Faculty profile
Martin Lepage
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Université de Sherbrooke directory, so their courses may be missing. Find their university profile.
Research
Latest papers
Editorial: In vivo magnetic resonance imaging of metabolic disorders.
Frontiers in endocrinology · 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.
Nature communications · 2025
Amelioration of Cognitive and Olfactory System Deficits in APOE4 Transgenic Mice with DHA Treatment.
Molecular neurobiology · 2023
Latest funding
- $1,086,300
Novel treatment of Alzheimer's disease by early targeting and visualizing soluble amyloid beta oligomers using cyclic azapeptides
CIHR · 2025 · Co-investigator
- $1,197,226
Stimulating adipose tissue fatty acid disposal with low-dose, postprandial, intermittent niacin for the treatment of metabolic dysfunction-associated steatotic liver disease
CIHR · 2024 · Co-investigator
- $830,025
Rôle d'un supplément de taurine pour la prévention de la nécrose, de l'hypertrophie, de la défaillance cardiaque et de la mort prématurée dans la cardiomyopathie héréditaire.
CIHR · 2022 · Co-investigator
71 publications.
Editorial: In vivo magnetic resonance imaging of metabolic disorders.
Tang A, Lepage M, Rutter GA, Carpentier AC
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.
Zenk M, Baid U, Pati S, Linardos A, Edwards B, Sheller M, Foley P, Aristizabal A, Zimmerer D, Gruzdev A, Martin J, Shinohara RT, Reinke A, Isensee F, Parampottupadam S, Parekh K, Floca R, Kassem H, Baheti B, Thakur S, Chung V, Kushibar K, Lekadir K, Jiang M, Yin Y, Yang H, Liu Q, Chen C, Dou Q, Heng PA, Zhang X, Zhang S, Khan MI, Azeem MA, Jafaritadi M, Alhoniemi E, Kontio E, Khan SA, Mächler L, Ezhov I, Kofler F, Shit S, Paetzold JC, Loehr T, Wiestler B, Peiris H, Pawar K, Zhong S, Chen Z, Hayat M, Egan G, Harandi M, Isik Polat E, Polat G, Kocyigit A, Temizel A, Tuladhar A, Tyagi L, Souza R, Forkert ND, Mouches P, Wilms M, Shambhat V, Maurya A, Danannavar SS, Kalla R, Anand VK, Krishnamurthi G, Nalawade S, Ganesh C, Wagner B, Reddy D, Das Y, Yu FF, Fei B, Madhuranthakam AJ, Maldjian J, Singh G, Ren J, Zhang W, An N, Hu Q, Zhang Y, Zhou Y, Siomos V, Tarroni G, Passerrat-Palmbach J, Rawat A, Zizzo G, Kadhe SR, Epperlein JP, Braghin S, Wang Y, Kanagavelu R, Wei Q, Yang Y, Liu Y, Kotowski K, Adamski S, Machura B, Malara W, Zarudzki L, Nalepa J, Shi Y, Gao H, Avestimehr S, Yan Y, Akbar AS, Kondrateva E, Yang H, Li Z, Wu HY, Roth J, Saueressig C, Milesi A, Nguyen QD, Gruenhagen NJ, Huang TM, Ma J, Singh HSH, Pan NY, Zhang D, Zeineldin RA, Futrega M, Yuan Y, Conte GM, Feng X, Pham QD, Xia