Sameer Antani

15.4k citations

331 papers · 9.7k indexed · 6 hit papers · h-index 45

Impact in

Health Informatics top 0.1%
Computer Vision and Pattern Recognition top 0.1%
- Image Retrieval and Classification Techniques
- Digital Imaging for Blood Diseases
- Advanced Image and Video Retrieval Techniques

Papers in ⓘ

Computer Vision and Pattern Recognition 191
- Image Retrieval and Classification Techniques 128
- Advanced Image and Video Retrieval Techniques 56
- Medical Image Segmentation Techniques 39
Artificial Intelligence 151
- AI in cancer detection 126

Co-authors: George R. Thoma (147 shared papers)L. Rodney Long (127 shared papers)Sivaramakrishnan Rajaraman (52 shared papers)Stefan Jaeger (36 shared papers)Sema Candemir (24 shared papers)Zhiyun Xue (89 shared papers)Dina Demner‐Fushman (48 shared papers)Clement J. McDonald (4 shared papers)
Journals: Computerized Medical Imaging and Graphics (13 papers)IEEE Transactions on Medical Imaging (5 papers)Journal of Pathology Informatics (5 papers)IEEE Access (4 papers)International Journal of Computer Assisted Radiology and Surgery (4 papers)
Partner nations: United States Thailand United Kingdom

In The Last Decade

Sameer Antani

319 papers receiving 9.2k citations

Hit Papers

6 papers align trajectories log scale

Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays 2020 · 244 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2020 PubMed Central
2018 PeerJ
2015 Journal of the American Medical Informatics Association
2014 PubMed
2013 IEEE Transactions on Medical Imaging
2013 IEEE Transactions on Medical Imaging

Peers

Countries citing papers authored by Sameer Antani

Since Specialization

Citations

This map shows the geographic impact of Sameer Antani's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sameer Antani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameer Antani more than expected).

Fields of papers citing papers by Sameer Antani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sameer Antani. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sameer Antani. The network helps show where Sameer Antani may publish in the future.

