Premal A. Patel

58 papers receiving 1.7k citations

Premal A. Patel's Hit Papers

Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning 2018 · 631 citations
6310+2+5Years since publication200400600

Peers

Premal A. Patel
Comparison fields: 5 of 127
  • Computer Vision and Pattern Recognition 565
  • Neurology 162
  • Health Informatics 27
  • Radiology, Nuclear Medicine and Imaging 409
  • Pediatrics, Perinatology and Child Health 238
Replace Marius George Linguraru with:
Marius George Linguraru United States
Sara Moccia Italy
Mohamed Abou El‐Ghar Egypt
Dean C. Barratt United Kingdom
Wolfgang Wein Germany
Evrim Türkbey United States
Hassan Rivaz Canada
Wieland H. Sommer Germany
Tom Doel United Kingdom
Premal A. Patel relative to Marius George Linguraru United States Marius George Linguraru's profile →
Citations per field
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Marius George Linguraru · 1×
Citations per year

Countries citing papers authored by Premal A. Patel

Since Specialization
Citations

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

Fields of papers citing papers by Premal A. Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Premal A. Patel. 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 Premal A. Patel. The network helps show where Premal A. Patel may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning
Hit paper breakdown →
2018631
2
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
Hit paper breakdown →
2018341
3 2019180
4 2013160
5 201445
6 201138
7 201336
8 201829
9 202124
10 201920
11 201719
12 202115
13 202115
14 201913
15 201712
16 201911
17 202211
18 201510
19 20139
20 20179

About Premal A. Patel

Premal A. Patel is a scholar working on Surgery, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Epidemiology and Rheumatology, having authored 62 papers that have together received 1.7k indexed citations. Recurring topics across this work include Fetal and Pediatric Neurological Disorders (8 papers), Renal and Vascular Pathologies (5 papers), Spinal Dysraphism and Malformations (4 papers), Clinical Nutrition and Gastroenterology (3 papers), Medical Image Segmentation Techniques (2 papers), Neuroblastoma Research and Treatments (2 papers), Gastroesophageal reflux and treatments (2 papers) and Teratomas and Epidermoid Cysts (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (565 citations), Neurology (162 citations), Health Informatics (27 citations), Radiology, Nuclear Medicine and Imaging (409 citations) and Pediatrics, Perinatology and Child Health (238 citations). Premal A. Patel has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Tom Vercauteren, Sébastien Ourselin, Michaël Aertsen, Jan Deprest, Anna L. David, Guotai Wang, Wenqi Li, Tom Doel, Rosalind Pratt and María A. Zuluaga. Their work appears in journals such as Journal of Vascular and Interventional Radiology, Journal of Pediatric Hematology/Oncology, The Journal of Urology, CardioVascular and Interventional Radiology and Archives of Disease in Childhood.

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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