Y, Jiang Z, Luu HM, Dobko M, Carré A, Tuchinov B, Mohy-Ud-Din H, Alam S, Singh A, Shah N, Wang W, Sako C, Bilello M, Ghodasara S, Mohan S, Davatzikos C, Calabrese E, Rudie J, Villanueva-Meyer J, Cha S, Hess C, Mongan J, Ingalhalikar M, Jadhav M, Pandey U, Saini J, Huang RY, Chang K, To MS, Bhardwaj S, Chong C, Agzarian M, Kozubek M, Lux F, Michálek J, Matula P, Ker Kovský M, Kopr Ivová T, Dostál M, Vybíhal V, Pinho MC, Holcomb J, Metz M, Jain R, Lee MD, Lui YW, Tiwari P, Verma R, Bareja R, Yadav I, Chen J, Kumar N, Gusev Y, Bhuvaneshwar K, Sayah A, Bencheqroun C, Belouali A, Madhavan S, Colen RR, Kotrotsou A, Vollmuth P, Brugnara G, Preetha CJ, Sahm F, Bendszus M, Wick W, Mahajan A, Balaña C, Capellades J, Puig J, Choi YS, Lee SK, Chang JH, Ahn SS, Shaykh HF, Herrera-Trujillo A, Trujillo M, Escobar W, Abello A, Bernal J, Gómez J, LaMontagne P, Marcus DS, Milchenko M, Nazeri A, Landman B, Ramadass K, Xu K, Chotai S, Chambless LB, Mistry A, Thompson RC, Srinivasan A, Bapuraj JR, Rao A, Wang N, Yoshiaki O, Moritani T, Turk S, Lee J, Prabhudesai S, Garrett J, Larson M, Jeraj R, Li H, Weiss T, Weller M, Bink A, Pouymayou B, Sharma S, Tseng TC, Adabi S, Xavier Falcão A, Martins SB, Teixeira BCA, Sprenger F, Menotti D, Lucio DR, Niclou SP, Keunen O, Hau AC, Pelaez E, Franco-Maldonado H, Loayza F, Quevedo S, McKinley R, Slotboom J, Radojewski P, Meier R, Wiest R, Trenkler J, Pichler J, Necker G, Haunschmidt A, Meckel S, Guevara P, Torche E, Mendoza C, Vera F, Ríos E, López E, Velastin SA, Choi J, Baek S, Kim Y, Ismael H, Allen B, Buatti JM, Zampakis P, Panagiotopoulos V, Tsiganos P, Alexiou S, Haliassos I, Zacharaki EI, Moustakas K, Kalogeropoulou C, Kardamakis DM, Luo B, Poisson LM, Wen N, Vallières M, Loutfi MAL, Fortin D, Lepage M, Morón F, Mandel J, Shukla G, Liem S, Alexandre GS, Lombardo J, Palmer JD, Flanders AE, Dicker AP, Ogbole G, Oyekunle D, Odafe-Oyibotha O, Osobu B, Shu'aibu Hikima M, Soneye M, Dako F, Dorcas A, Murcia D, Fu E, Haas R, Thompson JA, Ormond DR, Currie S, Fatania K, Frood R, Simpson AL, Peoples JJ, Hu R, Cutler D, Moraes FY, Tran A, Hamghalam M, Boss MA, Gimpel J, Kattil Veettil D, Schmidt K, Cimino L, Price C, Bialecki B, Marella S, Apgar C, Jakab A, Weber MA, Colak E, Kleesiek J, Freymann JB, Kirby JS, Maier-Hein L, Albrecht J, Mattson P, Karargyris A, Shah P, Menze B, Maier-Hein K, Bakas S
Amelioration of Cognitive and Olfactory System Deficits in APOE4 Transgenic Mice with DHA Treatment.
González LM, Bourissai A, Lessard-Beaudoin M, Lebel R, Tremblay L, Lepage M, Graham RK
Author Correction: Federated learning enables big data for rare cancer boundary detection.
