Anne L. Martel

Orcid: 0000-0003-1375-5501

Affiliations:
  • University of Toronto, Department of Medical BioPhysics, Canada


According to our database1, Anne L. Martel authored at least 74 papers between 1999 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI.
NeuroImage, September, 2023

VertDetect: Fully End-to-End 3D Vertebral Instance Segmentation Model.
CoRR, 2023

Cross-Validation Is All You Need: A Statistical Approach To Label Noise Estimation.
CoRR, 2023

Understanding metric-related pitfalls in image analysis validation.
CoRR, 2023

Masked Image Modeling for Label-Efficient Segmentation in Two-Photon Excitation Microscopy.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

Self Supervised Multi-view Graph Representation Learning in Digital Pathology.
Proceedings of the Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology, 2023

2022
Self-supervised driven consistency training for annotation efficient histopathology image analysis.
Medical Image Anal., 2022

BI-RADS BERT and Using Section Segmentation to Understand Radiology Reports.
J. Imaging, 2022

Biomedical image analysis competitions: The state of current participation practice.
CoRR, 2022

Metrics reloaded: Pitfalls and recommendations for image analysis validation.
CoRR, 2022

Metastatic Cancer Outcome Prediction with Injective Multiple Instance Pooling.
CoRR, 2022

Head and Neck Tumor Segmentation with 3D UNet and Survival Prediction with Multiple Instance Neural Network.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

2021
Intensity Augmentation to Improve Generalizability of Breast Segmentation Across Different MRI Scan Protocols.
IEEE Trans. Biomed. Eng., 2021

Deep neural network models for computational histopathology: A survey.
Medical Image Anal., 2021

Loss odyssey in medical image segmentation.
Medical Image Anal., 2021

Learning to segment images with classification labels.
Medical Image Anal., 2021

BI-RADS BERT & Using Section Tokenization to Understand Radiology Reports.
CoRR, 2021

IJCARS: MICCAI 2020 special issue.
Int. J. Comput. Assist. Radiol. Surg., 2021

AMINN: Autoencoder-Based Multiple Instance Neural Network Improves Outcome Prediction in Multifocal Liver Metastases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
BIAS: Transparent reporting of biomedical image analysis challenges.
Medical Image Anal., 2020

AMINN: Autoencoder-based Multiple Instance Neural Network for Outcome Prediction of Multifocal Liver Metastases.
CoRR, 2020

Overcoming the limitations of patch-based learning to detect cancer in whole slide images.
CoRR, 2020

Self supervised contrastive learning for digital histopathology.
CoRR, 2020

2019
A graph-based lesion characterization and deep embedding approach for improved computer-aided diagnosis of nonmass breast MRI lesions.
Medical Image Anal., 2019

Intensity augmentation for domain transfer of whole breast segmentation in MRI.
CoRR, 2019

The transition module: a method for preventing overfitting in convolutional neural networks.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019

Co-registered Cardiac ex vivo DT Images and Histological Images for Fibrosis Quantification.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

Metastatic Vertebrae Segmentation for Use in a Clinical Pipeline.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019

Multi-layer Domain Adaptation for Deep Convolutional Networks.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

Unsupervised Clustering of Quantitative Imaging Phenotypes Using Autoencoder and Gaussian Mixture Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Use of convolutional neural networks to predict risk of masking by mammographic density.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Automated Segmentation of DCIS in Whole Slide Images.
Proceedings of the Digital Pathology - 15th European Congress, 2019

2018
Deformable Registration for Longitudinal Breast MRI Screening.
J. Digit. Imaging, 2018

Cluster-Based Learning from Weakly Labeled Bags in Digital Pathology.
CoRR, 2018

Localization and classification of cell nuclei in post-neoadjuvant breast cancer surgical specimen using fully convolutional networks.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Determining tumor cellularity in digital slides using ResNet.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

2017
Motion Corruption Detection in Breast DCE-MRI.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Transitioning Between Convolutional and Fully Connected Layers in Neural Networks.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

2016
Triaging Diagnostically Relevant Regions from Pathology Whole Slides of Breast Cancer: A Texture Based Approach.
IEEE Trans. Medical Imaging, 2016

