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With the increasing application of large language models (LLMs) in the medical domain, evaluating these models' performance using benchmark datasets has become crucial.
Ohsumed: An interactive retrieval evaluation and new large test collection for research
William Hersh, Chris Buckley, TJ Leone, and David Hickam · 1994
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Current status of the digital database for screening mammography
Michael Heath, Kevin Bowyer, Daniel Kopans, P Kegelmeyer Jr, Richard Moore, Kyong Chang, and S Munishkumaran · 1998
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The apnea-ecg database
Thomas Penzel, George B Moody, Roger G Mark, Ary L Goldberger, and J Hermann Peter · 2000
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Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals
Ary L Goldberger, Luis AN Amaral, Leon Glass, Jeffrey M Hausdorff, Plamen Ch Ivanov, Roger G Mark, Joseph E Mietus, George B Moody, Chung-Kang Peng, and H Eugene Stanley · 2000
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Pubmed central: The genbank of the published literature, 2001
Richard J Roberts · 2001
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Toward semantics-based answer pinpointing
Eduard Hovy, Laurie Gerber, Ulf Hermjakob, Chin-Yew Lin, and Deepak Ravichandran · 2001
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The impact of the mit-bih arrhythmia database
George B Moody and Roger G Mark · 2001
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Gene expression omnibus: Ncbi gene expression and hybridization array data repository
Ron Edgar, Michael Domrachev, and Alex E Lash · 2002
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Genia corpus—a semantically annotated corpus for bio-textmining
J-D Kim, Tomoko Ohta, Yuka Tateisi, and Jun’ichi Tsujii · 2003
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Introduction to the bio-entity recognition task at jnlpba
Nigel Collier, Tomoko Ohta, Yoshimasa Tsuruoka, Yuka Tateisi, and Jin-Dong Kim · 2004
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International nanotechnology development in 2003: Country, institution, and technology field analysis based on uspto patent database
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The genetic association database
Kevin G Becker, Kathleen C Barnes, Tiffani J Bright, and S Alex Wang · 2004
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The cancer genome atlas, 2006
The Cancer Genome Atlas Research Network · 2006
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2010 i2b2/va challenge on concepts, assertions, and relations in clinical text
"̈Ozlem Uzuner, Brett R South, Shuying Shen, and Scott L DuVall · 2011
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The lung image database consortium (lidc) and image database resource initiative (idri): a completed reference database of lung nodules on ct scans
Samuel G Armato III, Geoffrey McLennan, Luc Bidaut, Michael F McNitt-Gray, Charles R Meyer, Anthony P Reeves, Binsheng Zhao, Denise R Aberle, Claudia I Henschke, Eric A Hoffman, et al · 2011
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Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports
Harsha Gurulingappa, Abdul Mateen Rajput, Angus Roberts, Juliane Fluck, Martin Hofmann-Apitius, and Luca Toldo · 2012
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The eu-adr corpus: annotated drugs, diseases, targets, and their relationships
Erik M Van Mulligen, Annie Fourrier-Reglat, David Gurwitz, Mariam Molokhia, Ainhoa Nieto, Gianluca Trifiro, Jan A Kors, and Laura I Furlong · 2012
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An integrated encyclopedia of dna elements in the human genome
ENCODE Project Consortium et al · 2012
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Parallel data, tools and interfaces in opus
J"̈org Tiedemann · 2012
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The ddi corpus: An annotated corpus with pharmacological substances and drug–drug interactions
María Herrero-Zazo, Isabel Segura-Bedmar, Paloma Martínez, and Thierry Declerck · 2013
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Semeval-2013 task 9: Extraction of drug-drug interactions from biomedical texts (ddiextraction 2013)
Isabel Segura-Bedmar, Paloma Martínez, and María Herrero-Zazo · 2013
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Evaluating temporal relations in clinical text: 2012 i2b2 challenge
Weiyi Sun, Anna Rumshisky, and Ozlem Uzuner · 2013
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Bc4go: a full-text corpus for the biocreative iv go task
