Mark Schiffman

According to our database, Mark Schiffman authored at least 14 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Conformal Prediction and Monte Carlo Inference for Addressing Uncertainty in Cervical Cancer Screening.

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

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024

2022

Improving the repeatability of deep learning models with Monte Carlo dropout.

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

npj Digit. Medicine, 2022

Image Quality Classification for Automated Visual Evaluation of Cervical Precancer.

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

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

2021

Monte Carlo dropout increases model repeatability.

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

CoRR, 2021

Deep multiple-instance learning for abnormal cell detection in cervical histopathology images.

Anabik Pal, Zhiyun Xue, Kanan T. Desai, Adekunbiola Aina F. Banjo, Clement Akinfolarin Adepiti, L. Rodney Long, Mark Schiffman, Sameer K. Antani

Comput. Biol. Medicine, 2021

Deep Metric Learning for Cervical Image Classification.

Anabik Pal, Zhiyun Xue, Brian Befano, Ana Cecilia Rodriguez, L. Rodney Long, Mark Schiffman, Sameer K. Antani

IEEE Access, 2021

Cleaning Highly Unbalanced Multisource Image Dataset for Quality Control in Cervical Precancer Screening.

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

Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2021

Image Augmentation for Improving Automated Eligibility-Classification for Cervical Precancer Ablation Treatment.

Peng Guo, Zhiyun Xue, Jose Jeronimo, Julia C. Gage, Kanan T. Desai, Brian Befano, Francisco García, Mark Schiffman, Sameer K. Antani

Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2021

A Deep Clustering Method For Analyzing Uterine Cervix Images Across Imaging Devices.

Zhiyun Xue, Peng Guo, Kanan T. Desai, Anabik Pal, Kayode O. Ajenifuja, Clement Akinfolarin Adepiti, L. Rodney Long, Mark Schiffman, Sameer K. Antani

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2019

Viral coinfection analysis using a MinHash toolkit.

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

BMC Bioinform., 2019

2006

Technology for Medical Education, Research, and Disease Screening by Exploitation of Biomarkers in a Large Collection of Uterine Cervix Images.

L. Rodney Long, Sameer K. Antani, Jose Jeronimo, Mark Schiffman, Mike Bopf, Leif Neve, Carl Cornwell, Scott R. Budihas, George R. Thoma

Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

2004

A multispectral digital Cervigram analyzer in the wavelet domain for early detection of cervical cancer.

Shuyu Yang, Jiangling Guo, Philip S. King, Y. Sriraja, Sunanda Mitra, Brian Nutter, Daron Ferris, Mark Schiffman, Jose Jeronimo, L. Rodney Long

Proceedings of the Medical Imaging 2004: Image Processing, 2004

A Tool for Collection of Region Based Data from Uterine Cervix Images for Correlation of Visual and Clinical Variables Related to Cervical Neoplasia.

Jose Jeronimo, Mark Schiffman, L. Rodney Long, Leif Neve, Sameer K. Antani

Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems (CBMS 2004), 2004

An Architecture for Streamlining the Implementation of Biomedical Text/Image Databases on the Web.

Mike Bopf, Tina Coleman, L. Rodney Long, Sameer K. Antani, George R. Thoma, Jose Jeronimo, Mark Schiffman

Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems (CBMS 2004), 2004