Mark Schiffman

15 papers B 5Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2024 — conf
Conformal Prediction and Monte Carlo Inference for Addressing Uncertainty in Cervical Cancer Screening.
UNSURE@MICCAI
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
2022 — conf
Image Quality Classification for Automated Visual Evaluation of Cervical Precancer.
MILLanD@MICCAI
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
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
2021 B conf
A Deep Clustering Method For Analyzing Uterine Cervix Images Across Imaging Devices.
CBMS
Zhiyun Xue, Peng Guo, Kanan T. Desai, Anabik Pal, Kayode O. Ajenifuja, Clement Akinfolarin Adepiti, L. Rodney Long, Mark Schiffman, Sameer K. Antani
2021 — conf
Cleaning Highly Unbalanced Multisource Image Dataset for Quality Control in Cervical Precancer Screening.
RTIP2R
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
2021 J jnl
Deep Metric Learning for Cervical Image Classification.
IEEE Access
Anabik Pal, Zhiyun Xue, Brian Befano, Ana Cecilia Rodriguez, L. Rodney Long, Mark Schiffman, Sameer K. Antani
2021 J jnl
Deep multiple-instance learning for abnormal cell detection in cervical histopathology images.
Comput. Biol. Medicine
Anabik Pal, Zhiyun Xue, Kanan T. Desai, Adekunbiola Aina F. Banjo, Clement Akinfolarin Adepiti, L. Rodney Long, Mark Schiffman, Sameer K. Antani
2021 — conf
Image Augmentation for Improving Automated Eligibility-Classification for Cervical Precancer Ablation Treatment.
RTIP2R
Peng Guo, Zhiyun Xue, Jose Jeronimo, Julia C. Gage, Kanan T. Desai, Brian Befano, Francisco García, Mark Schiffman, Sameer K. Antani
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
2019 J jnl
Viral coinfection analysis using a MinHash toolkit.
BMC Bioinform.
Eric T. Dawson, Sarah Wagner, David Roberson, Meredith Yeager, Joseph Boland, Erik Garrison, Stephen J. Chanock, Mark Schiffman, Tina Raine-Bennett, Thomas Lorey, Phillip E. Castle, Lisa Mirabello, Richard Durbin
2006 B conf
Technology for Medical Education, Research, and Disease Screening by Exploitation of Biomarkers in a Large Collection of Uterine Cervix Images.
CBMS
L. Rodney Long, Sameer K. Antani, Jose Jeronimo, Mark Schiffman, Mike Bopf, Leif Neve, Carl Cornwell, Scott R. Budihas, George R. Thoma
2004 B conf
A Tool for Collection of Region Based Data from Uterine Cervix Images for Correlation of Visual and Clinical Variables Related to Cervical Neoplasia.
CBMS
Jose Jeronimo, Mark Schiffman, L. Rodney Long, Leif Neve, Sameer K. Antani
2004 B conf
A multispectral digital Cervigram analyzer in the wavelet domain for early detection of cervical cancer.
Image Processing
Shuyu Yang, Jiangling Guo, Philip S. King, Y. Sriraja, Sunanda Mitra, Brian Nutter, Daron Ferris, Mark Schiffman, Jose Jeronimo, L. Rodney Long
2004 B conf
An Architecture for Streamlining the Implementation of Biomedical Text/Image Databases on the Web.
CBMS
Mike Bopf, Tina Coleman, L. Rodney Long, Sameer K. Antani, George R. Thoma, Jose Jeronimo, Mark Schiffman