Anne Martel

Anne Martel

University of Toronto

H-index: 36

North America-Canada

About Anne Martel

Anne Martel, With an exceptional h-index of 36 and a recent h-index of 25 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Medical Imaging, Machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Understanding metric-related pitfalls in image analysis validation

Metrics reloaded: recommendations for image analysis validation.

VertDetect: Fully End-to-End 3D Vertebral Instance Segmentation Model

A Convolutional Neural Network for Beamforming and Image Reconstruction in Passive Cavitation Imaging

Self Supervised Multi-view Graph Representation Learning in Digital Pathology

Masked Image Modeling for Label-Efficient Segmentation in Two-Photon Excitation Microscopy

Segmentation of Brain Metastases Using Background Layer Statistics (BLAST)

ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI

Anne Martel Information

University

Position

Medical Biophysics, University of Toronto. Physical Sciences, Sunnybrook Research Institute

Citations(all)

6271

Citations(since 2020)

3776

Cited By

3155

hIndex(all)

36

hIndex(since 2020)

25

i10Index(all)

96

i10Index(since 2020)

65

Email

University Profile Page

Google Scholar

Anne Martel Skills & Research Interests

Medical Imaging

Machine learning

Top articles of Anne Martel

VertDetect: Fully End-to-End 3D Vertebral Instance Segmentation Model

arXiv preprint arXiv:2311.09958

2023/11/16

A Convolutional Neural Network for Beamforming and Image Reconstruction in Passive Cavitation Imaging

Sensors

2023/10/27

Self Supervised Multi-view Graph Representation Learning in Digital Pathology

2023/10/8

Masked Image Modeling for Label-Efficient Segmentation in Two-Photon Excitation Microscopy

2023/10/8

Segmentation of Brain Metastases Using Background Layer Statistics (BLAST)

American Journal of Neuroradiology

2023/10/1

ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI

NeuroImage

2023/9/1

Cross-Validation Is All You Need: A Statistical Approach To Label Noise Estimation

arXiv preprint arXiv:2306.13990

2023/6/24

Jianan Chen
Jianan Chen

H-Index: 6

Anne Martel
Anne Martel

H-Index: 17

Targeting tumour-associated macrophages in hodgkin lymphoma using engineered extracellular matrix-mimicking cryogels

Biomaterials

2023/6/1

Ink removal in whole slide images using hallucinated data

2023/4/6

Identification of molecular cell type of breast cancer on digital histopathology images using deep learning and multiplexed fluorescence imaging

2023/4/6

Integrated image-processing and transcriptomic analysis of cancer-associated fibroblasts (CAFs) in breast cancer subtypes

2023/4/6

A radiomic biomarker for prognosis of resected colorectal cancer liver metastases generalizes across MRI contrast agents

Frontiers in Oncology

2023/2/2

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

arXiv. org

2022/7/7

Removing non-nuclei information from histopathological images: A preprocessing step towards improving nuclei segmentation methods

Journal of Pathology Informatics

2023/1/1

General stain deconvolution of histopathology images with physics-guided deep learning

bioRxiv

2022/12/10

Head and neck tumor segmentation with 3D UNet and survival prediction with multiple instance neural network

2022/9/22

BI-RADS BERT and using section segmentation to understand radiology reports

Journal of Imaging

2022/5/9

See List of Professors in Anne Martel University(University of Toronto)

Co-Authors

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