets) challenge 2023: Brain metastasis segmentation on pre-treatment mri
Ahmed W Moawad, Anastasia Janas, Ujjwal Baid, Divya Ramakrishnan, Leon Jekel, Kiril Krantchev, Harrison Moy, Rachit Saluja, Klara Osenberg, Klara Wilms, et al · 2023
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Foundation models for generalist medical artificial intelligence
Michael Moor, Oishi Banerjee, Zahra Shakeri Hossein Abad, Harlan M Krumholz, Jure Leskovec, Eric J Topol, and Pranav Rajpurkar · 2023
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Med-flamingo: a multimodal medical few-shot learner
Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Yash Dalmia, Jure Leskovec, Cyril Zakka, Eduardo Pontes Reis, and Pranav Rajpurkar · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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Towards generalist foundation model for radiology
Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, and Weidi Xie · 2023
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Evaluating progress in automatic chest x-ray radiology report generation
Feiyang Yu, Mark Endo, Rayan Krishnan, Ian Pan, Andy Tsai, Eduardo Pontes Reis, Eduardo Kaiser Ururahy Nunes Fonseca, Henrique Min Ho Lee, Zahra Shakeri Hossein Abad, Andrew Y Ng, et al · 2023
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Unsupervised brain tumor segmentation with image-based prompts
Xinru Zhang, Ni Ou, Chenghao Liu, Zhizheng Zhuo, Yaou Liu, and Chuyang Ye · 2023
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Pmc-vqa: Visual instruction tuning for medical visual question answering
Xiaoman Zhang, Chaoyi Wu, Ziheng Zhao, Weixiong Lin, Ya Zhang, Yanfeng Wang, and Weidi Xie · 2023
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Self-supervised tumor segmentation with sim2real adaptation
Xiaoman Zhang, Weidi Xie, Chaoqin Huang, Ya Zhang, Xin Chen, Qi Tian, and Yanfeng Wang · 2023
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One model to rule them all: Towards universal segmentation for medical images with text prompt, 2023
Ziheng Zhao, Yao Zhang, Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, and Weidi Xie · 2023
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Towards generalist biomedical ai
Tao Tu, Shekoofeh Azizi, Danny Driess, Mike Schaekermann, Mohamed Amin, Pi-Chuan Chang, Andrew Carroll, Charles Lau, Ryutaro Tanno, Ira Ktena, et al · 2024
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Radgenome-chest ct: A grounded vision-language dataset for chest ct analysis
Xiaoman Zhang, Chaoyi Wu, Ziheng Zhao, Jiayu Lei, Ya Zhang, Yanfeng Wang, and Weidi Xie · 2024
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Ratescore: A metric for radiology report generation
Weike Zhao, Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, and Weidi Xie · 2024
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