Kimberly Van Auken, Mary L Schaeffer, Peter McQuilton, Stanley JF Laulederkind, Donghui Li, Shur-Jen Wang, G Thomas Hayman, Susan Tweedie, Cecilia N Arighi, James Done, et al · 2014
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Ncbi disease corpus: a resource for disease name recognition and concept normalization
Rezarta Islamaj Doğan, Robert Leaman, and Zhiyong Lu · 2014
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Two public chest x-ray datasets for computer-aided screening of pulmonary diseases
Stefan Jaeger, Sema Candemir, Sameer Antani, Yì-Xiáng J Wáng, Pu-Xuan Lu, and George Thoma · 2014
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2d human pose estimation: New benchmark and state of the art analysis
Mykhaylo Andriluka, Leonid Pishchulin, Peter Gehler, and Bernt Schiele · 2014
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Jhu-isi gesture and skill assessment working set (jigsaws): A surgical activity dataset for human motion modeling
Yixin Gao, S Swaroop Vedula, Carol E Reiley, Narges Ahmidi, Balakrishnan Varadarajan, Henry C Lin, Lingling Tao, Luca Zappella, Benjamın Béjar, David D Yuh, et al · 2014
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The chemdner corpus of chemicals and drugs and its annotation principles
Martin Krallinger, Obdulia Rabal, Florian Leitner, Miguel Vazquez, David Salgado, Zhiyong Lu, Robert Leaman, Yanan Lu, Donghong Ji, Daniel M Lowe, et al · 2015
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Cadec: A corpus of adverse drug event annotations
Sarvnaz Karimi, Alejandro Metke-Jimenez, Madonna Kemp, and Chen Wang · 2015
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Data from lidc-idri, 2015
Armato III, Samuel G., Geoffrey McLennan, Luc Bidaut, Michael F. McNitt-Gray, Charles R. Meyer, Anthony P. Reeves, Binsheng Zhao, Denise R. Aberle, Claudia I. Henschke, Eric A. Hoffman, Ella A. Kazerooni, Heber MacMahon, Edwin J.R. Van Beek, David Yankelevitz, Alberto M. Biancardi, Peyton H. Bland, Matthew S. Brown, Roger M. Engelmann, Gary E. Laderach, Daniel Max, Richard C. Pais, David P.Y. Qing, Rachael Y. Roberts, Amanda R. Smith, Adam Starkey, Poonam Batra, Philip Caligiuri, Ali Farooqi, Gregory W. Gladish, C. Matilda Jude, Reginald F. Munden, Iva Petkovska, Leslie E. Quint, Lawrence H. Schwartz, Baskaran Sundaram, Lori E. Dodd, D10Charles Fenimore, David Gur, Nicholas Petrick, John Freymann, Justin Kirby, Brian Hughes, Alessi Vande Casteele, Sangeeta Gupte, Maha Sallam, Michael D. Heath, Michael H. Kuhn, Ekta Dharaiya, Richard Burns, David S. Fryd, Marcos Salganicoff, Vikram Anand, Uri Shreter, Stephen Vastagh, Barbara Y. Croft, and Laurence P. Clarke · 2015
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Enhanced performance of brain tumor classification via tumor region augmentation and partition
Jun Cheng, Wei Huang, Shuangliang Cao, Ru Yang, Wei Yang, Zhaoqiang Yun, Zhijian Wang, and Qianjin Feng · 2015
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Automated polyp detection in colonoscopy videos using shape and context information
Nima Tajbakhsh, Suryakanth R Gurudu, and Jianming Liang · 2015
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Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians
Jorge Bernal, F Javier Sánchez, Gloria Fernández-Esparrach, Debora Gil, Cristina Rodríguez, and Fernando Vilariño · 2015
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The human protein atlas: A spatial map of the human proteome
M. Uhlén, L. Fagerberg, A. Mardinoglu, et al · 2015
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Data from NSCLC-Radiomics-Genomics, 2015
Hugo J W L Aerts, Emmanuel Rios Velazquez, Ralph T H Leijenaar, Chintan Parmar, Patrick Grossmann, Sara Carvalho, Johan Bussink, René Monshouwer, Benjamin Haibe-Kains, Derek Rietveld, Frank Hoebers, Michelle M Rietbergen, C René Leemans, Andre Dekker, John Quackenbush, Robert J Gillies, and Philippe Lambin · 2015
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Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/uthealth corpus
Amber Stubbs and "̈Ozlem Uzuner · 2015
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Overview of the imageclef 2015 medical classification task
Henning M"̈uller, Alba García Seco de Herrera, and Stefano Bromuri · 2015
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Mimic-iii, a freely accessible critical care database
Alistair EW Johnson, Tom J Pollard, Lu Shen, Li-wei H Lehman, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G Mark · 2016
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Squad: 100,000+ questions for machine comprehension of text
P Rajpurkar · 2016
