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Author Details

Ashirbani Saha
St. Michael's Hospital
2015
36
17
PMIDPaper TitleJournal TitlePublished Year
36730765Predicting Severity of Head Collision Events in Elite Soccer Using Preinjury Data: A Machine Learning Approach.Clin J Sport Med2023
37124523A scoping review of natural language processing of radiology reports in breast cancer.Front Oncol2023
37383107Generative AI for brain image computing and brain network computing: a review.Front Neurosci2023
37001040Developing a Data and Analytics Platform to Enable a Breast Cancer Learning Health System at a Regional Cancer Center.JCO Clin Cancer Inform2023
33341234Setting standards of performance expected in neurosurgery residency: A study on entrustable professional activities in competency-based medical education.Am J Surg2021
33796876Cognitive Dysfunction, Brain Volumes, and Traumatic Brain Injury in Homeless Persons.Neurotrauma Rep2021
33748814Traumatic Brain Injury, Abuse, and Poor Sustained Attention in Youth and Young Adults Who Previously Experienced Foster Care.Neurotrauma Rep2021
34398205A Data Set and Deep Learning Algorithm for the Detection of Masses and Architectural Distortions in Digital Breast Tomosynthesis Images.JAMA Netw Open2021
34223550The Traumatic Brain Injury Model Systems National Database: A Review of Published Research.Neurotrauma Rep2021
33990085Development and validation of a patient-centered, meningioma-specific quality-of-life questionnaire.J Neurosurg2021
32619774Performance of preoperative breast MRI based on breast cancer molecular subtype.Clin Imaging2020
33937809Deep Radiogenomics of Lower-Grade Gliomas: Convolutional Neural Networks Predict Tumor Genomic Subtypes Using MR Images.Radiol Artif Intell2020
31907710Machine learning applications in imaging analysis for patients with pituitary tumors: a review of the current literature and future directions.Pituitary2020
32071143Ethical concerns around use of artificial intelligence in health care research from the perspective of patients with meningioma, caregivers and health care providers: a qualitative study.CMAJ Open2020
31941757Professional assessment of potential concussions in elite football tournaments.Inj Prev2020
33224871Gene Expression Signatures Identify Biologically Homogenous Subgroups of Grade 2 Meningiomas.Front Oncol2020
29602724Relationship between Background Parenchymal Enhancement on High-risk Screening MRI and Future Breast Cancer Risk.Acad Radiol2019
31698241Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ.Comput Biol Med2019
30130181Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics.IEEE Trans Med Imaging2019
31078126Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm.Comput Biol Med2019
31048129Deep learning for identifying radiogenomic associations in breast cancer.Comput Biol Med2019
30575178Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI.J Magn Reson Imaging2019
30648316Machine learning-based prediction of future breast cancer using algorithmically measured background parenchymal enhancement on high-risk screening MRI.J Magn Reson Imaging2019
30672045Association of distant recurrence-free survival with algorithmically extracted MRI characteristics in breast cancer.J Magn Reson Imaging2019
30328048Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent validation set.Breast Cancer Res Treat2019
29427210A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models.J Cancer Res Clin Oncol2018
29992418Intra-tumor molecular heterogeneity in breast cancer: definitions of measures and association with distant recurrence-free survival.Breast Cancer Res Treat2018
30033447A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features.Br J Cancer2018
29356028Deep learning for segmentation of brain tumors: Impact of cross-institutional training and testing.Med Phys2018
29663411Breast cancer MRI radiomics: An overview of algorithmic features and impact of inter-reader variability in annotating tumors.Med Phys2018
28064383Algorithms for prediction of the Oncotype DX recurrence score using clinicopathologic data: a review and comparison using an independent dataset.Breast Cancer Res Treat2017
30319179Effects of MRI scanner parameters on breast cancer radiomics.Expert Syst Appl2017
28470431Radiogenomics of lower-grade glioma: algorithmically-assessed tumor shape is associated with tumor genomic subtypes and patient outcomes in a multi-institutional study with The Cancer Genome Atlas data.J Neurooncol2017
28181348Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer?J Magn Reson Imaging2017
27487872Interobserver variability in identification of breast tumors in MRI and its implications for prognostic biomarkers and radiogenomics.Med Phys2016
25775489Utilizing image scales towards totally training free blind image quality assessment.IEEE Trans Image Process2015
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Collaborators

Michael D Cusimano
St. Michael's Hospital, University of Toronto
Co-authored papers 10
Paul K Marcom
Co-authored papers 5
Jessica Rabski
Brigham and Women's Hospital, Harvard Medical School
Co-authored papers 3
Melissa D McCradden
University of Adelaide
Co-authored papers 2
Kanwar Boparai
Co-authored papers 1
Kim Edelstein
University of Toronto
Co-authored papers 1
Ami Baba
Co-authored papers 1
Pantea Fadaiefard
Co-authored papers 1
Shudong Zhang
St. Michael's Hospital, University of Toronto.
Co-authored papers 1
Farhad Pirouzmand
University of Toronto
Co-authored papers 1
Ami Baba
Co-authored papers 1
Sidra Ahmad
Co-authored papers 1
Gelareh Zadeh
University of Toronto
Co-authored papers 1
Kanwar Boparai
Co-authored papers 1
Release 1.2