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Anne L. Martel

Anne L. Martel

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
6828
World Ranking
8603
National Ranking
346

Overview

Anne L. Martel is affiliated with the University of Toronto in Canada. Their research predominantly spans the fields of Medicine and Computer Science, with a strong emphasis on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, and Computer Vision and Pattern Recognition. Their investigations also extend into Biomedical Engineering and Biophysics.

The primary domains of their work focus on Radiomics and Machine Learning in Medical Imaging, AI applications in cancer detection, and Digital Imaging for Blood Diseases. Additional topics include Artificial Intelligence in Healthcare and Education, Cell Image Analysis Techniques, Colorectal Cancer Screening and Detection, as well as MRI in cancer diagnosis.

Their recent publications reflect these interests, with notable papers including:

  • Deep neural network models for computational histopathology: A survey (2020) in Medical Image Analysis
  • Loss odyssey in medical image segmentation (2021) in Medical Image Analysis
  • Metrics reloaded: recommendations for image analysis validation (2024) in Nature Methods
  • Understanding metric-related pitfalls in image analysis validation (2024) in Nature Methods
  • Use of radiomics for the prediction of local control of brain metastases after stereotactic radiosurgery (2020) in Neuro-Oncology

Anne L. Martel frequently collaborates with a consistent group of co-authors. These include Jianan Chen, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, and Leo Joskowicz, each of whom has co-authored at least a dozen works alongside Martel.

Their work appears regularly across several publication venues, notably:

  • arXiv (Cornell University) with 13 publications
  • Medical Image Analysis with 4 publications
  • bioRxiv (Cold Spring Harbor Laboratory) with 4 publications
  • Scientific Reports with 3 publications
  • Journal of Medical Imaging with 3 publications

Martel has contributed to book publications primarily through Springer Science+Business Media, with seven titles related to Medical Image Computing and Computer Assisted Intervention - MICCAI 2020. Additionally, they have a publication with Centre National de la Recherche Scientifique in the same domain.

Best Publications

  • Deep neural network models for computational histopathology: A survey

    Chetan L. Srinidhi;Chetan L. Srinidhi;Ozan Ciga;Anne L. Martel;Anne L. Martel

  • Loss odyssey in medical image segmentation.

    Jun Ma;Jianan Chen;Matthew Ng;Rui Huang

  • Characterization of Complicated Carotid Plaque With Magnetic Resonance Direct Thrombus Imaging in Patients With Cerebral Ischemia

    Alan R. Moody;Rachael E. Murphy;Paul S. Morgan;Anne L. Martel

  • Diagnosis of lower-limb deep venous thrombosis: a prospective blinded study of magnetic resonance direct thrombus imaging.

    Douglas G.W. Fraser;Alan R. Moody;Paul S. Morgan;Anne L. Martel

  • Sample-Size Determination Methodologies for Machine Learning in Medical Imaging Research: A Systematic Review

    Indranil Balki;Afsaneh Amirabadi;Jacob Levman;Jacob Levman;Anne L. Martel

  • Prevalence of Complicated Carotid Atheroma as Detected by Magnetic Resonance Direct Thrombus Imaging in Patients With Suspected Carotid Artery Stenosis and Previous Acute Cerebral Ischemia

    Rachael E. Murphy;Alan R. Moody;Paul S. Morgan;Anne L. Martel

  • Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support : 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings

    Danail Stoyanov;Zeike Taylor;Gustavo Carneiro;Tanveer Syeda-Mahmood

  • Self supervised contrastive learning for digital histopathology

    Ozan Ciga;Tony Xu;Anne Louise Martel;Anne Louise Martel

  • A Cluster-then-label Semi-supervised Learning Approach for Pathology Image Classification.

    Mohammad Peikari;Sherine Salama;Sharon Nofech-Mozes;Anne L. Martel;Anne L. Martel

  • Classification of Dynamic Contrast-Enhanced Magnetic Resonance Breast Lesions by Support Vector Machines

    J. Levman;T. Leung;P. Causer;D. Plewes

  • BIAS: Transparent reporting of biomedical image analysis challenges.

