Jayaram K. Udupa

18.3k total citations · 1 hit paper
428 papers, 12.1k citations indexed

About

Jayaram K. Udupa is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Jayaram K. Udupa has authored 428 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 238 papers in Computer Vision and Pattern Recognition, 145 papers in Radiology, Nuclear Medicine and Imaging and 91 papers in Biomedical Engineering. Recurrent topics in Jayaram K. Udupa's work include Medical Image Segmentation Techniques (198 papers), Medical Imaging Techniques and Applications (67 papers) and Radiomics and Machine Learning in Medical Imaging (60 papers). Jayaram K. Udupa is often cited by papers focused on Medical Image Segmentation Techniques (198 papers), Medical Imaging Techniques and Applications (67 papers) and Radiomics and Machine Learning in Medical Imaging (60 papers). Jayaram K. Udupa collaborates with scholars based in United States, China and Brazil. Jayaram K. Udupa's co-authors include Punam K. Saha, Supun Samarasekera, Dewey Odhner, Gábor T. Herman, Alexandre X. Falcão, George J. Grevera, Robert I. Grossman, Ying Zhuge, Drew A. Torigian and Dennis L. Kolson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jayaram K. Udupa

407 papers receiving 11.6k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Fuzzy Connectedness and Object Definition: Theory, Algorithms, and Applications in Image Segmentation

1996 596 citations Jayaram K. Udupa et al. profile →

Peers

Countries citing papers authored by Jayaram K. Udupa

Since Specialization

Citations

This map shows the geographic impact of Jayaram K. Udupa'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 Jayaram K. Udupa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayaram K. Udupa more than expected).

Fields of papers citing papers by Jayaram K. Udupa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jayaram K. Udupa. 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 Jayaram K. Udupa. The network helps show where Jayaram K. Udupa may publish in the future.

