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All papers authored by Anne L. Martel

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2024 Maarten van Smeden, Annika Reinke

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, Minu Dietlinde Tizabi

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, Michael Baumgartner

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, Matthias Eisenmann, Doreen Heckmann-Nötzel, Ali Emre Kavur

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, A. Emre Kavur, Tim Rädsch

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, Carole H. Sudre, Laura Acion

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, Michela Antonelli

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, Spyridon Bakas

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and 70 other authors

Understanding metric-related pitfalls in image analysis validation

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This paper was not found in any repository, but could be made available legally by the author.

2023 Chris Heyn

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, Alan R. Moody

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, Chia-Lin Tseng

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, Anish Kapadia

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, Peter Howard, Pejman Maralani

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, Maged Goubran

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, Anne Martel

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, Sten Myrehaug

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and 1 other authors

Segmentation of Brain Metastases Using Background Layer Statistics (BLAST)

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Laura C. Bahlmann

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, Chang Xue, Allysia A. Chin

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, Arianna Skirzynska

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, Joy Lu

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, Brigitte Thériault, David Uehling, Yulia Yerofeyeva, Rachel Peters, Kela Liu, Jianan Chen

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, Anne L. Martel

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, Martin Yaffe, Rima Al-Awar, Rashmi S. Goswami

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and 5 other authors

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

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Tony Xu

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, Matthew Rozak

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, Edward Ntiri, Adrienne Dorr

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, James Mester, Bojana Stefanovic, Anne Martel

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, Maged Goubran

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

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2022 Grey Kuling

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, Belinda Curpen

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, Anne L. Martel

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BI-RADS BERT and Using Section Segmentation to Understand Radiology Reports

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Ozan Ciga

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, Tony Xu

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, Anne Louise Martel

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Self supervised contrastive learning for digital histopathology

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Julie Bilocq-Lacoste, Romuald Ferre, Grey Kuling

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, Anne L. Martel

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, Pascal N. Tyrrell

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, Siying Li, Guan Wang, Belinda Curpen

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Missed Breast Cancers on MRI in High-Risk Patients: A Retrospective Case–Control Study

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

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

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2021 Alison Min-Yan Cheung, Dan Wang, Kela Liu, Tyna Hope, Mayan Murray, Fiona Ginty, Sharon Nofech-Mozes, Anne Louise Martel

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, Martin Joel Yaffe

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Quantitative single-cell analysis of immunofluorescence protein multiplex images illustrates biomarker spatial heterogeneity within breast cancer subtypes

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Anne Martel

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, Danail Stoyanov, Diana Mateus, Leo Joskowicz, Purang Abolmaesumi

IJCARS: MICCAI 2020 special issue

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

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, For The BreastPathQ Challenge Group

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

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Ozan Ciga, Tony Xu, Sharon Nofech-Mozes, Shawna Noy, Fang-I. Lu, Anne L. Martel

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Overcoming the limitations of patch-based learning to detect cancer in whole slide images

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Ozan Ciga, Anne L. Martel

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Learning to segment images with classification labels

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Jianan Chen, Helen M. C. Cheung, Laurent Milot, Anne L. Martel

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AMINN: Autoencoder-Based Multiple Instance Neural Network Improves Outcome Prediction in Multifocal Liver Metastases

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2020 Korosh Khalili, Raymond L. Lawlor, Marina Pourafkari, Hua Lu, Pascal Tyrrell, Tae Kyoung Kim, Hyun-Jung Jang, Sarah A. Johnson, Anne L. Martel

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Convolutional neural networks versus radiologists in characterization of small hypoattenuating hepatic nodules on CT: a critical diagnostic challenge in staging of colorectal carcinoma

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

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Deep neural network models for computational histopathology: A survey

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

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, Tal Arbel, Matthias Eisenmann, Allan Hanbury, Pierre Jannin, Henning Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman

BIAS: Transparent reporting of biomedical image analysis challenges

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Grey Kuling, Belinda Curpen, Anne L. Martel

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Domain adapted breast tissue segmentation in magnetic resonance imaging

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Andrei Mouraviev, Jay Detsky, Arjun Sahgal, Mark Ruschin, Young K. Lee, Irene Karam, Chris Heyn, Greg J. Stanisz, Anne L. Martel

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

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