Evis Sala

267 papers receiving 12.3k citations

Evis Sala's Hit Papers

Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation 2021 · 390 citations
3900+3+7Years since publication100200300400500

Peers

Evis Sala
Comparison fields: 5 of 179
  • Obstetrics and Gynecology 2.4k
  • Health Informatics 356
  • Reproductive Medicine 2.1k
  • Radiology, Nuclear Medicine and Imaging 3.9k
  • Pulmonary and Respiratory Medicine 3.1k
Replace Clare M. Tempany with:
Clare M. Tempany United States
Caroline Reinhold Canada
Luca Saba Italy
Olivier Gevaert United States
Christiane Kühl Germany
Richard L. Wahl United States
Robert S. Mannel United States
Vincenzo Valentini Italy
Zhenyu Liu China
André Dekker Netherlands
Evis Sala relative to Clare M. Tempany United States Clare M. Tempany's profile →
Citations per field
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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 282 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Hit paper breakdown →
2020580
2
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
Hit paper breakdown →
2021390
3 2017339
4
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 →
2015323
5
Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images
Hit paper breakdown →
2015308
6 2006299
7 2018271
8 2015267
9
Updated prostate imaging reporting and data system (PIRADS v2) recommendations for the detection of clinically significant prostate cancer using multiparametric MRI: critical evaluation using whole-mount pathology as standard of reference
Hit paper breakdown →
2015261
10 2016260
11 2013253
12 2016228
13 2006224
14 2010219
15 2003210
16 2016209
17 2018197
18 2022176
19 2007163
20 2010143

About Evis Sala

Evis Sala is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Reproductive Medicine, Obstetrics and Gynecology and Surgery, having authored 282 papers that have together received 12.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (78 papers), Ovarian cancer diagnosis and treatment (58 papers), Endometrial and Cervical Cancer Treatments (50 papers), MRI in cancer diagnosis (35 papers), Prostate Cancer Diagnosis and Treatment (33 papers), AI in cancer detection (15 papers), Artificial Intelligence in Healthcare and Education (14 papers) and Advanced X-ray and CT Imaging (12 papers). The work is most often cited by research in Obstetrics and Gynecology (2.4k citations), Health Informatics (356 citations), Reproductive Medicine (2.1k citations), Radiology, Nuclear Medicine and Imaging (3.9k citations) and Pulmonary and Respiratory Medicine (3.1k 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 J. Lomas, Harini Veeraraghavan, Stéphanie Nougaret, Carola‐Bibiane Schönlieb, Michael Yeung and Chaya S. Moskowitz. Their work appears in journals such as European Radiology, Radiology, Radiographics, American Journal of Roentgenology and British Journal of Radiology.

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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