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Radiological services are experiencing unprecedented demand, leading to increased interest in automating radiology report generation.
Matching pursuits with time-frequency dictionaries
Stéphane G Mallat and Zhifeng Zhang · 1993
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Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
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CheXpert: A large chest radiograph dataset with uncertainty labels and expert comparison
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Alistair EW Johnson, Tom J Pollard, Nathaniel R Greenbaum, Matthew P Lungren, Chih-ying Deng, Yifan Peng, Zhiyong Lu, Roger G Mark, Seth J Berkowitz, and Steven Horng · 2019
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NHS England and NHS Improvement · 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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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Improving factual completeness and consistency of image-to-text radiology report generation
Yasuhide Miura, Yuhao Zhang, Emily Bao Tsai, Curtis P Langlotz, and Dan Jurafsky · 2020
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Zoom in: An introduction to circuits
Chris Olah, Nick Cammarata, Ludwig Schubert, Gabriel Goh, Michael Petrov, and Shan Carter · 2020
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Squinting at vqa models: Introspecting vqa models with sub-questions
Ramprasaath R Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Tulio Ribeiro, Besmira Nushi, and Ece Kamar · 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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Tolga Bolukbasi, Adam Pearce, Ann Yuan, Andy Coenen, Emily Reif, Fernanda Viégas, and Martin Wattenberg · 2021
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Radgraph: Extracting clinical entities and relations from radiology reports
Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven QH Truong, Du Nguyen Duong, Tan Bui, Pierre Chambon, Yuhao Zhang, Matthew P Lungren, Andrew Y Ng, et al · 2021
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Pathology girft programme national specialty report, 2021
T Lewis, M Wood, and M Myers · 2021
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Improving the factual correctness of radiology report generation with semantic rewards
Jean-Benoit Delbrouck, Pierre Chambon, Christian Bluethgen, Emily Tsai, Omar Almusa, and Curtis P Langlotz · 2022
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Learn to explain: Multimodal reasoning via thought chains for science question answering
Pan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, and Ashwin Kalyan · 2022
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Learning to ask informative sub-questions for visual question answering
Kohei Uehara, Nan Duan, and Tatsuya Harada · 2022
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Co-vqa: Answering by interactive sub question sequence
Ruonan Wang, Yuxi Qian, Fangxiang Feng, Xiaojie Wang, and Huixing Jiang · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
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Learning to exploit temporal structure for biomedical vision-language processing
Shruthi Bannur, Stephanie Hyland, Qianchu Liu, Fernando Pérez-García, Maximilian Ilse, Daniel C. Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Wetscherek, Matthew P. Lungren, Aditya Nori, Javier Alvarez-Valle, and Ozan Oktay · 2023
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Towards monosemanticity: Decomposing language models with dictionary learning
Trenton Bricken, Adly Templeton, Joshua Batson, Brian Chen, Adam Jermyn, Tom Conerly, Nick Turner, Cem Anil, Carson Denison, Amanda Askell, Robert Lasenby, Yifan Wu, Shauna Kravec, Nicholas Schiefer, Tim Maxwell, Nicholas Joseph, Zac Hatfield-Dodds, Alex Tamkin, Karina Nguyen, Brayden McLean, Josiah E Burke, Tristan Hume, Shan Carter, Tom Henighan, and Christopher Olah · 2023
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Sparse autoencoders find highly interpretable features in language models
Hoagy Cunningham, Aidan Ewart, Logan Riggs, Robert Huben, and Lee Sharkey · 2023
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Finding neurons in a haystack: Case studies with sparse probing
Wes Gurnee, Neel Nanda, Matthew Pauly, Katherine Harvey, Dmitrii Troitskii, and Dimitris Bertsimas · 2023
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Diffusers: State-of-the-art diffusion models in pytorch
Huggingface · 2023
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Maira-1: A specialised large multimodal model for radiology report generation
Stephanie L Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C Castro, Mercy Ranjit, Anton Schwaighofer, Fernando Pérez-García, Valentina Salvatelli, Shaury Srivastav, Anja Thieme, et al · 2023
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Chatgpt makes medicine easy to swallow: an exploratory case study on simplified radiology reports
Katharina Jeblick, Balthasar Schachtner, Jakob Dexl, Andreas Mittermeier, Anna Theresa Stüber, Johanna Topalis, Tobias Weber, Philipp Wesp, Bastian Oliver Sabel, Jens Ricke, et al · 2023
