Docteur Thierry COLIN
✨ Profil synthétique
IA · 04/05/2026Le Docteur Thierry COLIN est un rhumatologue hospitalier à Cherbourg-en-Cotentin avec une production scientifique significative, comme en témoignent ses 211 publications et un h-index de 24. Ses recherches couvrent divers domaines, notamment l'application de la biologie mathématique et de l'apprentissage automatique en imagerie médicale. Il a également publié sur des sujets spécifiques en rhumatologie, tels que les biomarqueurs et la génétique.
Expertises présumées
- Imagerie médicale assistée par ordinateur
- Biomarqueurs en rhumatologie
- Génétique des maladies rhumatismales
- Intelligence artificielle en rhumatologie
- Radiomics
- Apprentissage automatique en santé
- Auto-anticorps et maladies auto-immunes
Synthèse automatique à partir des sources publiques (HAL, OpenAlex, theses.fr, ClinicalTrials.gov, FAI²R, ANS). Pas une évaluation clinique. Le médecin peut corriger via son compte.
Diplômes
🎓 DES & spécialité ordinale
- DES Rhumatologie
- Rhumatologie (SM)
🎓 Diplômes
- DE Docteur en médecine
Source : Annuaire Santé ANS (FHIR Practitioner.qualification) · Mises à jour quotidiennes.
Activité de recherche & publications
Source : bases de données publiques (OpenAlex, PubMed).
h-index
24
h articles cités ≥ h fois chacun. Un h de 24 = 24 publications avec 24+ citations.
Citations
2 267
Publications
211
i10-index
47
Thématiques principales
- Mathematical Biology Tumor Growth ×28
- Advanced Mathematical Physics Problems ×25
- Social Sciences and Governance ×23
- Radiomics and Machine Learning in Medical Imaging ×20
- Education, sociology, and vocational training ×19
Affiliations FR : Sophia Genetics (France) · Université de Lorraine
Source : OpenAlex (CC0, OurResearch). Indicateurs académiques agrégés sur 250 M+ d'œuvres.
Bibliographie
Iterative confidence-based pseudo-labeling for semi-supervised lung cancer segmentation under annotation scarcity
2026CongrèsIEEE International Symposium on Biomedical Imaging
Quelle reconfiguration du travail dans l’usine du futur ? Une revue de la littérature francophone.
2026CongrèsJournée de recherche « Travailler demain : évolutions, tensions et reconfigurations du travail »
Robotique collaborative et innovation par les opérateurs : quelle transformation des compétences pour une industrie 5.0 inclusive ?
2025Congrès36ème Congrès de l’AGRH
Industrie du futur et innovation responsable : l’impact des usages de la robotiques collaborative
2025CongrèsXXXIVème conférence de l’AIMS
Trustworthy AI for stage IV non-small cell lung cancer: automatic segmentation and uncertainty quantification
2025ArticleComputerized Medical Imaging and Graphics
La robotique collaborative : remplacement des opérateurs ou démocratisation de l’innovation ? Une analyse à partir de trois études de cas.
2024CongrèsJournées GT Innovation AIMS / GTAIM « Réorienter l’innovation »
Contrastive image adaptation for acquisition shift reduction in medical imaging
2024ArticleArtificial Intelligence in Medicine
Jay B. Barney : La Resource Based View comme fondement théorique de la gestion stratégique des ressources humaines.
2024Chapitre
Source : HAL — archive ouverte CCSD/CNRS (couvre articles, chapitres EMC, communications congrès, thèses).
Lieu de consultation
CHPC - SITE CHERBOURG
46 Rue DU VAL DE SAIRE, 50102 Cherbourg-en-Cotentin
☎ 0233207000Hospitalier
Tarifs & secteur de conventionnement
Secteur de conventionnement non disponible (médecin hospitalier ou non présent dans l'Annuaire santé CNAM des libéraux conventionnés).
Prendre rendez-vous & contact
Lien Doctolib = recherche Google site:doctolib.fr (le 1er résultat est presque toujours le profil correct s'il existe).