Pati S, Baid U, Edwards B, Sheller M, Wang SH, Reina GA, Foley P, Gruzdev A, Karkada D, Davatzikos C, Sako C, Ghodasara S, Bilello M, Mohan S, Vollmuth P, Brugnara G, Preetha CJ, Sahm F, Maier-Hein K, Zenk M, Bendszus M, Wick W, Calabrese E, Rudie J, Villanueva-Meyer J, Cha S, Ingalhalikar M, Jadhav M, Pandey U, Saini J, Garrett J, Larson M, Jeraj R, Currie S, Frood R, Fatania K, Huang RY, Chang K, Balaña C, Capellades J, Puig J, Trenkler J, Pichler J, Necker G, Haunschmidt A, Meckel S, Shukla G, Liem S, Alexander GS, Lombardo J, Palmer JD, Flanders AE, Dicker AP, Sair HI, Jones CK, Venkataraman A, Jiang M, So TY, Chen C, Heng PA, Dou Q, Kozubek M, Lux F, Michálek J, Matula P, Keřkovský M, Kopřivová T, Dostál M, Vybíhal V, Vogelbaum MA, Mitchell JR, Farinhas J, Maldjian JA, Yogananda CGB, Pinho MC, Reddy D, Holcomb J, Wagner BC, Ellingson BM, Cloughesy TF, Raymond C, Oughourlian T, Hagiwara A, Wang C, To MS, Bhardwaj S, Chong C, Agzarian M, Falcão AX, Martins SB, Teixeira BCA, Sprenger F, Menotti D, Lucio DR, LaMontagne P, Marcus D, Wiestler B, Kofler F, Ezhov I, Metz M, Jain R, Lee M, Lui YW, McKinley R, Slotboom J, Radojewski P, Meier R, Wiest R, Murcia D, Fu E, Haas R, Thompson J, Ormond DR, Badve C, Sloan AE, Vadmal V, Waite K, Colen RR, Pei L, Ak M, Srinivasan A, Bapuraj JR, Rao A, Wang N, Yoshiaki O, Moritani T, Turk S, Lee J, Prabhudesai S, Morón F, Mandel J, Kamnitsas K, Glocker B, Dixon LVM, Williams M, Zampakis P, Panagiotopoulos V, Tsiganos P, Alexiou S, Haliassos I, Zacharaki EI, Moustakas K, Kalogeropoulou C, Kardamakis DM, Choi YS, Lee SK, Chang JH, Ahn SS, Luo B, Poisson L, Wen N, Tiwari P, Verma R, Bareja R, Yadav I, Chen J, Kumar N, Smits M, van der Voort SR, Alafandi A, Incekara F, Wijnenga MMJ, Kapsas G, Gahrmann R, Schouten JW, Dubbink HJ, Vincent AJPE, van den Bent MJ, French PJ, Klein S, Yuan Y, Sharma S, Tseng TC, Adabi S, Niclou SP, Keunen O, Hau AC, Vallières M, Fortin D, Lepage M, Landman B, Ramadass K, Xu K, Chotai S, Chambless LB, Mistry A, Thompson RC, Gusev Y, Bhuvaneshwar K, Sayah A, Bencheqroun C, Belouali A, Madhavan S, Booth TC, Chelliah A, Modat M, Shuaib H, Dragos C, Abayazeed A, Kolodziej K, Hill M, Abbassy A, Gamal S, Mekhaimar M, Qayati M, Reyes M, Park JE, Yun J, Kim HS, Mahajan A, Muzi M, Benson S, Beets-Tan RGH, Teuwen J, Herrera-Trujillo A, Trujillo M, Escobar W, Abello A, Bernal J, Gómez J, Choi J, Baek S, Kim Y, Ismael H, Allen B, Buatti JM, Kotrotsou A, Li H, Weiss T, Weller M, Bink A, Pouymayou B, Shaykh HF, Saltz J, Prasanna P, Shrestha S, Mani KM, Payne D, Kurc T, Pelaez E, Franco-Maldonado H, Loayza F, Quevedo S, Guevara P, Torche E, Mendoza C, Vera F, Ríos E, López E, Velastin SA, Ogbole G, Soneye M, Oyekunle D, Odafe-Oyibotha O, Osobu B, Shu'aibu M, Dorcas A, Dako F, Simpson AL, Hamghalam M, Peoples JJ, Hu R, Tran A, Cutler D, Moraes FY, Boss MA, Gimpel J, Veettil DK, Schmidt K, Bialecki B, Marella S, Price C, Cimino L, Apgar C, Shah P, Menze B, Barnholtz-Sloan JS, Martin J, Bakas S
DeepImageTranslator: A free, user-friendly graphical interface for image translation using deep-learning and its applications in 3D CT image analysis.
