Anne L. Martel
twitter.com
0000-0003-1375-5501
University of Toronto
146 papers found
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Intensity augmentation to improve generalizability of breast segmentation across different MRI scan protocols
CAD and Machine Learning for Breast MRI
Co-registered Cardiac ex vivo DT Images and Histological Images for Fibrosis Quantification
Metastatic Vertebrae Segmentation for Use in a Clinical Pipeline
Preface
Sample-Size Determination Methodologies for Machine Learning in Medical Imaging Research: A Systematic Review
Hippocampal segmentation for brains with extensive atrophy using three‐dimensional convolutional neural networks
Automated and Manual Quantification of Tumour Cellularity in Digital Slides for Tumour Burden Assessment
Use of convolutional neural networks to predict risk of masking by mammographic density
An investigation of the effect of fat suppression and dimensionality on the accuracy of breast MRI segmentation using U-nets
Multi-layer Domain Adaptation for Deep Convolutional Networks
Automated Segmentation of DCIS in Whole Slide Images
Unsupervised Clustering of Quantitative Imaging Phenotypes Using Autoencoder and Gaussian Mixture Model
Assessment of Residual Breast Cancer Cellularity after Neoadjuvant Chemotherapy using Digital Pathology
A graph-based lesion characterization and deep embedding approach for improved computer-aided diagnosis of nonmass breast MRI lesions
Prediction of spontaneous preterm birth among twin gestations using machine learning and texture analysis of cervical ultrasound images
Cluster-Based Learning from Weakly Labeled Bags in Digital Pathology
Serum‐derived carcinoembryonic antigen (CEA) activates fibroblasts to induce a local re‐modeling of the extracellular matrix that favors the engraftment of CEA‐expressing tumor cells
A Cluster-then-label Semi-supervised Learning Approach for Pathology Image Classification
Deformable Registration for Longitudinal Breast MRI Screening
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