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Biocreative v cdr task corpus: a resource for chemical disease relation extraction
Jiao Li, Yueping Sun, Robin J Johnson, Daniela Sciaky, Chih-Hsuan Wei, Robert Leaman, Allan Peter Davis, Carolyn J Mattingly, Thomas C Wiegers, and Zhiyong Lu · 2016
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Automatic semantic classification of scientific literature according to the hallmarks of cancer
Simon Baker, Ilona Silins, Yufan Guo, Imran Ali, Johan H"̈ogberg, Ulla Stenius, and Anna Korhonen · 2016
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Chemical named entity recognition in patents by domain knowledge and unsupervised feature learning
Yaoyun Zhang, Jun Xu, Hui Chen, Jingqi Wang, Yonghui Wu, Manu Prakasam, and Hua Xu · 2016
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A full-text learning to rank dataset for medical information retrieval
Vera Boteva, Demian Gholipour, Artem Sokolov, and Stefan Riezler · 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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Overview of the medical tasks in imageclef 2016
Alba G Seco De Herrera, Stefano Bromuri, Roger Schaer, and Henning M"̈uller · 2016
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Multi-center breast dce-mri data and segmentations from patients in the i-spy 1/acrin 6657 trials, 2016
David Newitt and Nola Hylton · 2016
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The cancer genome atlas breast invasive carcinoma collection (tcga-brca)(version 3)[data set] the cancer imaging archive
W Lingle, BJ Erickson, ML Zuley, R Jarosz, E Bonaccio, J Filippini, JM Net, L Levi, EA Morris, GG Figler, et al · 2016
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The cancer genome atlas lung adenocarcinoma collection (tcga-luad), 2016
Brad Albertina, Mark Watson, Chandra Holback, Rose Jarosz, Shanah Kirk, Yueh Lee, Kimberly Rieger-Christ, and John Lemmerman · 2016
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The cancer genome atlas lung squamous cell carcinoma collection (tcga-lusc), 2016
Shanahv Kirk, Yueh Lee, Prasanna Kumar, Joe Filippini, Brad Albertina, Mark Watson, Kimberly Rieger-Christ, and John Lemmerman · 2016
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Endonet: a deep architecture for recognition tasks on laparoscopic videos
Andru P Twinanda, Sherif Shehata, Didier Mutter, Jacques Marescaux, Michel De Mathelin, and Nicolas Padoy · 2016
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Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks
David R Kelley, Jasper Snoek, and John L Rinn · 2016
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Kegg as a reference resource for gene and protein annotation
Minoru Kanehisa, Yoko Sato, Masayuki Kawashima, Miho Furumichi, and Mao Tanabe · 2016
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Chinese medical question answer matching using end-to-end character-level multi-scale cnns
Sheng Zhang, Xin Zhang, Hui Wang, Jiajun Cheng, Pei Li, and Zhaoyun Ding · 2017
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Overview of the biocreative vi chemical-protein interaction track
Martin Krallinger, Obdulia Rabal, Saber A Akhondi, Martın Pérez Pérez, Jesús Santamaría, Gael Pérez Rodríguez, Georgios Tsatsaronis, Ander Intxaurrondo, José Antonio López, Umesh Nandal, et al · 2017
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Biosses: a semantic sentence similarity estimation system for the biomedical domain
Gizem Soğancıoğlu, Hakime "̈Ozt"̈urk, and Arzucan "̈Ozg"̈ur · 2017
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Ke Yan, Xiaosong Wang, Le Lu, and Ronald M Summers · 2017
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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
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Mura: Large dataset for abnormality detection in musculoskeletal radiographs
Pranav Rajpurkar, Jeremy Irvin, Aarti Bagul, Daisy Ding, Tony Duan, Hershel Mehta, Brandon Yang, Kaylie Zhu, Dillon Laird, Robyn L Ball, et al · 2017
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A curated mammography data set for use in computer-aided detection and diagnosis research
Rebecca Sawyer Lee, Francisco Gimenez, Assaf Hoogi, Kanae Kawai Miyake, Mia Gorovoy, and Daniel L Rubin · 2017
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Semi-automated detection of anterior cruciate ligament injury from mri
Ivan Štajduhar, Mihaela Mamula, Damir Miletić, and Goezde Uenal · 2017
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The ‘one in a million’study: creating a database of uk primary care consultations
