Image biomarker standardisation initiative - feature definitions. - Alex Zwanenburg; Stefan Leger; Martin Vallières; Steffen Löck (CoRR, 2016)

Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer. - Martin Vallières; Emily Kay-Rivest; Léo Jean Perrin; Xavier Liem; Christophe Furstoss; Hugo J. W. L. Aerts; Nader Khaouam; Phuc Felix Nguyen-Tan; Chang-Shu Wang; Khalil Sultanem; Jan Seuntjens; Issam El-Naqa (CoRR, 2017)

Publishing Linked and FAIR-compliant Radiomics Data in Radiation Oncology via Ontologies and Semantic Web Techniques. - Alberto Traverso; Martin Vallières; Johan van Soest; Leonard Wee; Olivier Morin; Andre Dekker (SWAT4HCLS, 2019)

Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT. - Vincent Andrearczyk; Valentin Oreiller; Mario Jreige; Martin Vallières; Joël Castelli; Hesham Elhalawani; Sarah Boughdad; John O. Prior; Adrien Depeursinge (HECKTOR@MICCAI, 2020)

Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans. - Vincent Andrearczyk; Valentin Oreiller; Martin Vallières; Joël Castelli; Hesham Elhalawani; Mario Jreige; Sarah Boughdad; John O. Prior; Adrien Depeursinge (MIDL, 2020)

Standardised convolutional filtering for radiomics. - Adrien Depeursinge; Vincent Andrearczyk; Philip Whybra; Joost van Griethuysen; Henning Müller; Roger Schaer; Martin Vallières; Alex Zwanenburg (CoRR, 2020)

Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images. - Vincent Andrearczyk; Valentin Oreiller; Sarah Boughdad; Catherine Cheze Le Rest; Hesham Elhalawani; Mario Jreige; John O. Prior; Martin Vallières; Dimitris Visvikis; Mathieu Hatt; Adrien Depeursinge (HECKTOR@MICCAI, 2021)

Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. - Vincent Andrearczyk; Valentin Oreiller; Moamen Abobakr; Azadeh Akhavanallaf; Panagiotis Balermpas; Sarah Boughdad; Leo Capriotti; Joël Castelli; Catherine Cheze Le Rest; Pierre Decazes; Ricardo Correia 006; Dina El-Habashy; et al. (HECKTOR@MICCAI, 2022)

Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. - Valentin Oreiller; Vincent Andrearczyk; Mario Jreige; Sarah Boughdad; Hesham Elhalawani; Joël Castelli; Martin Vallières; Simeng Zhu; Juanying Xie; Ying Peng; Andrei Iantsen; Mathieu Hatt; et al. (Medical Image Anal., 2022)

Electric Power Fuse Identification With Deep Learning. - Simon Giard-Leroux; Guillaume Cléroux; Shreyas Sunil Kulkarni; François Bouffard; Martin Vallières (IEEE Trans. Ind. Informatics, 2023)

Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge. - Vincent Andrearczyk; Valentin Oreiller; Sarah Boughdad; Catherine Cheze Le Rest; Olena Tankyevych; Hesham Elhalawani; Mario Jreige; John O. Prior; Martin Vallières; Dimitris Visvikis; Mathieu Hatt; Adrien Depeursinge (Medical Image Anal., 2023)

Development of Error Passing Network for Optimizing the Prediction of VO2 peak in Childhood Acute Leukemia Survivors. - Nicolas Raymond; Hakima Laribi; Maxime Caru; Mehdi Mitiche; Valérie Marcil; Maja Krajinovic; Daniel Curnier; Daniel Sinnett; Martin Vallières (CHIL, 2024)

Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling. - Mahdi Ait Lhaj Loutfi; Teodora Boblea Podasca; Alex Zwanenburg; Taman Upadhaya; Jorge Barrios; David R. Raleigh; William C. Chen; Dante P. I. Capaldi; Hong Zheng; Olivier Gevaert; Jing Wu; Alvin C. Silva; et al. (CoRR, 2024)

Leveraging patients' longitudinal data to improve the Hospital One-year Mortality Risk. - Hakima Laribi; Nicolas Raymond; Ryeyan Taseen; Dan Poenaru; Martin Vallières (Health Inf. Sci. Syst., 2025)