Faculty profile
Anne Martel
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Read how they describe their research on their University of Toronto profile.
Latest papers
3D CT Radiomic Analysis Improves Detection of Axillary Lymph Node Metastases Compared to Conventional Features in Patients With Locally Advanced Breast Cancer.
Journal of breast imaging · 2024
A Convolutional Neural Network for Beamforming and Image Reconstruction in Passive Cavitation Imaging.
Sensors (Basel, Switzerland) · 2023
Segmentation of Brain Metastases Using Background Layer Statistics (BLAST).
AJNR. American journal of neuroradiology · 2023
Latest funding
- $84,000
Using a data-centric approach to improve the generalizability of AI models for medical applications
NSERC · 2023 · Principal investigator
- $887,400
Using AI to predict the presence of occult invasive carcinoma following diagnosis of DCIS on biopsy
CIHR · 2022 · Nominated PI
- $636,180
Quantifying Osteosarcopenia Progression with Imaging Biomarkers in Prostate Cancer
CIHR · 2021 · Co-investigator
9 publications.
3D CT Radiomic Analysis Improves Detection of Axillary Lymph Node Metastases Compared to Conventional Features in Patients With Locally Advanced Breast Cancer.
Barszczyk M, Singh N, Alikhassi A, Van Oirschot M, Kuling G, Kiss A, Gandhi S, Nofech-Mozes S, Look Hong N, Bilbily A, Martel A, Matsuura N, Curpen B
A Convolutional Neural Network for Beamforming and Image Reconstruction in Passive Cavitation Imaging.
Sharahi HJ, Acconcia CN, Li M, Martel A, Hynynen K
Segmentation of Brain Metastases Using Background Layer Statistics (BLAST).
Heyn C, Moody AR, Tseng CL, Wong E, Kang T, Kapadia A, Howard P, Maralani P, Symons S, Goubran M, Martel A, Chen H, Myrehaug S, Detsky J, Sahgal A, Soliman H
IJCARS: MICCAI 2020 special issue.
Martel A, Stoyanov D, Mateus D, Joskowicz L, Abolmaesumi P
Hippocampal segmentation for brains with extensive atrophy using three-dimensional convolutional neural networks.
Goubran M, Ntiri EE, Akhavein H, Holmes M, Nestor S, Ramirez J, Adamo S, Ozzoude M, Scott C, Gao F, Martel A, Swardfager W, Masellis M, Swartz R, MacIntosh B, Black SE
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.
Abdul-Wahid A, Cydzik M, Fischer NW, Prodeus A, Shively JE, Martel A, Alminawi S, Ghorab Z, Berinstein NL, Gariépy J
A Sorting Statistic with Application in Neurological Magnetic Resonance Imaging of Autism.
Levman J, Takahashi E, Forgeron C, MacDonald P, Stewart N, Lim A, Martel A
Supine breast MRI and assessment of future clinical applications.
Siegler P, Ebrahimi M, Holloway CM, Thevathasan G, Plewes DB, Martel A
Increasing specimen coverage using digital whole-mount breast pathology: implementation, clinical feasibility and application in research.
Clarke GM, Peressotti C, Constantinou P, Hosseinzadeh D, Martel A, Yaffe MJ
Using a data-centric approach to improve the generalizability of AI models for medical applications
Principal investigators: Martel, Anne
Keywords: Artificial Intelligence; generalizability; machine learning; medical image analysis; representation learning; weakly supervised learning
Using AI to predict the presence of occult invasive carcinoma following diagnosis of DCIS on biopsy
Principal investigators: Martel, Anne L; Nofech-Mozes, Sharon
Keywords: Artificial Intelligence; Dcis; Digital Pathology; Mammography
Quantifying Osteosarcopenia Progression with Imaging Biomarkers in Prostate Cancer
Principal investigators: Hardisty, Michael R
Keywords: Bone; Computer Vision; Imaging Biomarkers; Metastasis; Muscle; Osteoporosis; Osteosarcopenia; Progression; Prostate Cancer; Sarcopenia
Investigating risk factors for cognitive impairment using precision neuropsychological and neuroimaging measures in a Canadian multi-ethnic cohort
Principal investigators: Rabin, Jennifer S; Goubran, Maged
Keywords: Cognitive Decline; Multi-Ethnic; Risk Factors
Applying machine learning to 3D tumor histopathology for predicting patient outcomes
Principal investigators: Chan, Warren C; Damaskinos, Savvas; Tsao, Ming-Sound
Keywords: Cancer; Imaging; Machine Learning
Using MRI imaging to develop a personalized risk-based breast cancer screening strategy
Principal investigators: Martel, Anne L; Brooks, Jennifer D