Marcus Jepson, Chris Salisbury, Matthew J Ridd, Chris Metcalfe, Ludivine Garside, and Rebecca K Barnes · 2017
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The eicu collaborative research database, a freely available multi-center database for critical care research
Tom J Pollard, Alistair EW Johnson, Jesse D Raffa, Leo A Celi, Roger G Mark, and Omar Badawi · 2018
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emrqa: A large corpus for question answering on electronic medical records
Anusri Pampari, Preethi Raghavan, Jennifer Liang, and Jian Peng · 2018
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A corpus with multi-level annotations of patients, interventions and outcomes to support language processing for medical literature
Benjamin Nye, Junyi Jessy Li, Roma Patel, Yinfei Yang, Iain J Marshall, Ani Nenkova, and Byron C Wallace · 2018
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Clicr: a dataset of clinical case reports for machine reading comprehension
Simon Šuster and Walter Daelemans · 2018
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Lessons from natural language inference in the clinical domain
Alexey Romanov and Chaitanya Shivade · 2018
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Deep-learning-assisted diagnosis for knee magnetic resonance imaging: development and retrospective validation of mrnet
Nicholas Bien, Pranav Rajpurkar, Robyn L Ball, Jeremy Irvin, Allison Park, Erik Jones, Michael Bereket, Bhavik N Patel, Kristen W Yeom, Katie Shpanskaya, et al · 2018
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Radiology objects in context (roco): a multimodal image dataset
Obioma Pelka, Sven Koitka, Johannes R"̈uckert, Felix Nensa, and Christoph M Friedrich · 2018
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A dataset of clinically generated visual questions and answers about radiology images
Jason J Lau, Soumya Gayen, Asma Ben Abacha, and Dina Demner-Fushman · 2018
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A radiogenomic dataset of non-small cell lung cancer
Shaimaa Bakr, Olivier Gevaert, Sebastian Echegaray, Kelsey Ayers, Mu Zhou, Majid Shafiq, Hong Zheng, Jalen Anthony Benson, Weiruo Zhang, Ann NC Leung, et al · 2018
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Mvor: A multi-view rgb-d operating room dataset for 2d and 3d human pose estimation
Vinkle Srivastav, Thibaut Issenhuth, Abdolrahim Kadkhodamohammadi, Michel de Mathelin, Afshin Gangi, and Nicolas Padoy · 2018
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Posetrack: A benchmark for human pose estimation and tracking
Mykhaylo Andriluka, Umar Iqbal, Eldar Insafutdinov, Leonid Pishchulin, Anton Milan, Juergen Gall, and Bernt Schiele · 2018
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Towards empathetic open-domain conversation models: A new benchmark and dataset
Hannah Rashkin · 2018
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Extracting chemical–protein relations with ensembles of svm and deep learning models
Yifan Peng, Anthony Rios, Ramakanth Kavuluru, and Zhiyong Lu · 2018
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Multi-scale attentive interaction networks for chinese medical question answer selection
Sheng Zhang, Xin Zhang, Hui Wang, Lixiang Guo, and Shanshan Liu · 2018
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Bridging the gap between consumers’ medication questions and trusted answers
Asma Ben Abacha, Yassine Mrabet, Mark Sharp, Travis R Goodwin, Sonya E Shooshan, and Dina Demner-Fushman · 2019
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A question-entailment approach to question answering
Asma Ben Abacha and Dina Demner-Fushman · 2019
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Pubmedqa: A dataset for biomedical research question answering
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W Cohen, and Xinghua Lu · 2019
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S2orc: The semantic scholar open research corpus
Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, and Dan S Weld · 2019
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Renet: A deep learning approach for extracting gene-disease associations from literature
Ye Wu, Ruibang Luo, Henry CM Leung, Hing-Fung Ting, and Tak-Wah Lam · 2019
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Overview of the mediqa 2019 shared task on textual inference, question entailment and question answering
Asma Ben Abacha, Chaitanya Shivade, and Dina Demner-Fushman · 2019
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On the summarization of consumer health questions
Asma Ben Abacha and Dina Demner-Fushman · 2019