Top publications · les plus citées
- 1A multiscale mathematical model of cancer, and its use in analyzing irradiation therapies
Theoretical biology & medical modelling · 2006
Lire l'abstract Crossref ↓
Abstract Background Radiotherapy outcomes are usually predicted using the Linear Quadratic model. However, this model does not integrate complex features of tumor growth, in particular cell cycle regulation. Methods In this paper, we propose a multiscale model of cancer growth based on the genetic and molecular features of the evolution of colorectal cancer. The model includes key genes, cellular kinetics, tissue dynamics, macroscopic tumor evolution and radiosensitivity dependence on the cell cycle phase. We investigate the role of gene-dependent cell cycle regulation in the response of tumors to therapeutic irradiation protocols. Results Simulation results emphasize the importance of tumor tissue features and the need to consider regulating factors such as hypoxia, as well as tumor geometry and tissue dynamics, in predicting and improving radiotherapeutic efficacy. Conclusion This model provides insight into the coupling of complex biological processes, which leads to a better understanding of oncogenesis. This will hopefully lead to improved irradiation therapy.
- 2Realization of a magnet using an antiferromagnetic phase of single-chain magnets
Physical review letters · 2009
📚 88 citations🎯 RCR 3.13Top 15% NIH🔓 Open Access - 3A pharmacologically based multiscale mathematical model of angiogenesis and its use in investigating the efficacy of a new cancer treatment strategy
Journal of theoretical biology · 2009
📚 50 citations🎯 RCR 1.29
Publications scientifiques (27) — classées par pathologie
Source PubMed · Recherche par auteur (homonymes possibles, vérifier l'affiliation).
Transversal17
▼
Transversal17
▼- Trustworthy AI for stage IV non-small cell lung cancer: Automatic segmentation and uncertainty quantification
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2025 · Journal Article
Dedeken S, Conze PH, Damerjian Pieters V, Gallinato O, et al.
📚 1 cit. - Machine-learning approach for prediction of pT3a upstaging and outcomes of localized renal cell carcinoma (UroCCR-15)
BJU international · 2023 · Journal Article
Boulenger de Hauteclocque A, Ferrer L, Ambrosetti D, Ricard S, et al.
📚 13 cit.🎯 RCR 1.94🔬→🩺 Translationnel - Role of 3D volume growth rate for drug activity evaluation in meningioma clinical trials: the example of the CEVOREM study
Neuro-oncology · 2021 · Clinical Trial
Graillon T, Ferrer L, Siffre J, Sanson M, et al.
📚 17 cit.🎯 RCR 1.26🩺 Clinique - Spatial mechanistic modeling for prediction of the growth of asymptomatic meningiomas
Computer methods and programs in biomedicine · 2021 · Journal Article
Collin A, Copol C, Pianet V, Colin T, et al.
📚 7 cit. - A prospective comparison of dynamic contrast-enhanced MRI and (51)Cr-EDTA clearance for glomerular filtration rate measurement in 42 kidney transplant recipients
European journal of radiology · 2019 · Comparative Study
Taton B, De La Faille R, Asselineau J, Perez P, et al.
📚 5 cit. - Experimental estimation of stored stress within spherical microtissues : What can and cannot be inferred from cutting experiments
Journal of mathematical biology · 2018 · Journal Article
Colin T, Dechristé G, Fehrenbach J, Guillaume L, et al.
📚 5 cit. - Tumor growth model of ductal carcinoma: from in situ phase to stroma invasion
Journal of theoretical biology · 2017 · Journal Article
Gallinato O, Colin T, Saut O, Poignard C
📚 4 cit. - Spatial modelling of tumour drug resistance: the case of GIST liver metastases
Mathematical medicine and biology : a journal of the IMA · 2017 · Journal Article
Lefebvre G, Cornelis F, Cumsille P, Colin T, et al.
📚 6 cit. - Computational Trials: Unraveling Motility Phenotypes, Progression Patterns, and Treatment Options for Glioblastoma Multiforme
PloS one · 2016 · Journal Article
Raman F, Scribner E, Saut O, Wenger C, et al.
📚 15 cit.🔬→🩺 Translationnel - Computational Modelling of Metastasis Development in Renal Cell Carcinoma
PLoS computational biology · 2015 · Journal Article
Baratchart E, Benzekry S, Bikfalvi A, Colin T, et al.
📚 20 cit. - Effects of anti-angiogenesis on glioblastoma growth and migration: model to clinical predictions
PloS one · 2014 · Journal Article
Scribner E, Saut O, Province P, Bag A, et al.
📚 26 cit.🔬→🩺 Translationnel - A multilayer grow-or-go model for GBM: effects of invasive cells and anti-angiogenesis on growth
Bulletin of mathematical biology · 2014 · Journal Article
Saut O, Lagaert JB, Colin T, Fathallah-Shaykh HM
📚 40 cit.🎯 RCR 1.40 - Patient specific image driven evaluation of the aggressiveness of metastases to the lung
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2014 · Journal Article
Colin T, Cornelis F, Jouganous J, Martin M, et al.
