Search Results - "MARTEL, ANNE L"

A Cluster-then-label Semi-supervised Learning Approach for Pathology Image Classification by Peikari, Mohammad, Salama, Sherine, Nofech-Mozes, Sharon, Martel, Anne L.

“…Completely labeled pathology datasets are often challenging and time-consuming to obtain. Semi-supervised learning (SSL) methods are able to learn from fewer…”
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Improving the Accuracy of Computer-aided Diagnosis for Breast MR Imaging by Differentiating between Mass and Nonmass Lesions by Gallego-Ortiz, Cristina, Martel, Anne L

“…To determine suitable features and optimal classifier design for a computer-aided diagnosis (CAD) system to differentiate among mass and nonmass enhancements…”
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Sample-Size Determination Methodologies for Machine Learning in Medical Imaging Research: A Systematic Review by Balki, Indranil, Amirabadi, Afsaneh, Levman, Jacob, Martel, Anne L., Emersic, Ziga, Meden, Blaz, Garcia-Pedrero, Angel, Ramirez, Saul C., Kong, Dehan, Moody, Alan R., Tyrrell, Pascal N.

“…The required training sample size for a particular machine learning (ML) model applied to medical imaging data is often unknown. The purpose of this study was…”
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Use of radiomics for the prediction of local control of brain metastases after stereotactic radiosurgery by Mouraviev, Andrei, Detsky, Jay, Sahgal, Arjun, Ruschin, Mark, Lee, Young K, Karam, Irene, Heyn, Chris, Stanisz, Greg J, Martel, Anne L

“…Abstract Background Local response prediction for brain metastases (BM) after stereotactic radiosurgery (SRS) is challenging, particularly for smaller BM, as…”
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Cell segmentation for immunofluorescence multiplexed images using two-stage domain adaptation and weakly labeled data for pre-training by Han, Wenchao, Cheung, Alison M., Yaffe, Martin J., Martel, Anne L.

“…Cellular profiling with multiplexed immunofluorescence (MxIF) images can contribute to a more accurate patient stratification for immunotherapy. Accurate cell…”
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An investigation of the effect of fat suppression and dimensionality on the accuracy of breast MRI segmentation using U‐nets by Fashandi, Homa, Kuling, Gregory, Lu, Yingli, Wu, Hongbo, Martel, Anne L.

“…Purpose Accurate segmentation of the breast is required for breast density estimation and the assessment of background parenchymal enhancement, both of which…”
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Overcoming the limitations of patch-based learning to detect cancer in whole slide images by Ciga, Ozan, Xu, Tony, Nofech-Mozes, Sharon, Noy, Shawna, Lu, Fang-I, Martel, Anne L.

“…Whole slide images (WSIs) pose unique challenges when training deep learning models. They are very large which makes it necessary to break each image down into…”
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Using quantitative features extracted from T2-weighted MRI to improve breast MRI computer-aided diagnosis (CAD) by Gallego-Ortiz, Cristina, Martel, Anne L

“…Computer-aided diagnosis (CAD) has been proposed for breast MRI as a tool to standardize evaluation, to automate time-consuming analysis, and to aid the…”
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ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI by Boone, Lyndon, Biparva, Mahdi, Mojiri Forooshani, Parisa, Ramirez, Joel, Masellis, Mario, Bartha, Robert, Symons, Sean, Strother, Stephen, Black, Sandra E., Heyn, Chris, Martel, Anne L., Swartz, Richard H., Goubran, Maged

“…Deep artificial neural networks (DNNs) have moved to the forefront of medical image analysis due to their success in classification, segmentation, and…”
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BI-RADS BERT and Using Section Segmentation to Understand Radiology Reports by Kuling, Grey, Curpen, Belinda, Martel, Anne L

“…Radiology reports are one of the main forms of communication between radiologists and other clinicians, and contain important information for patient care. In…”
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Removing non-nuclei information from histopathological images: A preprocessing step towards improving nuclei segmentation methods by Moncayo, Ricardo, Martel, Anne L., Romero, Eduardo

