Kanan T. Desai

According to our database, Kanan T. Desai authored at least 6 papers between 2021 and 2024.

Collaborative distances:

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

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

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

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

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