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
Md Mahmudur RahmanAssociate Professor of CS, Morgan State UniversityVerified email at morgan.edu
Les FolioLead Computed Tomography Radiologist and Senior Research PhysicianVerified email at nih.gov
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
Rangachar KasturiDouglas W. Hood Professor Emeritus of Computer Science and Engineering, University of South FloridaVerified email at mail.usf.edu
Alexandros KarargyrisMLCommonsVerified email at mlcommons.org
Matthew S. SimpsonQualcomm, Inc.Verified email at qti.qualcomm.com
Mark SchiffmanNational Cancer InstituteVerified email at mail.nih.gov
Sharon Xiaolei HuangProfessor in College of Information Sciences and Technology at Penn State UniversityVerified email at psu.edu
Richard J MaudeProfessor of Tropical Medicine, University of OxfordVerified email at tropmedres.ac
Mahdieh PoostchiMicrosoftVerified email at microsoft.com
Peng GuoMachine Learning Program Lead, Instructor, Massachusetts General Hospital/Harvard Medical SchoolVerified email at mgh.harvard.edu
Feng YangNational Library of Medicine, NIHVerified email at bjtu.edu.cn
Ghada ZamzmiNational Institute of Health (NIH)Verified email at mail.nih.gov
K. PalaniappanProfessor of Electrical Engineering & Computer Science, University of Missouri-ColumbiaVerified email at missouri.edu

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	755	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	530	2016
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	515	2002
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	511	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	505	2013
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	364	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	346	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	293	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	279	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	233	2018
Overview of the ImageCLEF 2013 medical tasks. AGS De Herrera, J Kalpathy-Cramer, D Demner-Fushman, SK Antani, ... CLEF (Working Notes) 1179, 2013	189	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
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	173	2015
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	169	2011
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	151	2019
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	146	2018
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	143	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	139	2018
Overview of the ImageCLEF 2012 medical image retrieval and classiFIcation tasks. H Müller, AGS de Herrera, J Kalpathy-Cramer, D Demner-Fushman, ... CLEF (online working notes/labs/workshop), 1-16, 2012	139	2012
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	138	2019

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