Kidney Recognition in CT Using YOLOv3. - Andréanne Lemay (CoRR, 2019)

ivadomed: A Medical Imaging Deep Learning Toolbox. - Charley Gros; Andréanne Lemay; Olivier Vincent; Lucas Rouhier; Anthime Bucquet; Joseph Paul Cohen; Julien Cohen-Adad (CoRR, 2020)

Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning. - Andréanne Lemay; Charley Gros; Zhizheng Zhuo; Jie Zhang; Yunyun Duan; Julien Cohen-Adad; Yaou Liu (CoRR, 2020)

Benefits of Linear Conditioning for Segmentation using Metadata. - Andréanne Lemay; Charley Gros; Olivier Vincent; Yaou Liu; Joseph Paul Cohen; Julien Cohen-Adad (MIDL, 2021)

Evaluating subgroup disparity using epistemic uncertainty in mammography. - Charles Lu 001; Andréanne Lemay; Katharina Hoebel; Jayashree Kalpathy-Cramer (CoRR, 2021)

Team NeuroPoly: Description of the Pipelines for the MICCAI 2021 MS New Lesions Segmentation Challenge. - Uzay Macar; Enamundram Naga Karthik; Charley Gros; Andréanne Lemay; Julien Cohen-Adad (CoRR, 2021)

Monte Carlo dropout increases model repeatability. - Andréanne Lemay; Katharina Hoebel; Christopher P. Bridge; Didem Egemen; Ana Cecilia Rodriguez; Mark Schiffman; John Peter Campbell; Jayashree Kalpathy-Cramer (CoRR, 2021)

ivadomed: A Medical Imaging Deep Learning Toolbox. - Charley Gros; Andréanne Lemay; Olivier Vincent; Lucas Rouhier; Marie-Hélène Bourget; Anthime Bucquet; Joseph Paul Cohen; Julien Cohen-Adad (J. Open Source Softw., 2021)

SoftSeg: Advantages of soft versus binary training for image segmentation. - Charley Gros; Andréanne Lemay; Julien Cohen-Adad (Medical Image Anal., 2021)

Fair Conformal Predictors for Applications in Medical Imaging. - Charles Lu 001; Andréanne Lemay; Ken Chang; Katharina Höbel; Jayashree Kalpathy-Cramer (AAAI, 2022)

Do I know this? segmentation uncertainty under domain shift. - Katharina Hoebel; Christopher P. Bridge; Andréanne Lemay; Ken Chang; Jay B. Patel; Bruce Rosen 001; Jayashree Kalpathy-Cramer (Image Processing, 2022)

Label fusion and training methods for reliable representation of inter-rater uncertainty. - Andréanne Lemay; Charley Gros; Julien Cohen-Adad (CoRR, 2022)

Improving the repeatability of deep learning models with Monte Carlo dropout. - Andréanne Lemay; Katharina Hoebel; Christopher P. Bridge; Brian Befano; Silvia De Sanjosé; Didem Egemen; Ana Cecilia Rodriguez; Mark Schiffman; John Peter Campbell; Jayashree Kalpathy-Cramer (npj Digit. Medicine, 2022)

A generalized framework to predict continuous scores from medical ordinal labels. - Katharina Viktoria Hoebel; Andréanne Lemay; John Peter Campbell; Susan Ostmo; Michael F. Chiang; Christopher P. Bridge; Matthew D. Li; Praveer Singh; Aaron S. Coyner; Jayashree Kalpathy-Cramer (CoRR, 2023)