Peter R. Mouton

Orcid: 0000-0002-1008-4055

According to our database1, Peter R. Mouton authored at least 22 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
A Review of Nuclei Detection and Segmentation on Microscopy Images Using Deep Learning With Applications to Unbiased Stereology Counting.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Accurate Neonatal Face Detection for Improved Pain Classification in the Challenging NICU Setting.
IEEE Access, 2024

Repeatability of Fine-Tuning Large Language Models Illustrated Using QLoRA.
IEEE Access, 2024

Active Prompting of Vision Language Models for Human-in-the-loop Classification and Explanation of Microscopy Images.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

Enhancing Concept-Based Explanation with Vision-Language Models.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

2023
MIMO YOLO - A Multiple Input Multiple Output Model for Automatic Cell Counting.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Enhancing Neonatal Pain Assessment Transparency via Explanatory Training Examples Identification.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022
Classification of global microglia proliferation based on deep learning with local images.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2020
Challenges for the Repeatability of Deep Learning Models.
IEEE Access, 2020

2019
Automatic Cell Counting using Active Deep Learning and Unbiased Stereology.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2018
A New Cervical Cytology Dataset for Nucleus Detection and Image Classification (Cervix93) and Methods for Cervical Nucleus Detection.
CoRR, 2018

Iterative Deep Learning Based Unbiased Stereology with Human-in-the-Loop.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017
A framework for nucleus and overlapping cytoplasm segmentation in cervical cytology extended depth of field and volume images.
Comput. Medical Imaging Graph., 2017

2016
Nucleus segmentation in histology images with hierarchical multilevel thresholding.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016

A new approach to detect and segment overlapping cells in multi-layer cervical cell volume images.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Automatic quantification and classification of cervical cancer via Adaptive Nucleus Shape Modeling.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2014
Experiments with large ensembles for segmentation and classification of cervical cancer biopsy images.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

2013
An Ensemble Algorithm Framework for Automated Stereology of Cervical Cancer.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

2012
A novel algorithm for automated counting of stained cells on thick tissue sections.
Proceedings of CBMS 2012, 2012

2011
Automatic location of microscopic focal planes for computerized stereology.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Toward automated quantification of biological microstructures using unbiased stereology.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011


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