Andréanne Lemay

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 18

Top Topics

Segmented Images

Image Segmentation

Top Venues

Medical Image Anal.

npj Digit. Medicine

Publications

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
A generalized framework to predict continuous scores from medical ordinal labels. CoRR (2023)
Charles Lu, Andréanne Lemay, Ken Chang, Katharina Höbel, Jayashree Kalpathy-Cramer
Fair Conformal Predictors for Applications in Medical Imaging. AAAI (2022)
Katharina Hoebel, Christopher P. Bridge, Andréanne Lemay, Ken Chang, Jay B. Patel, Bruce Rosen, Jayashree Kalpathy-Cramer
Do I know this? segmentation uncertainty under domain shift. Medical Imaging: Image Processing (2022)
Andréanne Lemay, Charley Gros, Julien Cohen-Adad
Label fusion and training methods for reliable representation of inter-rater uncertainty. CoRR (2022)
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
Improving the repeatability of deep learning models with Monte Carlo dropout. npj Digit. Medicine 5 (2022)
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
Improving the repeatability of deep learning models with Monte Carlo dropout. CoRR (2022)
Andréanne Lemay, Katharina Hoebel, Christopher P. Bridge, Didem Egemen, Ana Cecilia Rodriguez, Mark Schiffman, John Peter Campbell, Jayashree Kalpathy-Cramer
Monte Carlo dropout increases model repeatability. CoRR (2021)
Charley Gros, Andréanne Lemay, Julien Cohen-Adad
SoftSeg: Advantages of soft versus binary training for image segmentation. Medical Image Anal. 71 (2021)
Charles Lu, Andréanne Lemay, Ken Chang, Katharina Hoebel, Jayashree Kalpathy-Cramer
Fair Conformal Predictors for Applications in Medical Imaging. CoRR (2021)
Andréanne Lemay, Charley Gros, Olivier Vincent, Yaou Liu, Joseph Paul Cohen, Julien Cohen-Adad
Benefits of Linear Conditioning for Segmentation using Metadata. CoRR (2021)
Andréanne Lemay, Charley Gros, Olivier Vincent, Yaou Liu, Joseph Paul Cohen, Julien Cohen-Adad
Benefits of Linear Conditioning for Segmentation using Metadata. MIDL (2021)
Charles Lu, Andréanne Lemay, Katharina Hoebel, Jayashree Kalpathy-Cramer
Evaluating subgroup disparity using epistemic uncertainty in mammography. CoRR (2021)
Uzay Macar, Enamundram Naga Karthik, Charley Gros, Andréanne Lemay, Julien Cohen-Adad
Team NeuroPoly: Description of the Pipelines for the MICCAI 2021 MS New Lesions Segmentation Challenge. CoRR (2021)
Charley Gros, Andréanne Lemay, Olivier Vincent, Lucas Rouhier, Marie-Helene Bourget, Anthime Bucquet, Joseph Paul Cohen, Julien Cohen-Adad
ivadomed: A Medical Imaging Deep Learning Toolbox. J. Open Source Softw. 6 (58) (2021)
Andréanne Lemay, Charley Gros, Zhizheng Zhuo, Jie Zhang, Yunyun Duan, Julien Cohen-Adad, Yaou Liu
Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning. CoRR (2020)
Charley Gros, Andréanne Lemay, Olivier Vincent, Lucas Rouhier, Anthime Bucquet, Joseph Paul Cohen, Julien Cohen-Adad
ivadomed: A Medical Imaging Deep Learning Toolbox. CoRR (2020)
Charley Gros, Andréanne Lemay, Julien Cohen-Adad
SoftSeg: Advantages of soft versus binary training for image segmentation. CoRR (2020)
Andréanne Lemay
Kidney Recognition in CT Using YOLOv3. CoRR (2019)