Co-authorship network of co-authors of Jayaram K. Udupa

This figure shows the co-authorship network connecting the top 25 collaborators of Jayaram K. Udupa. A scholar is included among the top collaborators of Jayaram K. Udupa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jayaram K. Udupa. Jayaram K. Udupa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	VSmTrans: A hybrid paradigm integrating self-attention and convolution for 3D medical image segmentation 2024 ·Medical Image Analysis ·(unknown), (unknown), Drew A. Torigian, (unknown), Jayaram K. Udupa	11
2	Epicardial Adipose Tissue Is an Independent Risk Factor for Mortality in Pulmonary Arterial Hypertension 2024 ·(unknown), (unknown), Drew A. Torigian, Yubing Tong, Jason S. Fritz, Jasleen Minhas, Jeremy A. Mazurek, Amanda M. Smith, Harold I. Palevsky, Steven C. Pugliese, Jayaram K. Udupa, (unknown), Nadine Al‐Naamani	0
3	GA-Net: A geographical attention neural network for the segmentation of body torso tissue composition 2023 ·Medical Image Analysis ·Jian Dai, Tiange Liu, Drew A. Torigian, Yubing Tong, Shiwei Han, Pengju Nie, Jing Zhang, Ran Li, Fei Xie, Jayaram K. Udupa	3
4	Optimal computed tomography-based biomarkers for prediction of incisional hernia formation 2023 ·Hernia ·Ankoor A. Talwar, Ankit A. Desai, (unknown), Robyn B. Broach, Jesse Y. Hsu, (unknown), Jayaram K. Udupa, Yubing Tong, Drew A. Torigian, John P. Fischer	4
5	MRI-Based Radiomics Analysis of Levator Ani Muscle for Predicting Urine Incontinence after Robot-Assisted Radical Prostatectomy 2023 ·Diagnostics ·Mohammed Shahait, Rubén Usamentiaga, Yubing Tong, (unknown), David I. Lee, Jayaram K. Udupa, Drew A. Torigian	3
6	Mendability Index: a new metric for estimating the effort required for manually editing auto-segmentations of objects of interest 2023 ·PubMed Central ·(unknown), Jayaram K. Udupa, (unknown), Drew A. Torigian	1
7	Assessment of Regional Functional Effects of Surgical Treatment in Thoracic Insufficiency Syndrome via Dynamic Magnetic Resonance Imaging 2022 ·Journal of Bone and Joint Surgery ·Yubing Tong, Jayaram K. Udupa, Joseph M. McDonough, Caiyun Wu, Changjian Sun, Lipeng Xie, (unknown), (unknown), Oscar H. Mayer, Jason B. Anari, Drew A. Torigian, Patrick J. Cahill	3
8	Automatic lung segmentation in dynamic thoracic MRI using two-stage deep convolutional neural networks 2022 ·PubMed ·Lipeng Xie, Jayaram K. Udupa, Yubing Tong, Joseph M. McDonough, Caiyun Wu, (unknown), Jason B. Anari, Patrick J. Cahill, Drew A. Torigian	6
9	An anatomy-based iteratively searching convolutional neural network for organ localization in CT images 2022 ·PubMed ·(unknown), (unknown), Yubing Tong, Drew A. Torigian, Jayaram K. Udupa	1
10	Anatomy recognition in CT images of head and neck region via precision atlases 2021 ·PubMed ·Jieyu Li, Jayaram K. Udupa, Yubing Tong, Dewey Odhner, Drew A. Torigian	1
11	A nonlinear relationship between visceral adipose tissue and frailty in adult lung transplant candidates 2019 ·American Journal of Transplantation ·Michaela R. Anderson, Nicholas A. Kolaitis, Ying Gao, Jasleen Kukreja, John R. Greenland, Steven R. Hays, Paul J. Wolters, Jeffrey A. Golden, Joshua M. Diamond, Scott M. Palmer, Selim M. Arcasoy, Jayaram K. Udupa, Jason D. Christie, David J. Lederer, Jonathan P. Singer	23
12	Quantitative Dynamic Thoracic MRI: Application to Thoracic Insufficiency Syndrome in Pediatric Patients 2019 ·Radiology ·Yubing Tong, Jayaram K. Udupa, Joseph M. McDonough, E. Paul Wileyto, (unknown), Caiyun Wu, (unknown), (unknown), Divya Talwar, Oscar H. Mayer, Drew A. Torigian, Robert M. Campbell	25
13	Determining lesion size in osteonecrosis of the femoral head: A practical approach 2016 ·Marvin E. Steinberg, (unknown), (unknown), Jayaram K. Udupa, David R. Steinberg	1
14	Quantitative normal thoracic anatomy at CT 2016 ·Computerized Medical Imaging and Graphics ·(unknown), Jayaram K. Udupa, Yubing Tong, Babak Saboury, Drew A. Torigian	6
15	A Generic Approach to Pathological Lung Segmentation 2014 ·IEEE Transactions on Medical Imaging ·Awais Mansoor, Ulaş Bağcı, Ziyue Xu, Brent Foster, Kenneth N. Olivier, Jason M. Elinoff, Anthony F. Suffredini, Jayaram K. Udupa, Daniel J. Mollura	118
16	MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis 2011 ·SPIE eBooks ·Zhiguo Cao, Jayaram K. Udupa, Henri Maı̂tre	1
17	The Treatment of Multiple Sclerosis with Inosine 2009 ·The Journal of Alternative and Complementary Medicine ·Clyde Markowitz, Sergei Spitsin, Vanessa Zimmerman, Dina Jacobs, Jayaram K. Udupa, D. Craig Hooper, Hilary Koprowski	80
18	Upper Airway Size Analysis by Magnetic Resonance Imaging of Children with Obstructive Sleep Apnea Syndrome 2002 ·American Journal of Respiratory and Critical Care Medicine ·Raanan Arens, Joseph M. McDonough, Aaron Corbin, (unknown), (unknown), Allan I Pack, Jianguo Liu, Jayaram K. Udupa	157
19	3D MR image analysis of the morphology of the rear foot: application to classification of bones 1999 ·Computerized Medical Imaging and Graphics ·Éric Stindel, Jayaram K. Udupa, Hirsch Be, Dewey Odhner, Christine Couture	41
20	Computer aspects of 3D imaging in Medicine: a tutorial 1991 ·CRC Press, Inc. eBooks ·Jayaram K. Udupa	11

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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