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Cohort selection for clinical trials: n2c2 2018 shared task track 1
Amber Stubbs, Michele Filannino, Ergin Soysal, Samuel Henry, and "̈Ozlem Uzuner · 2019
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A silver standard corpus of human phenotype-gene relations
Diana Sousa, André Lamúrias, and Francisco M Couto · 2019
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Yifan Peng, Shankai Yan, and Zhiyong Lu · 2019
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Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, et al · 2019
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Breast microcalcification diagnosis using deep convolutional neural network from digital mammograms
Hongmin Cai, Qinjian Huang, Wentao Rong, Yan Song, Jiao Li, Jinhua Wang, Jiazhou Chen, and Li Li · 2019
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Augmenting the national institutes of health chest radiograph dataset with expert annotations of possible pneumonia
George Shih, Carol C Wu, Safwan S Halabi, Marc D Kohli, Luciano M Prevedello, Tessa S Cook, Arjun Sharma, Judith K Amorosa, Veronica Arteaga, Maya Galperin-Aizenberg, et al · 2019
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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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A survey on biomedical image captioning
John Pavlopoulos, Vasiliki Kougia, and Ion Androutsopoulos · 2019
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Visual dialog for radiology: Data curation and firststeps
Olga Kovaleva, Chaitanya Shivade, Satyananda Kashyap, Karina Kanjaria, Adam Coy, Deddeh Ballah, Yufan Guo, Joy T Wu, Alexandros Karargyris, David Beymer, et al · 2019
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Vqa-med: Overview of the medical visual question answering task at imageclef 2019
Asma Ben Abacha, Sadid A Hasan, Vivek V Datla, Dina Demner-Fushman, and Henning M"̈uller · 2019
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Oasis-3: longitudinal neuroimaging, clinical, and cognitive dataset for normal aging and alzheimer disease
Pamela J LaMontagne, Tammie LS Benzinger, John C Morris, Sarah Keefe, Russ Hornbeck, Chengjie Xiong, Elizabeth Grant, Jason Hassenstab, Krista Moulder, Andrei G Vlassenko, et al · 2019
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{ \{ CT-GAN } \} : Malicious tampering of 3d medical imagery using deep learning
Yisroel Mirsky, Tom Mahler, Ilan Shelef, and Yuval Elovici · 2019
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Lndb: a lung nodule database on computed tomography
João Pedrosa, Guilherme Aresta, Carlos Ferreira, Márcio Rodrigues, Patrícia Leitão, André Silva Carvalho, João Rebelo, Eduardo Negrão, Isabel Ramos, António Cunha, et al · 2019
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An open access database for the evaluation of respiratory sound classification algorithms
Bruno M Rocha, Dimitris Filos, Luís Mendes, Gorkem Serbes, Sezer Ulukaya, Yasemin P Kahya, Nikša Jakovljevic, Tatjana L Turukalo, Ioannis M Vogiatzis, Eleni Perantoni, et al · 2019
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Icentia11k: An unsupervised representation learning dataset for arrhythmia subtype discovery
Shawn Tan, Guillaume Androz, Ahmad Chamseddine, Pierre Fecteau, Aaron Courville, Yoshua Bengio, and Joseph Paul Cohen · 2019
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Protein data bank: the single global archive for 3d macromolecular structure data
Protein Data Bank · 2019
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Knowledge-aware assessment of severity of suicide risk for early intervention
Manas Gaur, Amanuel Alambo, Joy Prakash Sain, Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit Sheth, Randy Welton, and Jyotishman Pathak · 2019
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Dreaddit: A reddit dataset for stress analysis in social media
Elsbeth Turcan and Kathleen McKeown · 2019
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Pic, a paediatric-specific intensive care database
Xian Zeng, Gang Yu, Yang Lu, Linhua Tan, Xiujing Wu, Shanshan Shi, Huilong Duan, Qiang Shu, and Haomin Li · 2020
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Early prediction of circulatory failure in the intensive care unit using machine learning
Stephanie L Hyland, Martin Faltys, Matthias H"̈user, Xinrui Lyu, Thomas Gumbsch, Cristóbal Esteban, Christian Bock, Max Horn, Michael Moor, Bastian Rieck, et al · 2020
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Meddialog: Two large-scale medical dialogue datasets
Xuehai He, Shu Chen, Zeqian Ju, Xiangyu Dong, Hongchao Fang, Sicheng Wang, Yue Yang, Jiaqi Zeng, Ruisi Zhang, Ruoyu Zhang, et al · 2020
