This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Université de Montréal directory, so their courses may be missing. Find their university profile.
Latest papers
Unlocking the full potential of MRI with artificial intelligence for pre-operative meningioma evaluation.
European radiology · 2026 · first author
The Brain Tumor Segmentation - Metastases (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI.
ArXiv · 2024
Cerebral Air Embolism Following Catheter Ablation for Atrial Fibrillation.
The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques · 2024
Latest funding
- $405,451
Enhancing Robustness in Non-Contrast CT Image Analysis for Stroke: Application to Intracerebral Hemorrhage Outcome Prediction
CIHR · 2025 · Nominated PI
- $707,626
Artificial intelligence-based Development and Validation of a New Approach to Predict Efficacy of Treatment for Surgical Head and Neck Squamous Cell Carcinoma using Multi-omics (ADVANCE)
CIHR · 2025 · Co-investigator
- $1,453,500
Peripheral and CNS inflammation and injury profiles in children with Tuberous Sclerosis Complex and their association with neurological disability and treatment with mTOR inhibitors: a multicentre, longitudinal study cohort.
CIHR · 2025 · Co-investigator
9 publications.
Unlocking the full potential of MRI with artificial intelligence for pre-operative meningioma evaluation.
Letourneau-Guillon L
The Brain Tumor Segmentation - Metastases (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI.
Moawad AW, Janas A, Baid U, Ramakrishnan D, Saluja R, Ashraf N, Maleki N, Jekel L, Yordanov N, Fehringer P, Gkampenis A, Amiruddin R, Manteghinejad A, Adewole M, Albrecht J, Anazodo U, Aneja S, Anwar SM, Bergquist T, Chiang V, Chung V, Conte GM, Dako F, Eddy J, Ezhov I, Khalili N, Farahani K, Iglesias JE, Jiang Z, Johanson E, Kazerooni AF, Kofler F, Krantchev K, LaBella D, Van Leemput K, Li HB, Linguraru MG, Liu X, Meier Z, Menze BH, Moy H, Osenberg K, Piraud M, Reitman Z, Shinohara RT, Wang C, Wiestler B, Wiggins W, Shafique U, Willms K, Avesta A, Bousabarah K, Chakrabarty S, Gennaro N, Holler W, Kaur M, LaMontagne P, Lin M, Lost J, Marcus DS, Maresca R, Merkaj S, Cassinelli Pedersen G, von Reppert M, Sotiras A, Teytelboym O, Tillmans N, Westerhoff M, Youssef A, Godfrey D, Floyd S, Rauschecker A, Villanueva-Meyer J, Pflüger I, Cho J, Bendszus M, Brugnara G, Cramer J, Perez-Carillo GJG, Johnson DR, Kam A, Kwan BYM, Lai L, Lall NU, Memon F, Krycia M, Patro SN, Petrovic B, So TY, Thompson G, Wu L, Schrickel EB, Bansal A, Barkhof F, Besada C, Chu S, Druzgal J, Dusoi A, Farage L, Feltrin F, Fong A, Fung SH, Gray RI, Ikuta I, Iv M, Postma AA, Mahajan A, Joyner D, Krumpelman C, Letourneau-Guillon L, Lincoln CM, Maros ME, Miller E, Morón FEA, Nimchinsky EA, Ozsarlak O, Patel U, Rohatgi S, Saha A, Sayah A, Schwartz ED, Shih R, Shiroishi MS, Small JE, Tanwar M, Valerie J, Weinberg BD, White ML, Young R, Zohrabian VM, Azizova A, Brüßeler MMT, Ghonim M, Ghonim M, Okar A, Pasquini L, Sharifi Y, Singh G, Sollmann N, Soumala T, Taherzadeh M, Vollmuth P, Foltyn-Dumitru M, Malhotra A, Abayazeed AH, Dellepiane F, Lohmann P, Pérez-García VM, Elhalawani H, de Verdier MC, Al-Rubaiey S, Armindo RD, Ashraf K, Asla MM, Badawy M, Bisschop J, Lomer NB, Bukatz J, Chen J, Cimflova P, Corr F, Crawley A, Deptula L, Elakhdar T, Shawali IH, Faghani S, Frick A, Gulati V, Haider MA, Hierro F, Dahl RH, Jacobs SM, Hsieh KJ, Kandemirli SG, Kersting K, Kida L, Kollia S, Koukoulithras I, Li X, Abouelatta A, Mansour A, Maria-Zamfirescu RC, Marsiglia M, Mateo-Camacho YS, McArthur M, McDonnell O, McHugh M, Moassefi M, Morsi SM, Munteanu A, Nandolia KK, Naqvi SR, Nikanpour Y, Alnoury M, Nouh AMA, Pappafava F, Patel MD, Petrucci S, Rawie E, Raymond S, Roohani B, Sabouhi S, Sanchez-Garcia LM, Shaked Z, Suthar PP, Altes T, Isufi E, Dhemesh Y, Gass J, Thacker J, Tarabishy AR, Turner B, Vacca S, Vilanilam GK, Warren D, Weiss D, Worede F, Yousry S, Lerebo W, Aristizabal A, Karargyris A, Kassem H, Pati S, Sheller M, Link KEE, Calabrese E, Tahon NH, Nada A, Velichko YS, Bakas S, Rudie JD, Aboian M
Cerebral Air Embolism Following Catheter Ablation for Atrial Fibrillation.
