Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Label fusion and training methods for reliable representation of inter-rater uncertainty


Feb 26, 2022
Andreanne Lemay, Charley Gros, Julien Cohen-Adad

Add code


   Access Paper or Ask Questions

Improving the repeatability of deep learning models with Monte Carlo dropout


Feb 15, 2022
Andreanne Lemay, Katharina Hoebel, Christopher P. Bridge, Brian Befano, Silvia De Sanjosé, Diden Egemen, Ana Cecilia Rodriguez, Mark Schiffman, John Peter Campbell, Jayashree Kalpathy-Cramer

Add code

* arXiv admin note: text overlap with arXiv:2111.06754 

   Access Paper or Ask Questions

Monte Carlo dropout increases model repeatability


Nov 12, 2021
Andreanne Lemay, Katharina Hoebel, Christopher P. Bridge, Didem Egemen, Ana Cecilia Rodriguez, Mark Schiffman, John Peter Campbell, Jayashree Kalpathy-Cramer

Add code

* Machine Learning for Health (ML4H) at NeurIPS 2021 - Extended Abstract 

   Access Paper or Ask Questions

Fair Conformal Predictors for Applications in Medical Imaging


Sep 09, 2021
Charles Lu, Andreanne Lemay, Ken Chang, Katharina Hoebel, Jayashree Kalpathy-Cramer

Add code


   Access Paper or Ask Questions

Evaluating subgroup disparity using epistemic uncertainty in mammography


Jul 15, 2021
Charles Lu, Andreanne Lemay, Katharina Hoebel, Jayashree Kalpathy-Cramer

Add code

* Accepted to the Interpretable Machine Learning in Healthcare workshop at the ICML 2021 conference 

   Access Paper or Ask Questions

Benefits of Linear Conditioning for Segmentation using Metadata


Feb 18, 2021
Andreanne Lemay, Charley Gros, Olivier Vincent, Yaou Liu, Joseph Paul Cohen, Julien Cohen-Adad

Add code


   Access Paper or Ask Questions

Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning


Jan 14, 2021
Andreanne Lemay, Charley Gros, Zhizheng Zhuo, Jie Zhang, Yunyun Duan, Julien Cohen-Adad, Yaou Liu

Add code


   Access Paper or Ask Questions

1
2
>>