Ashirbani Saha

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 11

Top Topics

Convolutional Neural Network

Attention Deficit Hyperactivity Disorder

Diffusion Weighted Imaging

Top Venues

Journal of magnetic resonance imaging : JMRI

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes

British journal of cancer

Radiology. Artificial intelligence

This page only lists publications with an associated author ORCID identifier.

Publications

Ashirbani Saha, Christian B van der Pol
Liver Observation Segmentation on Contrast-Enhanced MRI: SAM and MedSAM Performance in Patients With Probable or Definite Hepatocellular Carcinoma. Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes (2024)
Jeremy Petch, Joel Kempainnen, Christopher Pettengell, Steven Aviv, Bill Butler, Greg Pond, Ashirbani Saha, Jessica Bogach, Alexandria Allard-Coutu, Peter Sztur, Jonathan Ranisau, Mark N Levine
Developing a Data and Analytics Platform to Enable a Breast Cancer Learning Health System at a Regional Cancer Center. JCO clinical cancer informatics 7 (2023)
Ashirbani Saha, Samantha Tso, Jessica Rabski, Alireza Sadeghian, Michael D Cusimano
Machine learning applications in imaging analysis for patients with pituitary tumors: a review of the current literature and future directions. Pituitary 23 (3) (2021)
Mateusz Buda, Ehab A AlBadawy, Ashirbani Saha, Maciej A Mazurowski
Deep Radiogenomics of Lower-Grade Gliomas: Convolutional Neural Networks Predict Tumor Genomic Subtypes Using MR Images. Radiology. Artificial intelligence 2 (1) (2020)
Maciej A Mazurowski, Ashirbani Saha, Michael R Harowicz, Elizabeth Hope Cain, Jeffrey R Marks, P Kelly Marcom
Association of distant recurrence-free survival with algorithmically extracted MRI characteristics in breast cancer. Journal of magnetic resonance imaging : JMRI 49 (7) (2019)
Ashirbani Saha, Lars J Grimm, Sujata V Ghate, Connie E Kim, Mary S Soo, Sora C Yoon, Maciej A Mazurowski
Machine learning-based prediction of future breast cancer using algorithmically measured background parenchymal enhancement on high-risk screening MRI. Journal of magnetic resonance imaging : JMRI 50 (2) (2019)
Ashirbani Saha, Michael R Harowicz, Lars J Grimm, Connie E Kim, Sujata V Ghate, Ruth Walsh, Maciej A Mazurowski
A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features. British journal of cancer 119 (4) (2018)
Ashirbani Saha, Michael R Harowicz, Elizabeth Hope Cain, Allison H Hall, Eun-Sil Shelley Hwang, Jeffrey R Marks, Paul Kelly Marcom, Maciej A Mazurowski
Intra-tumor molecular heterogeneity in breast cancer: definitions of measures and association with distant recurrence-free survival. Breast cancer research and treatment 172 (1) (2018)
Ashirbani Saha, Michael R Harowicz, Weiyao Wang, Maciej A Mazurowski
A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models. Journal of cancer research and clinical oncology 144 (5) (2018)
Maciej A Mazurowski, Mateusz Buda, Ashirbani Saha, Mustafa R Bashir
Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI. Journal of magnetic resonance imaging : JMRI 49 (4) (2018)
Maciej A Mazurowski, Kal Clark, Nicholas M Czarnek, Parisa Shamsesfandabadi, Katherine B Peters, Ashirbani Saha
Radiogenomics 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. Journal of neuro-oncology 133 (1) (2017)