Millán Sandoval JP, Dufort G, Letourneau-Guillon L, Liberman M, Odier C
Artificial Intelligence Applications for Workflow, Process Optimization and Predictive Analytics.
Letourneau-Guillon L, Camirand D, Guilbert F, Forghani R
A cadaver pilot study to evaluate the impact of the needle bevel orientation on the ease of paravertebral catheter insertion.
Roy M, Robin F, Grabs D, Letourneau-Guillon L, Ruel M, Girard F, Garneau S
Pseudo-Chemical Meningitis and the Malignant Transformation of an Epidermoid Cyst.
Demuth S, Lasry DE, Obaid S, Letourneau-Guillon L, Chassé M, Bélanger K, Berthelet F, Bojanowski MW, Keezer MR
Cystic masses of the lateral neck: Diagnostic value comparison between fine-needle aspiration, core-needle biopsy, and frozen section.
Tabet P, Saydy N, Letourneau-Guillon L, Gologan O, Bissada É, Ayad T, Tabet JC, Guertin L, Nguyen-Tan PF, Christopoulos A
Atypical presentation of Eagle syndrome with hypoglossal nerve palsy and Horner syndrome.
Bensoussan Y, Letourneau-Guillon L, Ayad T
Embolization of pulmonary arteriovenous malformations with amplatzer vascular plugs: safety and midterm effectiveness.
Letourneau-Guillon L, Faughnan ME, Soulez G, Giroux MF, Oliva VL, Boucher LM, Dubois J, Prabhudesai V, Therasse E
Enhancing Robustness in Non-Contrast CT Image Analysis for Stroke: Application to Intracerebral Hemorrhage Outcome Prediction
Principal investigators: Létourneau Guillon, Laurent; Aviv, Richard; Ben Ayed, Ismail; Dolz, Jose; Gioia, Laura C
Keywords: Artificial Intelligence; Intracerebral Hemorrhage; Outcome Prediction; Segmentation; Stroke
Artificial intelligence-based Development and Validation of a New Approach to Predict Efficacy of Treatment for Surgical Head and Neck Squamous Cell Carcinoma using Multi-omics (ADVANCE)
Principal investigators: Bahig, Houda
Keywords: Artificial Intelligence; Genomics; Head And Neck Cancer; Immunotherapy; Multi-Omic; Oncology; Precision; Radiomics; Radiotherapy; Surgery
Peripheral and CNS inflammation and injury profiles in children with Tuberous Sclerosis Complex and their association with neurological disability and treatment with mTOR inhibitors: a multicentre, longitudinal study cohort.
Principal investigators: Keezer, Mark; House, Andrew A; Larochelle, Catherine; Major, Philippe; Nabavi Nouri, Maryam; Sham, Lauren
Keywords: Biomarkers; Epilepsy; Genetics; Immune System; Intellectual Disability; Tuberous Sclerosis Complex
EASI-TOC: Endovascular Acute Stroke Intervention-Tandem OCclusion: atrial of acute cervical internal carotid artery stenting during endovascularthrombectomy for anterior circulation stroke
Principal investigators: Poppe, Alexandre Y
Keywords: Acute Ischemic Stroke; Carotid Stenosis; Carotid Stenting; Endovascular Therapy; Randomized Controlled Trial; Thrombectomy
Large reductions in arterial CARbon dioxide and development of acute Brain Injury in invasively mechanically ventilated patients with acute respiratory failure (CARBI)
Principal investigators: Cavayas, Yiorgos Alexandros; Carrier, François M; Fan, Eddy; Schnitzer, Mireille E
Keywords: Acute Brain Injury; Carbon Dioxide; Cerebrovascular Reactivity; Cognitive Impairement; Critical Care; Delirium; Invaisve Mechanical Ventilation; Paco2
Prize - 202109PJT - Artificial Intelligence to Monitor Radiotherapy Efficacy and Complications through Imaging Technology (AI-REACT)
Principal investigators: Bahig, Houda
Keywords: Artificial Intelligence; Cancer Control; Delta-Radiomics; Head And Neck Cancer; Machine Learning; Prediction; Toxicity
Artificial Intelligence to Monitor Radiotherapy Efficacy and Complications through Imaging Technology (AI-REACT)
Principal investigators: Bahig, Houda
Keywords: Artificial Intelligence; Cancer Control; Delta-Radiomics; Head And Neck Cancer; Machine Learning; Prediction; Toxicity
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
- Radiologie
- Radiology and Nuclear Medicine
- Mechanical Engineering
- Diagnostic Radiology and Nuclear Medicine
Co-authors at Université de Montréal, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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