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AutoMeTS: The autocomplete for medical text simplification
Hoang Van, David Kauchak, and Gondy Leroy · 2020
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Medsts: a resource for clinical semantic textual similarity
Yanshan Wang, Naveed Afzal, Sunyang Fu, Liwei Wang, Feichen Shen, Majid Rastegar-Mojarad, and Hongfang Liu · 2020
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Wnut-2020 task 2: identification of informative covid-19 english tweets
Dat Quoc Nguyen, Thanh Vu, Afshin Rahimi, Mai Hoang Dao, Linh The Nguyen, and Long Doan · 2020
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The pile: An 800gb dataset of diverse text for language modeling
Leo Gao, Stella Biderman, Sid Black, Laurence Golding, Travis Hoppe, Charles Foster, Jason Phang, Horace He, Anish Thite, Noa Nabeshima, et al · 2020
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Pad-ufes-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones
Andre GC Pacheco, Gustavo R Lima, Amanda S Salomao, Breno Krohling, Igor P Biral, Gabriel G de Angelo, Fábio CR Alves Jr, José GM Esgario, Alana C Simora, Pedro BC Castro, et al · 2020
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Dataset of breast ultrasound images
Walid Al-Dhabyani, Mohammed Gomaa, Hussien Khaled, and Aly Fahmy · 2020
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Chestx-det10: chest x-ray dataset on detection of thoracic abnormalities
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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Large-scale long-tailed disease diagnosis on radiology images
Qiaoyu Zheng, Weike Zhao, Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, and Weidi Xie · 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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Medmnist v2-a large-scale lightweight benchmark for 2d and 3d biomedical image classification
Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Bilian Ke, Hanspeter Pfister, and Bingbing Ni · 2023
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Towards automatic satellite images captions generation using large language models
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Jingyu Liu, Jie Lian, and Yizhou Yu · 2020
Cited alongside, same era.
Can ai help in screening viral and covid-19 pneumonia?
Muhammad EH Chowdhury, Tawsifur Rahman, Amith Khandakar, Rashid Mazhar, Muhammad Abdul Kadir, Zaid Bin Mahbub, Khandakar Reajul Islam, Muhammad Salman Khan, Atif Iqbal, Nasser Al Emadi, et al · 2020
Cited alongside, same era.
Padchest: A large chest x-ray image dataset with multi-label annotated reports
Aurelia Bustos, Antonio Pertusa, Jose-Maria Salinas, and Maria De La Iglesia-Vaya · 2020
Cited alongside, same era.
Crowdsourcing pneumothorax annotations using machine learning annotations on the nih chest x-ray dataset
Ross W Filice, Anouk Stein, Carol C Wu, Veronica A Arteaga, Stephen Borstelmann, Ramya Gaddikeri, Maya Galperin-Aizenberg, Ritu R Gill, Myrna C Godoy, Stephen B Hobbs, et al · 2020
Cited alongside, same era.
Pathvqa: 30000+ questions for medical visual question answering
Xuehai He, Yichen Zhang, Luntian Mou, Eric Xing, and Pengtao Xie · 2020
Cited alongside, same era.
Clinically applicable ai system for accurate diagnosis, quantitative measurements, and prognosis of covid-19 pneumonia using computed tomography
Kang Zhang, Xiaohong Liu, Jun Shen, Zhihuan Li, Ye Sang, Xingwang Wu, Yunfei Zha, Wenhua Liang, Chengdi Wang, Ke Wang, et al · 2020
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Intracranial hemorrhage segmentation using a deep convolutional model
Murtadha D Hssayeni, Muayad S Croock, Aymen D Salman, Hassan Falah Al-Khafaji, Zakaria A Yahya, and Behnaz Ghoraani · 2020
Cited alongside, same era.
Mosmeddata: Chest ct scans with covid-19 related findings dataset
S.P. Morozov, A.E. Andreychenko, N.A. Pavlov, A.V. Vladzymyrskyy, N.V. Ledikhova, V.A. Gombolevskiy, I.A. Blokhin, P.B. Gelezhe, A.V. Gonchar, and V.Yu. Chernina · 2020
Cited alongside, same era.
Yingxu He and Qiqi Sun · 2023
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Colonoscopy 3d video dataset with paired depth from 2d-3d registration
Taylor L Bobrow, Mayank Golhar, Rohan Vijayan, Venkata S Akshintala, Juan R Garcia, and Nicholas J Durr · 2023
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Mimic-iv-ecg: diagnostic electrocardiogram matched subset (version 1.0)
B Gow, T Pollard, LA Nathanson, A Johnson, B Moody, C Fernandes, N Greenbaum, JW Waks, P Eslami, T Carbonati, et al · 2023
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