Ye RZ, Noll C, Richard G, Lepage M, Turcotte ÉE, Carpentier AC
Federated learning enables big data for rare cancer boundary detection.
Pati S, Baid U, Edwards B, Sheller M, Wang SH, Reina GA, Foley P, Gruzdev A, Karkada D, Davatzikos C, Sako C, Ghodasara S, Bilello M, Mohan S, Vollmuth P, Brugnara G, Preetha CJ, Sahm F, Maier-Hein K, Zenk M, Bendszus M, Wick W, Calabrese E, Rudie J, Villanueva-Meyer J, Cha S, Ingalhalikar M, Jadhav M, Pandey U, Saini J, Garrett J, Larson M, Jeraj R, Currie S, Frood R, Fatania K, Huang RY, Chang K, Balaña C, Capellades J, Puig J, Trenkler J, Pichler J, Necker G, Haunschmidt A, Meckel S, Shukla G, Liem S, Alexander GS, Lombardo J, Palmer JD, Flanders AE, Dicker AP, Sair HI, Jones CK, Venkataraman A, Jiang M, So TY, Chen C, Heng PA, Dou Q, Kozubek M, Lux F, Michálek J, Matula P, Keřkovský M, Kopřivová T, Dostál M, Vybíhal V, Vogelbaum MA, Mitchell JR, Farinhas J, Maldjian JA, Yogananda CGB, Pinho MC, Reddy D, Holcomb J, Wagner BC, Ellingson BM, Cloughesy TF, Raymond C, Oughourlian T, Hagiwara A, Wang C, To MS, Bhardwaj S, Chong C, Agzarian M, Falcão AX, Martins SB, Teixeira BCA, Sprenger F, Menotti D, Lucio DR, LaMontagne P, Marcus D, Wiestler B, Kofler F, Ezhov I, Metz M, Jain R, Lee M, Lui YW, McKinley R, Slotboom J, Radojewski P, Meier R, Wiest R, Murcia D, Fu E, Haas R, Thompson J, Ormond DR, Badve C, Sloan AE, Vadmal V, Waite K, Colen RR, Pei L, Ak M, Srinivasan A, Bapuraj JR, Rao A, Wang N, Yoshiaki O, Moritani T, Turk S, Lee J, Prabhudesai S, Morón F, Mandel J, Kamnitsas K, Glocker B, Dixon LVM, Williams M, Zampakis P, Panagiotopoulos V, Tsiganos P, Alexiou S, Haliassos I, Zacharaki EI, Moustakas K, Kalogeropoulou C, Kardamakis DM, Choi YS, Lee SK, Chang JH, Ahn SS, Luo B, Poisson L, Wen N, Tiwari P, Verma R, Bareja R, Yadav I, Chen J, Kumar N, Smits M, van der Voort SR, Alafandi A, Incekara F, Wijnenga MMJ, Kapsas G, Gahrmann R, Schouten JW, Dubbink HJ, Vincent AJPE, van den Bent MJ, French PJ, Klein S, Yuan Y, Sharma S, Tseng TC, Adabi S, Niclou SP, Keunen O, Hau AC, Vallières M, Fortin D, Lepage M, Landman B, Ramadass K, Xu K, Chotai S, Chambless LB, Mistry A, Thompson RC, Gusev Y, Bhuvaneshwar K, Sayah A, Bencheqroun C, Belouali A, Madhavan S, Booth TC, Chelliah A, Modat M, Shuaib H, Dragos C, Abayazeed A, Kolodziej K, Hill M, Abbassy A, Gamal S, Mekhaimar M, Qayati M, Reyes M, Park JE, Yun J, Kim HS, Mahajan A, Muzi M, Benson S, Beets-Tan RGH, Teuwen J, Herrera-Trujillo A, Trujillo M, Escobar W, Abello A, Bernal J, Gómez J, Choi J, Baek S, Kim Y, Ismael H, Allen B, Buatti JM, Kotrotsou A, Li H, Weiss T, Weller M, Bink A, Pouymayou B, Shaykh HF, Saltz J, Prasanna P, Shrestha S, Mani KM, Payne D, Kurc T, Pelaez E, Franco-Maldonado H, Loayza F, Quevedo S, Guevara P, Torche E, Mendoza C, Vera F, Ríos E, López E, Velastin SA, Ogbole G, Soneye M, Oyekunle D, Odafe-Oyibotha O, Osobu B, Shu'aibu M, Dorcas A, Dako F, Simpson AL, Hamghalam M, Peoples JJ, Hu R, Tran A, Cutler D, Moraes FY, Boss MA, Gimpel J, Veettil DK, Schmidt K, Bialecki B, Marella S, Price C, Cimino L, Apgar C, Shah P, Menze B, Barnholtz-Sloan JS, Martin J, Bakas S
Characterization of microparticles of iron oxide for magnetic resonance imaging.
