Andréanne Lemay

18 papers A* 1B 1Journal 15Unranked 1

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