Dr. Anne L. Martel Profile

Dr. Anne L. Martel

Senior Scientist at Sunnybrook Research Institute

SPIE Involvement:

Author

Area of Expertise:

medical image analysis , digital histopathology

Websites:

Company Website

Publications (23)

Proceedings Article | 7 April 2023 Poster + Paper

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

Alison Cheung, Hassan Besher, Dan Wang, Kela Liu, Yutaka Amemiya, Jianan Chen, Anne Martel, Arun Seth, Martin Yaffe

Proceedings Volume 12471, 124711F (2023) https://doi.org/10.1117/12.2653946

KEYWORDS: Breast cancer, Cancer, Proteins, Tumors, Multiplexing, Image analysis, Cell phenotyping, Tissues, Binary data

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Proceedings Article | 7 April 2023 Presentation + Paper

Ink removal in whole slide images using hallucinated data

Vishwesh Ramanathan, Wenchao Han, Dina Bassiouny, Eileen Rakovitch, Anne Martel

Proceedings Volume 12471, 124710Y (2023) https://doi.org/10.1117/12.2653281

KEYWORDS: Tissues, Histopathology, Color, Pathology, Deep learning, Quality control, Image classification

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Proceedings Article | 7 April 2023 Presentation + Paper

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

Wenchao Han, Alison Cheung, Vishwesh Ramanathan, Dan Wang, Kela Liu, Martin Yaffe, Anne Martel

Proceedings Volume 12471, 1247106 (2023) https://doi.org/10.1117/12.2654943

KEYWORDS: Breast cancer, Image segmentation, Cancer, Deep learning, Tissues, Multiplexing, Education and training, Image classification, Image registration, Proteins

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Proceedings Article | 4 April 2022 Presentation + Paper

Cell phenotyping using unsupervised clustering on multiplexed fluorescence images of breast cancer tissue specimens

Wenchao Han, Alison Cheung, Dan Wang, Kela Liu, Martin Yaffe, Anne Martel

Proceedings Volume 12039, 120390J (2022) https://doi.org/10.1117/12.2612972

KEYWORDS: Tissues, Multiplexing, Breast cancer, Cancer, Proteins, Luminescence, Visualization, Oncology, Analytical research, Receptors

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Proceedings Article | 4 April 2022 Poster + Presentation + Paper

Sparse capsule networks for informative representation learning in digital pathology

Matthew McNeil, Cem Anil, Anne Martel

Proceedings Volume 12039, 120391E (2022) https://doi.org/10.1117/12.2611584

KEYWORDS: Pathology, Computer programming, Data modeling, Tissues, Microscopes, Convolution, Statistical analysis, Image resolution, Image quality

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SPIE Journal Paper | 8 May 2021 Open Access

SPIE-AAPM-NCI BreastPathQ Challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment

Nicholas Petrick, Shazia Akbar, Kenny H. Cha, Sharon Nofech-Mozes, Berkman Sahiner, Marios Gavrielides, Jayashree Kalpathy-Cramer, Karen Drukker, Anne L. Martel, for the BreastPathQ Challenge Group

JMI, Vol. 8, Issue 03, 034501, (May 2021) https://doi.org/10.1117/12.10.1117/1.JMI.8.3.034501

KEYWORDS: Image analysis, Tumors, Computer science, Breast cancer, Medicine, Medical imaging, Cancer, Pathology, Artificial intelligence, Algorithm development

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Proceedings Article | 22 May 2020 Paper

Domain adapted breast tissue segmentation in magnetic resonance imaging

Grey Kuling, Belinda Curpen, Anne Martel

Proceedings Volume 11513, 115131B (2020) https://doi.org/10.1117/12.2564131

KEYWORDS: Image segmentation, Tissues, Breast, Magnetic resonance imaging, Data modeling, Image enhancement, Visualization, Medical imaging, Performance modeling, Mammography

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Proceedings Article | 13 March 2019 Presentation + Paper

Use of convolutional neural networks to predict risk of masking by mammographic density

Theo Cleland, James Mainprize, Olivier Alonzo-Proulx, Jennifer Harvey, Roberta Jong, Anne Martel, Martin Yaffe

Proceedings Volume 10950, 109501X (2019) https://doi.org/10.1117/12.2513063

KEYWORDS: Mammography, Cancer, Breast, Convolutional neural networks, Medical imaging, Computer aided diagnosis and therapy, Analytical research

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Proceedings Article | 6 March 2018 Paper

Localization and classification of cell nuclei in post-neoadjuvant breast cancer surgical specimen using fully convolutional networks

Rene Bidart, Mehrdad Gangeh, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne Martel, Ali Ghodsi

Proceedings Volume 10581, 105810O (2018) https://doi.org/10.1117/12.2292815

KEYWORDS: Breast cancer, Cancer, Machine learning, Oncology, Convolutional neural networks, Pathology

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Proceedings Article | 6 March 2018 Paper

Determining tumor cellularity in digital slides using ResNet

Shazia Akbar, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne Martel

Proceedings Volume 10581, 105810U (2018) https://doi.org/10.1117/12.2292813

KEYWORDS: Tumors, Cancer, Pathology, Breast cancer, Image analysis, Neural networks

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SPIE Journal Paper | 19 October 2016 Open Access

Optimized SIFTFlow for registration of whole-mount histology to reference optical images

Rushin Shojaii, Anne Martel

JMI, Vol. 3, Issue 04, 047501, (October 2016) https://doi.org/10.1117/12.10.1117/1.JMI.3.4.047501

KEYWORDS: Image registration, Tissues, 3D image processing, Breast, 3D image reconstruction, Image resolution, Image segmentation, Biomedical optics, Image processing, Pathology

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Proceedings Article | 24 March 2016 Paper