Fouquet JP, Sikpa D, Lebel R, Sibgatulin R, Krämer M, Herrmann KH, Deistung A, Tremblay L, Reichenbach JR, Lepage M
High-fructose feeding suppresses cold-stimulated brown adipose tissue glucose uptake independently of changes in thermogenesis and the gut microbiome
Richard G, Blondin DP, Syed SA, Rossi L, Fontes ME, Fortin M, Phoenix S, Frisch F, Dubreuil S, Guérin B
Robust arterial input function surrogate measurement from the superior sagittal sinus complex signal for fast dynamic contrast-enhanced MRI in the brain.
Bourassa-Moreau B, Lebel R, Gilbert G, Mathieu D, Lepage M
Contribution of perfusion to the 11 C-acetate signal in brown adipose tissue assessed by DCE-MRI and 68 Ga-DOTA PET in a rat model.
Richard G, Noll C, Archambault M, Lebel R, Tremblay L, Ait-Mohand S, Guérin B, Blondin DP, Carpentier AC, Lepage M
Novel treatment of Alzheimer's disease by early targeting and visualizing soluble amyloid beta oligomers using cyclic azapeptides
Principal investigators: Guérin, Brigitte; Lubell, William D; Rahimipour, Shai
Keywords: 64cu-Radiolabeled Conjugates; Abeta-Oligomers; Alzheimer'S Disease (Ad); Anti-Aggregation Activity; Azacyclopeptides; Cognitive Behavioral Studies; Early Diagnosis; Non-Fibrillar Aggregates; Pet-Ct-Mr Imaging; Treatment
Stimulating adipose tissue fatty acid disposal with low-dose, postprandial, intermittent niacin for the treatment of metabolic dysfunction-associated steatotic liver disease
Principal investigators: Carpentier, André C
Keywords: Abdominal Obesity; Adipose Tissue Metabolism; Fatty Acid Metabolism; Hepatic Metabolism; Magnetic Resonance Imaging; Metabolic Dysfunction-Associated Steatotic Liver Disease; Molecular Imaging; Positron Emission Tomography; Tracer Methods; Type 2 Diabetes
Rôle d'un supplément de taurine pour la prévention de la nécrose, de l'hypertrophie, de la défaillance cardiaque et de la mort prématurée dans la cardiomyopathie héréditaire.