“…Disease interpretation by computer-aided diagnosis systems in digital pathology depends on reliable detection and segmentation of nuclei in hematoxylin and…”
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A radiomic biomarker for prognosis of resected colorectal cancer liver metastases generalizes across MRI contrast agents by Chen, Jianan, Cheung, Helen M C, Karanicolas, Paul J, Coburn, Natalie G, Martel, Guillaume, Lee, Albert, Patel, Chirag, Milot, Laurent, Martel, Anne L

“…Contrast-enhanced MRI is routinely performed as part of preoperative work-up for patients with Colorectal Cancer Liver Metastases (CRLM). Radiomic biomarkers…”
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Loss odyssey in medical image segmentation by Ma, Jun, Chen, Jianan, Ng, Matthew, Huang, Rui, Li, Yu, Li, Chen, Yang, Xiaoping, Martel, Anne L.

“…Highlights•We present the first comprehensive review and comparison of the existing plug-and-play segmentation loss functions in an organized manner.•We…”
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Water Exchange Rate Constant as a Biomarker of Treatment Efficacy in Patients With Brain Metastases Undergoing Stereotactic Radiosurgery by Mehrabian, Hatef, PhD, Desmond, Kimberly L., PhD, Chavez, Sofia, PhD, Bailey, Colleen, PhD, Rola, Radoslaw, MD, PhD, Sahgal, Arjun, MD, Czarnota, Gregory J., PhD, MD, Soliman, Hany, MD, Martel, Anne L., PhD, Stanisz, Greg J., PhD

“…Purpose This study was designed to evaluate whether changes in metastatic brain tumors after stereotactic radiosurgery (SRS) can be seen with quantitative MRI…”
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MRI surveillance for women with dense breasts and a previous breast cancer and/or high risk lesion by Nadler, Michelle, BScH, MD, Al-Attar, Hyder, B.Sc, MD, FRCPC, Warner, Ellen, MD, MSc, FRCPC, FACP, Martel, Anne L., PhD, Balasingham, Sharmila, BSc, Zhang, Liying, PhD, Lipton, Joseph H., BA, Curpen, Belinda, BSc, MD, FRCPC

“…Abstract Background The role of surveillance breast MRI for women with mammographically dense breasts, a personal history of breast cancer (BC), atypical…”
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Learning to segment images with classification labels by Ciga, Ozan, Martel, Anne L.

“…•A network to perform segmentation with limited data by leveraging coarse image-level labels is presented.•Experiments verify it is possible to train a…”
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Diagnosis of lower-limb deep venous thrombosis: A prospective blinded study of Magnetic resonance direct thrombus imaging by FRASER, Douglas G. W, MOODY, Alan R, MORGAN, Paul S, MARTEL, Anne L, DAVIDSON, Ian

“…Current magnetic resonance techniques generate high signal from venous blood and show thrombi as filling defects. Magnetic resonance direct thrombus imaging…”
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Missed Breast Cancers on MRI in High-Risk Patients: A Retrospective Case-Control Study by Bilocq-Lacoste, Julie, Ferre, Romuald, Kuling, Grey, Martel, Anne L, Tyrrell, Pascal N, Li, Siying, Wang, Guan, Curpen, Belinda

“…: To determine if MRI features and molecular subtype influence the detectability of breast cancers on MRI in high-risk patients. : Breast cancers in a…”
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A Margin Sharpness Measurement for the Diagnosis of Breast Cancer from Magnetic Resonance Imaging Examinations by Levman, Jacob E.D., PhD, Martel, Anne L., PhD

“…Rationale and Objectives Cancer screening by magnetic resonance imaging (MRI) has been shown to be one of the most sensitive methods available for the early…”
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Self-supervised driven consistency training for annotation efficient histopathology image analysis by Srinidhi, Chetan L., Kim, Seung Wook, Chen, Fu-Der, Martel, Anne L.

“…•We design a self-supervised pretext task via predicting the resolution sequence ordering in histology WSI.•We propose a teacher-student consistency paradigm…”
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