Thibaud Coroller

3.9k citations
32 papers · 2.9k · 4 hit papers · h-index 16

Impact in

Papers in

Thibaud Coroller

32 papers receiving 2.9k citations

Hit Papers

Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging 2019 · 402 citations
4020+3+7Years since publication100200300400500

Peers

Thibaud Coroller
Comparison fields: 5 of 97
  • Radiology, Nuclear Medicine and Imaging 2.5k
  • Health Informatics 133
  • Pulmonary and Respiratory Medicine 1.5k
  • Artificial Intelligence 568
  • Biomedical Engineering 763
Replace Yuhua Gu with:
Yuhua Gu United States
Xenia Fave United States
Margarita Kirienko Italy
Mengjie Fang China
Yvonka van Wijk Netherlands
Martin Vallières Canada
Dennis Mackin United States
Alberto Traverso Netherlands
Ronald Boellard Netherlands
Aniek J.G. Even Netherlands
Thibaud Coroller relative to Yuhua Gu United States Yuhua Gu's profile →
Citations per field
00.5×1.5×
Yuhua Gu · 1×
Citations per year

Countries citing papers authored by Thibaud Coroller

Since Specialization
Citations

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

Fields of papers citing papers by Thibaud Coroller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma
Hit paper breakdown →
2015547
2
Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging
Hit paper breakdown →
2019402
3
Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study
Hit paper breakdown →
2018398
4
Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer
Hit paper breakdown →
2017304
5 2016254
6 2016173
7 2016159
8 2016132
9 2017118
10 2018106
11 201784
12 201650
13 201635
14 201434
15 201931
16 201615
17 202411
18 202011
19 20177
20 20237

About Thibaud Coroller

Thibaud Coroller is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Oncology and Surgery, having authored 32 papers that have together received 2.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (23 papers), Lung Cancer Diagnosis and Treatment (15 papers), Advanced X-ray and CT Imaging (6 papers), Medical Imaging Techniques and Applications (5 papers), Gastric Cancer Management and Outcomes (5 papers), Lung Cancer Treatments and Mutations (4 papers), Medical Imaging and Analysis (3 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.5k citations), Health Informatics (133 citations), Pulmonary and Respiratory Medicine (1.5k citations), Artificial Intelligence (568 citations) and Biomedical Engineering (763 citations). Thibaud Coroller has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Hugo J.W.L. Aerts, Raymond H. Mak, Chintan Parmar, Patrick Großmann, Ying Hou, Emmanuel Rios Velazquez, Roman Zeleznik, Ahmed Hosny, Vivek Narayan and Vishesh Agrawal. Their work appears in journals such as PLoS ONE, Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Radiotherapy and Oncology and Clinical Cancer Research.

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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