Sameer Antani

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Dina Demner-FushmanNational Library of MedicineVerified email at mail.nih.gov
Stefan JaegerNational Institutes of HealthVerified email at nih.gov
Sivaramakrishnan RajaramanResearch Scientist, National Library of MedicineVerified email at nih.gov
Sema CandemirAssistant Professor, Eskisehir Technical UniversityVerified email at eskisehir.edu.tr
Les FolioLead Computed Tomography Radiologist and Senior Research PhysicianVerified email at nih.gov
Md Mahmudur RahmanAssociate Professor of CS, Morgan State UniversityVerified email at morgan.edu
Joe StanleyMissouri University of Science and TechnologyVerified email at mst.edu
KC SantoshDept of Computer Science (Chair) and Applied AI Lab (Founder/Director), University of South DakotaVerified email at usd.edu
Dah-Jye (D.J.) LeeProfessor of Electrical and Computer Engineering, Brigham Young UniversityVerified email at byu.edu
Alexandros KarargyrisMLCommonsVerified email at mlcommons.org
Mark SchiffmanNational Cancer InstituteVerified email at mail.nih.gov
Matthew S. SimpsonQualcomm, Inc.Verified email at qti.qualcomm.com
Rangachar KasturiDouglas W. Hood Professor Emeritus of Computer Science and Engineering, University of South FloridaVerified email at mail.usf.edu
Feng YangNational Library of Medicine, NIHVerified email at bjtu.edu.cn
Richard J MaudeProfessor of Tropical Medicine, University of OxfordVerified email at tropmedres.ac
Sharon Xiaolei HuangProfessor in College of Information Sciences and Technology at Penn State UniversityVerified email at psu.edu
Mahdieh PoostchiMicrosoftVerified email at microsoft.com
Peng GuoMachine Learning Program Lead, Instructor, Massachusetts General Hospital/Harvard Medical SchoolVerified email at mgh.harvard.edu
K. PalaniappanProfessor of Electrical Engineering & Computer Science, University of Missouri-ColumbiaVerified email at missouri.edu
Henning MüllerProfessor in computer science at HES-SO & in radiology at the University of GenevaVerified email at hevs.ch

Sameer Antani

National Library of Medicine, National Institutes of Health

Verified email at nih.gov - Homepage

Medical Imaging Machine Learning Artificial Intelligence Image Informatics Visual Information Retrieval


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Two public chest X-ray datasets for computer-aided screening of pulmonary diseases S Jaeger, S Candemir, S Antani, YXJ Wáng, PX Lu, G Thoma Quantitative imaging in medicine and surgery 4 (6), 475, 2014	830	2014
Preparing a collection of radiology examinations for distribution and retrieval D Demner-Fushman, MD Kohli, MB Rosenman, SE Shooshan, ... Journal of the American Medical Informatics Association 23 (2), 304-310, 2016	598	2016
Automatic tuberculosis screening using chest radiographs S Jaeger, A Karargyris, S Candemir, L Folio, J Siegelman, F Callaghan, ... IEEE transactions on medical imaging 33 (2), 233-245, 2013	545	2013
Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration S Candemir, S Jaeger, K Palaniappan, JP Musco, RK Singh, Z Xue, ... IEEE transactions on medical imaging 33 (2), 577-590, 2013	537	2013
A survey on the use of pattern recognition methods for abstraction, indexing and retrieval of images and video S Antani, R Kasturi, R Jain Pattern recognition 35 (4), 945-965, 2002	513	2002
Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images S Rajaraman, SK Antani, M Poostchi, K Silamut, MA Hossain, RJ Maude, ... PeerJ 6, e4568, 2018	407	2018
Histology image analysis for carcinoma detection and grading L He, LR Long, S Antani, GR Thoma Computer methods and programs in biomedicine 107 (3), 538-556, 2012	364	2012
Iteratively pruned deep learning ensembles for COVID-19 detection in chest X-rays S Rajaraman, J Siegelman, PO Alderson, LS Folio, LR Folio, SK Antani Ieee Access 8, 115041-115050, 2020	319	2020
An observational study of deep learning and automated evaluation of cervical images for cancer screening L Hu, D Bell, S Antani, Z Xue, K Yu, MP Horning, N Gachuhi, B Wilson, ... JNCI: Journal of the National Cancer Institute 111 (9), 923-932, 2019	304	2019
Visualization and interpretation of convolutional neural network predictions in detecting pneumonia in pediatric chest radiographs S Rajaraman, S Candemir, I Kim, G Thoma, S Antani Applied Sciences 8 (10), 1715, 2018	262	2018
Overview of the ImageCLEF 2013 medical tasks. AGS De Herrera, J Kalpathy-Cramer, D Demner-Fushman, SK Antani, ... CLEF (Working Notes) 1179, 2013	193	2013
Ontology of gaps in content-based image retrieval TM Deserno, S Antani, R Long Journal of digital imaging 22, 202-215, 2009	175	2009
A learning-based similarity fusion and filtering approach for biomedical image retrieval using SVM classification and relevance feedback MM Rahman, SK Antani, GR Thoma IEEE Transactions on information technology in biomedicine 15 (4), 640-646, 2011	172	2011
Evaluating performance of biomedical image retrieval systems—an overview of the medical image retrieval task at ImageCLEF 2004–2013 J Kalpathy-Cramer, AGS de Herrera, D Demner-Fushman, S Antani, ... Computerized Medical Imaging and Graphics 39, 55-61, 2015	166	2015
Multimodal recurrent model with attention for automated radiology report generation Y Xue, T Xu, L Rodney Long, Z Xue, S Antani, GR Thoma, X Huang Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018	162	2018
How far have we come? Artificial intelligence for chest radiograph interpretation K Kallianos, J Mongan, S Antani, T Henry, A Taylor, J Abuya, M Kohli Clinical radiology 74 (5), 338-345, 2019	159	2019
Deep learning for smartphone-based malaria parasite detection in thick blood smears F Yang, M Poostchi, H Yu, Z Zhou, K Silamut, J Yu, RJ Maude, S Jaeger, ... IEEE journal of biomedical and health informatics 24 (5), 1427-1438, 2019	151	2019
Automatic screening for tuberculosis in chest radiographs: a survey S Jaeger, A Karargyris, S Candemir, J Siegelman, L Folio, S Antani, ... Quantitative imaging in medicine and surgery 3 (2), 89, 2013	146	2013
Feature selection for automatic tuberculosis screening in frontal chest radiographs S Vajda, A Karargyris, S Jaeger, KC Santosh, S Candemir, Z Xue, ... Journal of medical systems 42, 1-11, 2018	145	2018
Automated chest X-ray screening: Can lung region symmetry help detect pulmonary abnormalities? KC Santosh, S Antani IEEE transactions on medical imaging 37 (5), 1168-1177, 2017	145	2017

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