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2020 – today
- 2024
[c3]Christopher Clark, Scott Kinder, Didem Egemen, Brian Befano, Kanan T. Desai, Syed Rakin Ahmed, Praveer Singh, Ana Cecilia Rodriguez, Jose Jeronimo, Silvia De Sanjosé, Nicolas Wentzensen, Mark Schiffman, Jayashree Kalpathy-Cramer:
Conformal Prediction and Monte Carlo Inference for Addressing Uncertainty in Cervical Cancer Screening. UNSURE@MICCAI 2024: 205-214- 2022
- [j1]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) - [c2]Zhiyun Xue, Sandeep Angara, Peng Guo, Sivaramakrishnan Rajaraman, Jose Jeronimo, Ana Cecilia Rodriguez, Karla Alfaro, Kittipat Charoenkwan, Chemtai Mungo, Joel Fokom Domgue, Nicolas Wentzensen, Kanan T. Desai, Olusegun Kayode Ajenifuja, Elisabeth Wikstrom, Brian Befano, Silvia De Sanjosé, Mark Schiffman, Sameer K. Antani:
Image Quality Classification for Automated Visual Evaluation of Cervical Precancer. MILLanD@MICCAI 2022: 206-217 - [i1]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 abs/2202.07562 (2022) - 2021
- [c1]Zhiyun Xue, Peng Guo, Sandeep Angara, Anabik Pal, Jose Jeronimo, Kanan T. Desai, Olusegun Kayode Ajenifuja, Clement Akinfolarin Adepiti, Silvia De Sanjosé, Mark Schiffman, Sameer K. Antani:
Cleaning Highly Unbalanced Multisource Image Dataset for Quality Control in Cervical Precancer Screening. RTIP2R 2021: 3-13
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