Sailesh Conjeti

3.5k citations
38 papers · 1.8k · 2 hit papers · h-index 15

Impact in

Papers in

Sailesh Conjeti

38 papers receiving 1.7k citations

Sailesh Conjeti's Hit Papers

FastSurfer - A fast and accurate deep learning based neuroimaging pipeline 2020 · 300 citations
3000+3+6Years since publication100200300400

Peers

Sailesh Conjeti
Comparison fields: 5 of 130
  • Radiology, Nuclear Medicine and Imaging 899
  • Ophthalmology 298
  • Computer Vision and Pattern Recognition 519
  • Neurology 167
  • Health Informatics 18
Replace Christian Wachinger with:
Christian Wachinger Germany
Joel E.W. Koh Singapore
Anjan Gudigar India
Georgy Gimel’farb New Zealand
George K. Matsopoulos Greece
Qiang Chen China
Dwarikanath Mahapatra Switzerland
Muhammad Arsalan South Korea
Jinzhu Yang China
Kai Ma China
Sailesh Conjeti relative to Christian Wachinger Germany Christian Wachinger's profile →
Citations per field
00.5×1.5×
Christian Wachinger · 1×
Citations per year

Countries citing papers authored by Sailesh Conjeti

Since Specialization
Citations

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

Fields of papers citing papers by Sailesh Conjeti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sailesh Conjeti. 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 Sailesh Conjeti. The network helps show where Sailesh Conjeti may publish in the future.

Co-authors

The 25 scholars most cited alongside Sailesh Conjeti, 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 Sailesh Conjeti Line = papers co-authored together Sailesh Conjeti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks
Hit paper breakdown →
2017445
2
FastSurfer - A fast and accurate deep learning based neuroimaging pipeline
Hit paper breakdown →
2020300
3 2018211
4 2018145
5 2013137
6 201976
7
FatSegNet: A fully automated deep learning pipeline for adipose tissue segmentation on abdominal dixon MRI.
202059
8 201854
9 201637
10 202036
11 201524
12 201323
13 201121
14 201619
15 201815
16 201314
17 201414
18 201214
19 201612
20 201612

About Sailesh Conjeti

Sailesh Conjeti is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Image Retrieval and Classification Techniques (6 papers), Sleep and Work-Related Fatigue (5 papers), AI in cancer detection (5 papers), Advanced Neural Network Applications (4 papers), Digital Imaging for Blood Diseases (4 papers), Optical Coherence Tomography Applications (4 papers) and Heart Rate Variability and Autonomic Control (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (899 citations), Ophthalmology (298 citations), Computer Vision and Pattern Recognition (519 citations), Neurology (167 citations) and Health Informatics (18 citations). Sailesh Conjeti has collaborated with scholars based in Germany, India and United States. Frequent co-authors include Nassir Navab, Abhijit Guha Roy, Christian Wachinger, Debdoot Sheet, Amin Katouzian, Rajiv Ranjan Singh, Rahul Banerjee, Sri Phani Krishna Karri, Martin Reuter and Santiago Estrada. Their work appears in journals such as NeuroImage, Medical Image Analysis, Artificial Intelligence in Medicine, International Journal of Computational Intelligence Systems and Biomedical Optics Express.

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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