Co-authors

The 25 scholars most cited alongside Sameer Antani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sameer Antani Line = papers co-authored together Sameer Antani links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 331 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Two public chest X-ray datasets for computer-aided screening of pulmonary diseases. PubMed ·Stefan Jaeger, Sema Candemir, Sameer Antani, Yì Wáng, Pu-Xuan Lu, George R. Thoma Hit paper breakdown →	2014	611
2	Preparing a collection of radiology examinations for distribution and retrieval Journal of the American Medical Informatics Association ·Dina Demner‐Fushman, Marc Kohli, Marc B. Rosenman, Sonya E. Shooshan, Laritza Rodriguez, Sameer Antani, George R. Thoma, Clement J. McDonald Hit paper breakdown →	2015	576
3	Automatic Tuberculosis Screening Using Chest Radiographs IEEE Transactions on Medical Imaging ·Stefan Jaeger, Alexandros Karargyris, Sema Candemir, Les Folio, Jenifer Siegelman, Fiona Callaghan, Zhiyun Xue, Kannappan Palaniappan, Rahul Kumar Singh, Sameer Antani, Grid Thoma, Yì Wáng, P Lu, Clement J. McDonald Hit paper breakdown →	2013	434
4	Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration IEEE Transactions on Medical Imaging ·Sema Candemir, Stefan Jaeger, Kannappan Palaniappan, Jonathan P. Musco, Rahul Kumar Singh, Zhiyun Xue, Alexandros Karargyris, Sameer Antani, George R. Thoma, Clement J. McDonald Hit paper breakdown →	2013	415
5	Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images PeerJ ·Sivaramakrishnan Rajaraman, Sameer Antani, Mahdieh Poostchi, Kamolrat Silamut, Md. Aiub Hossain, Richard J. Maude, Stefan Jaeger, George R. Thoma Hit paper breakdown →	2018	329
6	Histology image analysis for carcinoma detection and grading Computer Methods and Programs in Biomedicine ·Lei He, L. Rodney Long, Sameer Antani, George R. Thoma	2012	270
7	An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening JNCI Journal of the National Cancer Institute ·Liming Hu, D. A. Bell, Sameer Antani, Zhiyun Xue, Kai Yu, Matthew P. Horning, Noni Gachuhi, Benjamin Wilson, Mayoore S. Jaiswal, Brian Befano, L. Rodney Long, Rolando Herrero, Mark H. Einstein, Robert D. Burk, Maria Demarco, Julia C. Gage, Ana Cecilia Rodríguez, Nicolas Wentzensen, Mark Schiffman	2018	258
8	Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays PubMed Central ·Sivaramakrishnan Rajaraman, Jenifer Siegelman, Philip O. Alderson, Lucas S. Folio, Les Folio, Sameer Antani Hit paper breakdown →	2020	244
9	A survey on the use of pattern recognition methods for abstraction, indexing and retrieval of images and video Pattern Recognition ·Sameer Antani, Rangachar Kasturi, Ramesh Jain	2002	213
10	Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs Applied Sciences ·Sivaramakrishnan Rajaraman, Sema Candemir, Incheol Kim, George R. Thoma, Sameer Antani	2018	210
11	Deep Learning for Smartphone-Based Malaria Parasite Detection in Thick Blood Smears IEEE Journal of Biomedical and Health Informatics ·Feng Yang, Mahdieh Poostchi, Hang Yu, Zhou Zhou, Kamolrat Silamut, Jian Yu, Richard J. Maude, Stefan Jaeger, Sameer Antani	2019	157
12	Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images PeerJ ·Sivaramakrishnan Rajaraman, Stefan Jaeger, Sameer Antani	2019	133
13	How far have we come? Artificial intelligence for chest radiograph interpretation Clinical Radiology ·Kimberly Kallianos, John Mongan, Sameer Antani, Travis S. Henry, Andrew Taylor, J. Abuya, Marc Kohli	2019	117
14	Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs Journal of Medical Systems ·Szilárd Vajda, Alexandros Karargyris, Stefan Jaeger, KC Santosh, Sema Candemir, Zhiyun Xue, Sameer Antani, George R. Thoma	2018	115
15	A Learning-Based Similarity Fusion and Filtering Approach for Biomedical Image Retrieval Using SVM Classification and Relevance Feedback IEEE Transactions on Information Technology in Biomedicine ·Md Mahmudur Rahman, Sameer Antani, Grid Thoma	2011	111
16	A review on lung boundary detection in chest X-rays International Journal of Computer Assisted Radiology and Surgery ·Sema Candemir, Sameer Antani	2019	109
17	Automated Chest X-Ray Screening: Can Lung Region Symmetry Help Detect Pulmonary Abnormalities? IEEE Transactions on Medical Imaging ·KC Santosh, Sameer Antani	2017	106
18	Modality-Specific Deep Learning Model Ensembles Toward Improving TB Detection in Chest Radiographs IEEE Access ·Sivaramakrishnan Rajaraman, Sameer Antani	2020	96
19	Design and Development of a Multimodal Biomedical Information Retrieval System Journal of Computing Science and Engineering ·Dina Demner‐Fushman, Sameer Antani, Matthew Simpson, George R. Thoma	2012	92
20	Selective synthetic augmentation with HistoGAN for improved histopathology image classification Medical Image Analysis ·Yuan Xue, Jiarong Ye, Qianying Zhou, L. Rodney Long, Sameer Antani, Zhiyun Xue, Carl Cornwell, Richard J. Zaino, Keith C. Cheng, Xiaolei Huang	2020	88

About Sameer Antani

Sameer Antani is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Health Informatics, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 331 papers that have together received 9.7k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (128 papers), AI in cancer detection (126 papers), Biomedical Text Mining and Ontologies (58 papers), COVID-19 diagnosis using AI (57 papers), Advanced Image and Video Retrieval Techniques (56 papers), Radiomics and Machine Learning in Medical Imaging (45 papers), Medical Image Segmentation Techniques (39 papers) and Cervical Cancer and HPV Research (37 papers). The work is most often cited by research in Health Informatics (467 citations), Computer Vision and Pattern Recognition (4.3k citations), Radiology, Nuclear Medicine and Imaging (4.5k citations), Artificial Intelligence (4.1k citations) and Media Technology (742 citations). Sameer Antani has collaborated with scholars based in United States, Thailand and United Kingdom. Frequent co-authors include George R. Thoma, L. Rodney Long, Sivaramakrishnan Rajaraman, Stefan Jaeger, Sema Candemir, Zhiyun Xue, Dina Demner‐Fushman, Clement J. McDonald, Yì Wáng and KC Santosh. Their work appears in journals such as Computerized Medical Imaging and Graphics, IEEE Transactions on Medical Imaging, Journal of Pathology Informatics, IEEE Access and International Journal of Computer Assisted Radiology and Surgery.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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