Automated metastatic brain lesion detection: a computer aided diagnostic and clinical research tool

Jeremy Devine, Arjun Sahgal, Irene Karam, Anne Martel

Proceedings Volume 9785, 97852K (2016) https://doi.org/10.1117/12.2217121

KEYWORDS: Brain, Computer aided diagnosis and therapy, Diagnostics, Clinical research, Magnetic resonance imaging, Machine learning, Oncology, Neuroimaging, Image processing, Tumors, Gold, Magnetism, Image analysis

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Proceedings Article | 23 March 2016 Paper

Automatic cell detection and segmentation from H and E stained pathology slides using colorspace decorrelation stretching

Mohammad Peikari, Anne Martel

Proceedings Volume 9791, 979114 (2016) https://doi.org/10.1117/12.2216507

KEYWORDS: Image segmentation, RGB color model, Pathology, Image analysis, Image enhancement, Image processing, Binary data, Medical imaging, Biophysics, Quantitative analysis

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Proceedings Article | 21 March 2016 Paper

Breast segmentation in MRI using Poisson surface reconstruction initialized with random forest edge detection

Anne Martel, Cristina Gallego-Ortiz, YingLi Lu

Proceedings Volume 9784, 97841B (2016) https://doi.org/10.1117/12.2214416

KEYWORDS: Breast, Magnetic resonance imaging, Edge detection, Machine learning, Pattern recognition, Image segmentation, Chest, Natural surfaces, Tissues, Feature extraction, 3D image reconstruction, 3D image processing

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Proceedings Article | 20 March 2014 Paper

Classification of breast lesions presenting as mass and non-mass lesions

Cristina Gallego-Ortiz, Anne Martel

Proceedings Volume 9035, 90351Z (2014) https://doi.org/10.1117/12.2043774

KEYWORDS: Feature extraction, Breast, Magnetic resonance imaging, Data modeling, Binary data, Feature selection, Breast cancer, Performance modeling, CAD systems, Computer aided diagnosis and therapy

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Proceedings Article | 16 February 2012 Paper

Creating a semantic lesion database for computer-aided MR mammography

Xiaogang Wang, Anne Martel

Proceedings Volume 8319, 83190X (2012) https://doi.org/10.1117/12.911299

KEYWORDS: Databases, Magnetic resonance imaging, Computer aided diagnosis and therapy, Pathology, Breast, Biopsy, Mammography, Radiology, Computer aided design, Breast cancer

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Proceedings Article | 11 March 2011 Paper

Validation of histology image registration

Rushin Shojaii, Tigran Karavardanyan, Martin Yaffe, Anne Martel

Proceedings Volume 7962, 79621E (2011) https://doi.org/10.1117/12.878762

KEYWORDS: Image registration, Tissues, Medical imaging, Rigid registration, Image segmentation, Natural surfaces, Image processing, Image restoration, Tissue optics, Transform theory

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Proceedings Article | 11 March 2011 Paper

Automatic model-based 3D segmentation of the breast in MRI

Cristina Gallego, Anne Martel

Proceedings Volume 7962, 796215 (2011) https://doi.org/10.1117/12.877712

KEYWORDS: Image segmentation, Breast, 3D modeling, Magnetic resonance imaging, Statistical modeling, Image registration, Chest, 3D image processing, Error analysis, Computer aided diagnosis and therapy

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Proceedings Article | 9 March 2011 Paper

Deconvolution of dynamic dual photon microscopy images of cerebral microvasculature to assess the hemodynamic status of the brain

Hatef Mehrabian, Liis Lindvere, Bojana Stefanovic, Anne Martel

Proceedings Volume 7965, 79650A (2011) https://doi.org/10.1117/12.878741

KEYWORDS: Arteries, Deconvolution, Veins, Independent component analysis, Brain, Hemodynamics, Neuroimaging, Image segmentation, In vivo imaging, Convolution

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Proceedings Article | 13 March 2010 Paper

Multi-Modality fiducial marker for validation of registration of medical images with histology

Rushin Shojaii, Anne Martel

Proceedings Volume 7623, 762331 (2010) https://doi.org/10.1117/12.845551

KEYWORDS: Medical imaging, Iron, Image registration, Tissues, Liquids, Magnetic resonance imaging, Kidney, Ocean optics, Tissue optics, Water

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Proceedings Article | 9 March 2010 Paper

A temporally constrained ICA (TCICA) technique for artery-vein separation of cerebral microvasculature

Hatef Mehrabian, Liis Lindvere, Bojana Stefanovic, Anne Martel

Proceedings Volume 7626, 762622 (2010) https://doi.org/10.1117/12.844913

KEYWORDS: Independent component analysis, Veins, Arteries, Data modeling, Capillaries, Brain, Algorithm development, Neuroimaging, Laser scanners, Microscopy

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Proceedings Article | 30 April 2004 Paper

Identifying the arterial input function from dynamic contrast-enhanced magnetic resonance images using an apex-seeking technique

Anne Martel

Proceedings Volume 5369, (2004) https://doi.org/10.1117/12.534321

KEYWORDS: Magnetic resonance imaging, Factor analysis, Brain, Principal component analysis, Magnetism, Signal to noise ratio, Neuroimaging, Remote sensing, Arteries, Clouds

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Proceedings Article | 3 July 1998 Paper

Assessment of brain perfusion using parametric and factor images extracted from dynamic contrast-enhanced MRI images

Anne Martel, Alan Moody

Proceedings Volume 3337, (1998) https://doi.org/10.1117/12.312572

KEYWORDS: Brain, Neuroimaging, Blood circulation, Signal to noise ratio, Magnetic resonance imaging, Tissues, Blood, Factor analysis, Smoothing, Physiology

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