    Lena Maier-Hein;Annika Reinke;Michal Kozubek;Anne L. Martel

  • Fast Collisional Lipid Transfer Among Polymer-Bounded Nanodiscs.

    Rodrigo Cuevas Arenas;Bartholomäus Danielczak;Anne Martel;Lionel Porcar

  • Use of radiomics for the prediction of local control of brain metastases after stereotactic radiosurgery.

    Andrei Mouraviev;Jay Detsky;Arjun Sahgal;Mark Ruschin

  • Automatic CAD-RADS Scoring Using Deep Learning.

    Felix Denzinger;Michael Wels;Katharina Breininger;Mehmet A. Gülsün

  • Triaging Diagnostically Relevant Regions from Pathology Whole Slides of Breast Cancer: A Texture Based Approach

    Mohammad Peikari;Mehrdad J. Gangeh;Judit Zubovits;Gina Clarke

  • Segmentation of MR images for computer-assisted surgery of the lumbar spine.

    C L Hoad;A L Martel

  • Hippocampal segmentation for brains with extensive atrophy using three-dimensional convolutional neural networks.

    Maged Goubran;Maged Goubran;Emmanuel Edward Ntiri;Emmanuel Edward Ntiri;Hassan Akhavein;Hassan Akhavein;Melissa Holmes;Melissa Holmes

  • Neutrons describe ectoine effects on water H-bonding and hydration around a soluble protein and a cell membrane.

    Giuseppe Zaccai;Irina Bagyan;Jérôme Combet;Gabriel J. Cuello

  • Prolonged hemiplegic migraine associated with unilateral hyperperfusion on perfusion weighted magnetic resonance imaging

    A J Lindahl;S Allder;D Jefferson;A Moody

  • Automatic atlas-based segmentation of the breast in MRI for 3D breast volume computation.

    C. Gallego Ortiz;A. L. Martel

  • Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment

    Sergio Pereira;Raphael Meier;Victor Alves;Mauricio Reyes

  • Evaluating an optical-flow-based registration algorithm for contrast-enhanced magnetic resonance imaging of the breast.

    A L Martel;M S Froh;K K Brock;D B Plewes;D B Plewes

  • Extracting parametric images from dynamic contrast-enhanced MRI studies of the brain using factor analysis

    Anne L Martel;Alan R Moody;Steven J Allder;Gota S Delay

  • An Image Analysis Resource for Cancer Research: PIIP-Pathology Image Informatics Platform for Visualization, Analysis, and Management.

    Anne L. Martel;Dan Hosseinzadeh;Caglar Senaras;Yu Zhou

  • 7th Joint International Workshop, CVII-STENT (Intravascular Imaging and Computer Assisted Stenting) 2018 and Third International Workshop, LABELS (Large-Scale Annotation of Biomedical Data and Expert Label Synthesis) 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

    Danail Stoyanov;Zeike Taylor;Simone Balocco;Raphael Sznitman

  • Self-supervised driven consistency training for annotation efficient histopathology image analysis.

    Chetan L. Srinidhi;Chetan L. Srinidhi;Seung Wook Kim;Fu-Der Chen;Anne L. Martel;Anne L. Martel

  • BIAS: Transparent reporting of biomedical image analysis challenges

    Lena Maier-Hein;Annika Reinke;Michal Kozubek;Anne L. Martel

Frequent Co-Authors

Lionel Porcar
Lionel Porcar Institut Laue-Langevin
Danail Stoyanov
Danail Stoyanov University College London
Lena Maier-Hein
Lena Maier-Hein German Cancer Research Center
Leo Joskowicz
Leo Joskowicz Hebrew University of Jerusalem
Purang Abolmaesumi
Purang Abolmaesumi University of British Columbia
Koichi Kato
Koichi Kato National Institutes of Natural Sciences
João T. Cabral
João T. Cabral Imperial College London
Arjun Sahgal
Arjun Sahgal Sunnybrook Health Science Centre
Pierre Jannin
Pierre Jannin University of Rennes
Erik Lindahl
Erik Lindahl Stockholm University

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