📚 1 cit. - Modeling of the migration of endothelial cells on bioactive micropatterned polymers
Mathematical biosciences and engineering : MBE · 2013 · Comparative Study
Colin T, Durrieu MC, Joie J, Lei Y, et al.
📚 2 cit. - A pharmacologically based multiscale mathematical model of angiogenesis and its use in investigating the efficacy of a new cancer treatment strategy
Journal of theoretical biology · 2009 · Journal Article
Billy F, Ribba B, Saut O, Morre-Trouilhet H, et al.
📚 50 cit.🎯 RCR 1.29 - Viscosimeter on a microfluidic chip
Langmuir : the ACS journal of surfaces and colloids · 2006 · Journal Article
Guillot P, Panizza P, Salmon JB, Joanicot M, et al.
📚 49 cit.🎯 RCR 1.54 - A multiscale mathematical model of cancer, and its use in analyzing irradiation therapies
Theoretical biology & medical modelling · 2006 · Journal Article
Ribba B, Colin T, Schnell S
📚 98 cit.🎯 RCR 2.24
IA en rhumatologie6
▼
IA en rhumatologie6
▼- FDG-PET/CT and Multimodal Machine Learning Model Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer
Cancers · 2025 · Journal Article
Groheux D, Ferrer L, Vargas J, Martineau A, et al.
📚 5 cit.🎯 RCR 2.01 - Clinical, Dosimetric and Radiomic Features Predictive of Lung Toxicity After (Chemo)Radiotherapy
Clinical lung cancer · 2025 · Journal Article
Evin C, Razakamanantsoa L, Gardavaud F, Papillon L, et al.
📚 7 cit.🎯 RCR 3.14 - UroPredict: Machine learning model on real-world data for prediction of kidney cancer recurrence (UroCCR-120)
NPJ precision oncology · 2024 · Journal Article
Margue G, Ferrer L, Etchepare G, Bigot P, et al.
📚 14 cit.🎯 RCR 2.68🔬→🩺 Translationnel - Contrastive image adaptation for acquisition shift reduction in medical imaging
Artificial intelligence in medicine · 2024 · Journal Article
Hognon C, Conze PH, Bourbonne V, Gallinato O, et al.
📚 6 cit.🎯 RCR 2.36 - Reply to: machine learning in renal cell carcinoma research: promise and pitfalls of 'renal-izing' the potential of artificial intelligence
BJU international · 2023 · Letter
Boulenger de Hauteclocque A, Ferrer L, Margue G, Etchepare G, et al.
- A CT-Based Clinical, Radiological and Radiomic Machine Learning Model for Predicting Malignancy of Solid Renal Tumors (UroCCR-75)
Diagnostics (Basel, Switzerland) · 2023 · Journal Article
Garnier C, Ferrer L, Vargas J, Gallinato O, et al.
📚 8 cit.🎯 RCR 1.36
Revue générale2
▼
Revue générale2
▼- Realization of a magnet using an antiferromagnetic phase of single-chain magnets
Physical review letters · 2009 · Journal Article
Coulon C, Clérac R, Wernsdorfer W, Colin T, et al.
📚 88 cit.🎯 RCR 3.13 - Septic arthritis of lumbar facet joints. A review of six cases
Revue du rhumatisme (English ed.) · 1997 · Journal Article
Ergan M, Macro M, Benhamou CL, Vandermarcq P, et al.
📚 49 cit.🎯 RCR 2.78
Biomarqueurs / Auto-Ac1
▼
Biomarqueurs / Auto-Ac1
▼- A Model-Strengthened Imaging Biomarker for Survival Prediction in EGFR-Mutated Non-small-cell Lung Carcinoma Patients Treated with Tyrosine Kinase Inhibitors
Bulletin of mathematical biology · 2021 · Journal Article
Collin A, Groza V, Missenard L, Chomy F, et al.
📚 1 cit.
Génétique1
▼
Génétique1
▼- Genetic analysis of adults heterozygous for ALPL mutations
Journal of bone and mineral metabolism · 2018 · Journal Article
Taillandier A, Domingues C, Dufour A, Debiais F, et al.
📚 42 cit.🎯 RCR 2.29🔬→🩺 Translationnel