Principal investigators: Jacques, Danielle; Bkaily, Ghassan
Keywords: Cardiomyocytes; Dépendance Du Sexe; Hamsters Normaux Et Cardiomyopathiques; Hypertrophie Et Défaillance Cardiaque; Imagerie Par Résonance Magnétique (Irm); Ros; Sodium Et Calcium Intracellulaire; Supplément En Taurine; Tomographie D'Émission Par Positron (Tep); Étude In Vivo
Improved adipose tissue storage of dietary fatty acids as a new mechanism for the rapid remission of hepatic and cardiac metabolic dysfunction after bariatric surgery
Principal investigators: Carpentier, André C
Keywords: Adipose Tissues; Bariatric Surgery; Glucose Metabolism; Hepatic Steatosis; Molecular Imaging; Obesity; Positron Emission Tomography; Postprandial Fatty Acid Metabolism; Tracer Methods; Type 2 Diabetes
Imaging the contribution of early cerebrovascular inflammation in Alzheimer's disease
Principal investigators: Lepage, Martin
Keywords: Alzheimer'S Disease; Cerebrovascular Inflammation; Imaging Biomarker; Magnetic Resonance Imaging; Positron Emission Tomography
Methods for ultrasensitive and quantitative multimodal molecular imaging of vascular inflammation
Principal investigators: Lepage, Martin
Ultra-high pressure liquid chromatography apparatus to study the pharmacokinetics of small molecules
Principal investigators: Marsault, Eric
Quantifying Brown Adipose Tissue Thermogenesis in Obesity and Type 2 Diabetes
Principal investigators: Carpentier, André C
Keywords: Brown Adipose Tissue; Energy Metabolism; Fatty Acid Metabolism; Magnetic Resonance Imaging; Molecular Imaging; Obesity; Positron Emission Tomography; Tracer Methods; Triglycerides; Type 2 Diabetes
Development of cancer therapies targeting Myc with cell penetrating b-HLH-LZ domains
Principal investigators: Lavigne, Pierre
Keywords: Basic Region-Helix-Loop-Helix-Leucine Zipper Domains; C-Myc; C-Myc Inhibition; Cell Penetrating Protein Domains; Chip-Seq; Max; Mouse Models Of Lung Cancer; New Therapies; Preclinical Studies; Tumor Suppressor Role Of Max
Can deep-learning algorithms identify genetic mutations or aberrant cellular signalling pathways from medical images?
Principal investigators: Lepage, Martin
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Médecine
- Médecine nucléaire et radiobiologie
- Obstétrique et gynécologie
- Medicine
- Psychiatry
- Radiology and Nuclear Medicine
- Pédiatrie
- Other
Co-authors at Université de Sherbrooke, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Benoît Paquette
Médecine
10 shared papers, latest 2020
Philippe Sarret
Obstétrique et gynécologie
8 shared papers, latest 2020
Kevin Whittingstall
Obstétrique et gynécologie
5 shared papers, latest 2019
Jean-Paul Jay-Gerin
Médecine nucléaire et radiobiologie
3 shared papers, latest 2012
Olivier Lesur
Médecine
3 shared papers, latest 2019
Abdelouahed Khalil
Médecine
2 shared papers, latest 2012
Simon Duchesne
Radiology and Nuclear Medicine
2 shared papers, latest 2019
Tamàs Fulop
Pédiatrie
2 shared papers, latest 2019
Phedias Diamandis
Laboratory Medicine and Pathology
1 shared papers, latest 2019
Martin Lepage
Psychiatry
1 shared papers, latest 2019
Robert Day
Surgery
1 shared papers, latest 2018
Martin Lepage
Psychiatry
1 shared papers, latest 2019
Sangeeta Mehta
Faculty
1 shared papers, latest 2018
Danielle Jacques
Immunologie-Biologie Cellulaire
1 shared papers, latest 2018
William Fraser
Endocrinology and Metabolism
1 shared papers, latest 2018
Eric Marsault
Pharmacologie - Physiologie
1 shared papers, latest 2015
Adel Schwertani
Medicine/Cardiology
1 shared papers, latest 2018
Jonathan Schertzer
Biochemistry & Biomedical Sciences
1 shared papers, latest 2022
Gregory Steinberg
Medicine
1 shared papers, latest 2022
Michael Surette
Medicine
1 shared papers, latest 2022
Katherine Morrison
Pediatrics
1 shared papers, latest 2022
Louis Gendron
Médecine
1 shared papers, latest 2010
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