Keywords: Breast Screening; Chemoprevention; High Risk Screening Population; Machine Learning; Magnetic Resonance Imaging; Mammography; Medical Image Analysis; Radiomics; Risk Assessment
Using deep learning to estimate breast cancer recurrence scores from histopathology images
Principal investigators: Martel, Anne L; Stein, Lincoln
Keywords: Breast Cancer; Computational Pathology; Deep Learning; Digital Pathology; Histopathology; Risk Stratification
Determining Vertebral Stability on Metastatically Involved Vertebrae using Deep Learning
Principal investigators: Klein, Geoffrey
Keywords: Deep Learning; Image Processing; Neural Networks; Stereotactic Body Radiotherapy; Vertebral Compression Fracture; Vertebral Metastases
DCIS-Precise: A Genomics-Driven Model for Predicting DCIS Response to Radiation
Principal investigators: Rakovitch, Eileen; Hallett, Michael T
Keywords: Biomarkers; Breast Cancer; Dcis; Genomic Assay; Prediction; Radiation Treatment
Robust classification techniques for medical imaging
Principal investigators: Martel, Anne
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Mario Masellis and Walter Swardfager: 23 shared papers
- Mario Masellis and Maged Goubran: 18 shared papers
- Walter Swardfager and Maged Goubran: 14 shared papers
- Kullervo Hynynen and Maged Goubran: 8 shared papers
- Kullervo Hynynen and Arjun Sahgal: 6 shared papers
- Maged Goubran and Sean Nestor: 4 shared papers
- Mario Masellis and Melissa Holmes: 3 shared papers
- Walter Swardfager and Sean Nestor: 3 shared papers
- Arjun Sahgal and Nicole Look Hong: 3 shared papers
- Mario Masellis and Richard Swartz: 2 shared papers
- Anne Martel and Maged Goubran: 2 shared papers
- Maged Goubran and Arjun Sahgal: 2 shared papers
- Arjun Sahgal and Sharon Nofech-Mozes: 2 shared papers
- Sharon Nofech-Mozes and Nicole Look Hong: 2 shared papers
- Bradley MacIntosh and Mario Masellis: 1 shared paper
- Bradley MacIntosh and Richard Swartz: 1 shared paper
- Bradley MacIntosh and Walter Swardfager: 1 shared paper
- Bradley MacIntosh and Anne Martel: 1 shared paper
- Bradley MacIntosh and Melissa Holmes: 1 shared paper
- Bradley MacIntosh and Sean Nestor: 1 shared paper
- Mario Masellis and Kullervo Hynynen: 1 shared paper
- Mario Masellis and Anne Martel: 1 shared paper
- Richard Swartz and Walter Swardfager: 1 shared paper
- Richard Swartz and Anne Martel: 1 shared paper
- Richard Swartz and Melissa Holmes: 1 shared paper
- Kullervo Hynynen and Anne Martel: 1 shared paper
- Purang Abolmaesumi and Anne Martel: 1 shared paper
- Walter Swardfager and Anne Martel: 1 shared paper
- Anne Martel and Naomi Matsuura: 1 shared paper
- Anne Martel and Melissa Holmes: 1 shared paper
- Anne Martel and Arjun Sahgal: 1 shared paper
- Anne Martel and Sharon Nofech-Mozes: 1 shared paper
- Anne Martel and Sean Nestor: 1 shared paper
- Anne Martel and Jacob Levman: 1 shared paper
- Anne Martel and Nicole Look Hong: 1 shared paper
- Naomi Matsuura and Sharon Nofech-Mozes: 1 shared paper
- Naomi Matsuura and Nicole Look Hong: 1 shared paper
- Department of Medical Biophysics
- Medical Biophysics
- Medicine
- Department of Surgery
- Cardiology
- Neurology
- Physical Sciences
- Other
Co-authors at University of Toronto, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Maged Goubran
Department of Medical Biophysics
2 shared papers, latest 2023
Melissa Holmes
Faculty
1 shared papers, latest 2020
Arjun Sahgal
Faculty
1 shared papers, latest 2023
Sharon Nofech-Mozes
Physical Sciences
1 shared papers, latest 2024
Sean Nestor
Faculty
1 shared papers, latest 2020
Jacob Levman
Faculty
1 shared papers, latest 2018
Naomi Matsuura
Faculty
1 shared papers, latest 2024
Nicole Look Hong
Department of Surgery
1 shared papers, latest 2024
Bradley MacIntosh
Department of Medical Biophysics
1 shared papers, latest 2020
Mario Masellis
Medicine
1 shared papers, latest 2020
Richard Swartz
Neurology
1 shared papers, latest 2020
Kullervo Hynynen
Medical Biophysics
1 shared papers, latest 2023
Purang Abolmaesumi
Cardiology
1 shared papers, latest 2021
Walter Swardfager
Department of Pharmacology and Toxicology
1 shared papers, latest 2020
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Profile data last refreshed on September 25, 2026 from the university directory, publication records and CIHR, NSERC and SSHRC funding.