A Metric for Reducing False Positives in the Computer-Aided Detection of Breast Cancer from Dynamic Contrast-Enhanced Magnetic Resonance Imaging Based Screening Examinations of High-Risk Women.
J. Digit. Imaging, 2016

Interpreting extracted rules from ensemble of trees: Application to computer-aided diagnosis of breast MRI.
CoRR, 2016

Breast segmentation in MRI using Poisson surface reconstruction initialized with random forest edge detection.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Automatic cell detection and segmentation from H and E stained pathology slides using colorspace decorrelation stretching.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016

Automated metastatic brain lesion detection: a computer aided diagnostic and clinical research tool.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

2015
Automated Segmentation of Breast in 3-D MR Images Using a Robust Atlas.
IEEE Trans. Medical Imaging, 2015

Clustering Analysis for Semi-supervised Learning Improves Classification Performance of Digital Pathology.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

2014
Semi-Automatic Region-of-Interest Segmentation Based Computer-Aided Diagnosis of Mass Lesions from Dynamic Contrast-Enhanced Magnetic Resonance Imaging Based Breast Cancer Screening.
J. Digit. Imaging, 2014

A Vector Machine Formulation with Application to the Computer-Aided Diagnosis of Breast Cancer from DCE-MRI Screening Examinations.
J. Digit. Imaging, 2014

Classification of breast lesions presenting as mass and non-mass lesions.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

2013
Calculation of Intravascular Signal in Dynamic Contrast Enhanced-MRI Using Adaptive Complex Independent Component Analysis.
IEEE Trans. Medical Imaging, 2013

Feature Selection in Computer-Aided Breast Cancer Diagnosis via Dynamic Contrast-Enhanced Magnetic Resonance Images.
J. Digit. Imaging, 2013

A Gauss-Newton approach to joint image registration and intensity correction.
Comput. Methods Programs Biomed., 2013

Using independent components analysis to calculate intravascular contrast agent concentration in prostate cancer.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
A constrained independent component analysis technique for artery-vein separation of two-photon laser scanning microscopy images of the cerebral microvasculature.
Medical Image Anal., 2012

Editorial for the MEDIA Special Issue on MICCAI 2011.
Medical Image Anal., 2012

An adaptive complex independent component analysis to analyze dynamic contrast enhanced-MRI.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Increasing specimen coverage using digital whole-mount breast pathology: Implementation, clinical feasibility and application in research.
Comput. Medical Imaging Graph., 2011

Validation of histology image registration.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Automatic model-based 3D segmentation of the breast in MRI.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Automatic mask generation using independent component analysis in dynamic contrast enhanced-MRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Image registration for abdominal dynamic contrast-enhanced magnetic resonance images.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Multi-Modality fiducial marker for validation of registration of medical images with histology.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

2009
A General PDE-Framework for Registration of Contrast Enhanced Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Image Registration under Varying Illumination: Hyper-Demons Algorithm.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

A PDE Approach to Coupled Super-Resolution with Non-parametric Motion.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

2008
Hepatic Perfusion Imaging Using Factor Analysis of Contrast Enhanced Ultrasound.
IEEE Trans. Medical Imaging, 2008

Classification of Dynamic Contrast-Enhanced Magnetic Resonance Breast Lesions by Support Vector Machines.
IEEE Trans. Medical Imaging, 2008

Can Bilateral Asymmetry Analysis of Breast MR Images Provide Additional Information for Detection of Breast Diseases?
Proceedings of the SIBGRAPI 2008, 2008

2006
A Fast Method of Generating Pharmacokinetic Maps from Dynamic Contrast-Enhanced Images of the Breast.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Data Weighting for Principal Component Noise Reduction in Contrast Enhanced Ultrasound.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Piecewise-Quadrilateral Registration by Optical Flow - Applications in Contrast-Enhanced MR Imaging of the Breast.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

2001
Extracting parametric images from dynamic contrast-enhanced MRI studies of the brain using factor analysis.
Medical Image Anal., 2001

1999
Measurement of Infarct Volume in Stroke Patients Using Adaptive Segmentation of Diffusion Weighted MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999


  Loading...