Mark Schiffman

According to our database1, Mark Schiffman authored at least 13 papers between 2004 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2022
Improving the repeatability of deep learning models with Monte Carlo dropout.
npj Digit. Medicine, 2022


2021
Monte Carlo dropout increases model repeatability.
CoRR, 2021

Deep multiple-instance learning for abnormal cell detection in cervical histopathology images.
Comput. Biol. Medicine, 2021

Deep Metric Learning for Cervical Image Classification.
IEEE Access, 2021

Cleaning Highly Unbalanced Multisource Image Dataset for Quality Control in Cervical Precancer Screening.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2021

Image Augmentation for Improving Automated Eligibility-Classification for Cervical Precancer Ablation Treatment.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2021

A Deep Clustering Method For Analyzing Uterine Cervix Images Across Imaging Devices.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2019
Viral coinfection analysis using a MinHash toolkit.
BMC Bioinform., 2019

2006
Technology for Medical Education, Research, and Disease Screening by Exploitation of Biomarkers in a Large Collection of Uterine Cervix Images.
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.
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.
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.
Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems (CBMS 2004), 2004


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