SimukayiMutasaMD

PubMed

• Deep Learning-Assisted Diffusion Tensor Imaging for Evaluation of the Physis and Metaphysis.
  Phuong T Duong, Laura Santos, Hao-Yun Hsu, Sachin Jambawalikar, Simukayi Mutasa, Michael K Nguyen, Andressa Guariento, Diego Jaramillo> ;Journal of Imaging Informatics in Medicine. 2024 Apr 1
• Deep Learning-Assisted Identification of Femoroacetabular Impingement (FAI) on Routine Pelvic Radiographs.
  Michael K Hoy, Vishal Desai, Simukayi Mutasa, Robert C Hoy, Richard Gorniak, Jeffrey A Belair> ;Journal of Imaging Informatics in Medicine. 2024 Feb 1
• 2 citations
  Breast cancer risk prediction combining a convolutional neural network-based mammographic evaluation with clinical factors.
  Alissa Michel, Vicky Ro, Julia E McGuinness, Simukayi Mutasa, Mary Beth Terry, Parisa Tehranifar, Katherine D Crew, Ha, R., Benjamin May, Richard Ha> ;Breast Cancer Research and Treatment. 2023 Jul 1
• 1 citations
  Use of a convolutional neural network-based mammographic evaluation to predict breast cancer recurrence among women with hormone receptor-positive operable breast cancer.
  Julia E McGuinness, Vicky Ro, Simukayi Mutasa, Samuel Pan, Jianhua Hu, Meghna S Trivedi, Melissa K Accordino, Kevin Kalinsky, Dawn L Hershman, Richard S Ha, Katherine ...> ;Breast Cancer Research and Treatment. 2022 Jul 1
• 14 citations
  Deep learning prediction of axillary lymph node status using ultrasound images.
  Shawn Sun, Simukayi Mutasa, Michael Z Liu, John Nemer, Mary Sun, Maham Siddique, Elise Desperito, Sachin Jambawalikar, Richard S Ha> ;Computers in Biology and Medicine. 2022 Apr 1
• 2 citations
  Clinical Artificial Intelligence Applications: Musculoskeletal.
  Simukayi Mutasa, Paul H. Yi> ;Radiologic Clinics of North America. 2021 Nov 1
• 8 citations
  AI MSK clinical applications: orthopedic implants
  Paul H. Yi, Simukayi Mutasa, Jan Fritz> ;Skeletal Radiology. 2021 Aug 5
• 7 citations
  Dynamic Changes of Convolutional Neural Network-based Mammographic Breast Cancer Risk Score Among Women Undergoing Chemoprevention Treatment.
  Haley Manley, Simukayi Mutasa, Peter Chang, Elise Desperito, Katherine D. Crew, Richard Ha> ;Clinical Breast Cancer. 2021 Aug 1
• 4 citations
  Understanding artificial intelligence based radiology studies: CNN architecture
  Simukayi Mutasa, Shawn X Sun, Richard Ha> ;Clinical Imaging. 2021 Jul 7
• 3 citations
  Deciphering musculoskeletal artificial intelligence for clinical applications: how do I get started?
  Simukayi Mutasa, Paul H. Yi> ;Skeletal Radiology. 2021 Jun 30
• 12 citations
  Deep Learning of Computed Tomography Virtual Wedge Resection for Prediction of Histologic Usual Interstitial Pneumonitis.
  Hiram Shaish, Firas S. Ahmed, David J. Lederer, Belinda D’Souza, Paul Armenta, Mary Salvatore, Anjali Saqi, Sophia Huang, Sachin Jambawalikar, Simukayi Mutasa> ;Annals of the American Thoracic Society. 2021 Jan 1
• 18 citations
  Development and external validation of a prognostic tool for COVID-19 critical disease.
  Daniel S. Chow, Justin Glavis-Bloom, Jennifer E. Soun, Brent D. Weinberg, Theresa B Loveless, Xiaohui Xie, Simukayi Mutasa, Edwin S. Monuki, Jung In Park, Daniela A. B...> ;Plos One. 2020 Dec 9
• 20 citations
  A novel CNN algorithm for pathological complete response prediction using an I-SPY TRIAL breast MRI database
  Michael Z. Liu, Simukayi Mutasa, Peter Chang, Maham Siddique, Sachin Jambawalikar, Richard Ha> ;Magnetic Resonance Imaging. 2020 Sep 2
• 64 citations
  Understanding artificial intelligence based radiology studies: What is overfitting?
  Simukayi Mutasa, Shawn H Sun, Richard Ha, Ha, R.> ;Clinical Imaging. 2020 Sep 1
• 15 citations
  Rethinking Greulich and Pyle: A Deep Learning Approach to Pediatric Bone Age Assessment Using Pediatric Trauma Hand Radiographs.
  Ian Pan, Grayson L. Baird, Simukayi Mutasa, Derek Merck, Carrie Ruzal-Shapiro, David W. Swenson, Rama S. Ayyala> ;Radiology. Artificial Intelligence. 2020 Jul 29
• 10 citations
  Channel width optimized neural networks for liver and vessel segmentation in liver iron quantification.
  Michael Z. Liu, Rami Vanguri, Simukayi Mutasa, Richard Ha, Yu-Cheng Liu, Terry M. Button, Sachin Jambawalikar> ;Computers in Biology and Medicine. 2020 May 16
• 29 citations
  Advanced Deep Learning Techniques Applied to Automated Femoral Neck Fracture Detection and Classification
  Simukayi Mutasa, Sowmya L. Varada, Akshay Goel, Tony T. Wong, Michael J. Rasiej> ;Journal of Digital Imaging. 2020 Oct 1
• 4 citations
  Prospective Analysis Using a Novel CNN Algorithm to Distinguish Atypical Ductal Hyperplasia From Ductal Carcinoma in Situ in Breast
  Simukayi Mutasa, Peter Chang, John S Nemer, Eduardo Pascual Van Sant, Mary Sun, Alison McIlvride, Maham Siddique, Richard Ha> ;Clinical Breast Cancer. 2020 Jun 7
• 6 citations
  Potential Role of Convolutional Neural Network Based Algorithm in Patient Selection for DCIS Observation Trials Using a Mammogram Dataset.
  Simukayi Mutasa, Peter Chang, Eduardo Pascual Van Sant, John S Nemer, Michael Z. Liu, Jenika Karcich, Gita Patel, Sachin Jambawalikar, Richard Ha> ;Academic Radiology. 2020 Jun 1
• 17 citations
  Fully Automated Segmentation Algorithm for Perihematomal Edema Volumetry After Spontaneous Intracerebral Hemorrhage.
  Natasha Ironside, Simukayi Mutasa, Justin L. Sim, Dale Ding, Saurabh Marfatiah, David Roh, Sugoto Mukherjee, Karen C. Johnston, Andrew M. