Evis Sala

278 papers receiving 12.5k citations

Evis Sala's Hit Papers

Artificial intelligence and machine learning in cancer imaging 2022 · 211 citations
2110+3+7Years since publication100200300400

Peers

Evis Sala
Comparison fields: 5 of 173
  • Obstetrics and Gynecology 2.6k
  • Reproductive Medicine 2.3k
  • Radiology, Nuclear Medicine and Imaging 3.9k
  • Health Informatics 223
  • Pulmonary and Respiratory Medicine 3.2k
Replace Clare M. Tempany with:
Clare M. Tempany United States
Andrea Rockall United Kingdom
Caroline Reinhold Canada
Olivier Gevaert United States
Corinne Balleyguier France
Robert S. Mannel United States
Nandita M. deSouza United Kingdom
Christiane Katharina Kuhl Germany
Cheng‐Han Lee United States
Anwar R. Padhani United Kingdom
Evis Sala relative to Clare M. Tempany United States Clare M. Tempany's profile →
Citations per field
00.5×1.7×
Clare M. Tempany · 1×
Citations per year

Countries citing papers authored by Evis Sala

Since Specialization
Citations

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

Fields of papers citing papers by Evis Sala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 298 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
Hit paper breakdown →
2021450
2 2017351
3
Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores
Hit paper breakdown →
2015333
4
Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images
Hit paper breakdown →
2015329
5 2006313
6 2018287
7 2016286
8 2015280
9 2013269
10 2015269
11 2016243
12 2010235
13 2006232
14 2003227
15 2016218
16
Artificial intelligence and machine learning in cancer imaging
Hit paper breakdown →
2022211
17 2018205
18 2007188
19 2010154
20 2011153

About Evis Sala

Evis Sala is a scholar working on Obstetrics and Gynecology, Radiology, Nuclear Medicine and Imaging, Reproductive Medicine, Pulmonary and Respiratory Medicine and Health Informatics, having authored 298 papers that have together received 12.8k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (77 papers), Ovarian cancer diagnosis and treatment (64 papers), Endometrial and Cervical Cancer Treatments (59 papers), MRI in cancer diagnosis (36 papers), Prostate Cancer Diagnosis and Treatment (33 papers), AI in cancer detection (14 papers), Advanced X-ray and CT Imaging (14 papers) and Artificial Intelligence in Healthcare and Education (14 papers). The work is most often cited by research in Obstetrics and Gynecology (2.6k citations), Reproductive Medicine (2.3k citations), Radiology, Nuclear Medicine and Imaging (3.9k citations), Health Informatics (223 citations) and Pulmonary and Respiratory Medicine (3.2k citations). Evis Sala has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Hedvig Hricak, Hebert Alberto Vargas, Leonardo Rundo, Caroline Reinhold, David John Lomas, Harini Veeraraghavan, Stéphanie Nougaret, Chaya S. Moskowitz, Andrea Rockall and Helen Clare Addley. Their work appears in journals such as European Radiology, Radiology, Radiographics, British Journal of Radiology and American Journal of Roentgenology.

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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