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Benefits, limits, and risks of gpt-4 as an ai chatbot for medicine
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Gytis Daujotas · 2024
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The missing curve detectors of inceptionv1: Applying sparse autoencoders to inceptionv1 early vision
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Peter Lee, Sebastien Bubeck, and Joseph Petro · 2023
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Video-llava: Learning united visual representation by alignment before projection
Bin Lin, Bin Zhu, Yang Ye, Munan Ning, Peng Jin, and Li Yuan · 2023
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Z Liu, A Zhong, Y Li, et al · 2023
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Measuring axiomatic soundness of counterfactual image models
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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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Pragmatic radiology report generation
Dang Nguyen, Chacha Chen, He He, and Chenhao Tan · 2023
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Improving chest x-ray report generation by leveraging warm starting
Aaron Nicolson, Jason Dowling, and Bevan Koopman · 2023
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Dinov2: Learning robust visual features without supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, et al · 2023
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Liv Gorton · 2024
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Multimodal image-text matching improves retrieval-based chest x-ray report generation
Jaehwan Jeong, Katherine Tian, Andrew Li, Sina Hartung, Subathra Adithan, Fardad Behzadi, Juan Calle, David Osayande, Michael Pohlen, and Pranav Rajpurkar · 2024
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Promptmrg: Diagnosis-driven prompts for medical report generation
Haibo Jin, Haoxuan Che, Yi Lin, and Hao Chen · 2024
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Calibrated language models must hallucinate
Adam Tauman Kalai and Santosh S Vempala · 2024
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Llava-med: Training a large language-and-vision assistant for biomedicine in one day
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Scaling monosemanticity in language models
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Rad-dino: Exploring scalable medical image encoders beyond text supervision
Fernando Pérez-García, Harshita Sharma, Sam Bond-Taylor, Kenza Bouzid, Valentina Salvatelli, Maximilian Ilse, Shruthi Bannur, Daniel C Castro, Anton Schwaighofer, Matthew P Lungren, et al · 2024
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Improving dictionary learning with gated sparse autoencoders
Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Tom Lieberum, Vikrant Varma, János Kramár, Rohin Shah, and Neel Nanda · 2024
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From generalist to specialist: Incorporating domain-knowledge into flamingo for chest x-ray report generation
Raphael Stock, Stefan Denner, Yannick Kirchhoff, Constantin Ulrich, Maximilian Rouven Rokuss, Saikat Roy, Nico Disch, and Klaus Maier-Hein · 2024
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Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation, 2024
Ryutaro Tanno, David Barrett, Andrew Sellergren, Sumedh Ghaisas, Sumanth Dathathri, Abigail See, Johannes Welbl, Karan Singhal, Shekoofeh Azizi, Tao Tu, et al · 2024
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Scaling monosemanticity: Extracting interpretable features from claude 3, 2024
Sonnet Templeton, Tom Conerly, Jonathan Marcus, Tom Henighan, Joshua Batson, Chris Olah, and Adam Jermyn · 2024
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A is for absorption: Studying feature splitting and absorption in sparse autoencoders, 2024
TomasD, chanind, hrdkbhatnagar, and Joseph Bloom · 2024
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Towards generalist biomedical ai
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Llm-radjudge: Achieving radiologist-level evaluation for x-ray report generation
Zilong Wang, Xufang Luo, Xinyang Jiang, Dongsheng Li, and Lili Qiu · 2024
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Addressing feature suppression in saes
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Hallucination is inevitable: An innate limitation of large language models
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Advancing multimodal medical capabilities of gemini
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Multimodal healthcare ai: identifying and designing clinically relevant vision-language applications for radiology
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Leveraging professional radiologists’ expertise to enhance llms’ evaluation for radiology reports
Qingqing Zhu, Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xin Gao, Ronald M Summers, and Zhiyong Lu · 2024
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