Patrick Leo

Orcid: 0000-0002-2248-0610

According to our database1, Patrick Leo authored at least 13 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Automatic myeloblast segmentation in acute myeloid leukemia images based on adversarial feature learning.
Comput. Methods Programs Biomed., January, 2024

2022
Novel Radiomic Measurements of Tumor- Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers.
CoRR, 2022

2021
Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers.
Medical Image Anal., 2021

SPARTA: An Integrated Stability, Discriminability, and Sparsity Based Radiomic Feature Selection Approach.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Texture features distinguish benign cell clusters from adenocarcinomas on bile duct brushing cytology images.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

Three-dimensional histo-morphometric features from light sheet microscopy images result in improved discrimination of benign from malignant glands in prostate cancer.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

Computer extracted features related to the spatial arrangement of tumor-infiltrating lymphocytes predict overall survival in epithelial ovarian cancer receiving adjuvant chemotherapy.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

Computationally derived cytological image markers for predicting risk of relapse in acute myeloid leukemia patients following bone marrow transplantation.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

2019
Radiomic features derived from pre-operative multi-parametric MRI of prostate cancer are associated with Decipher risk score.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018
Combination of nuclear NF-κB/p65 localization and gland morphological features from surgical specimens appears to be predictive of early biochemical recurrence in prostate cancer patients.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2016
Evaluating stability of histomorphometric features across scanner and staining variations: predicting biochemical recurrence from prostate cancer whole slide images.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016


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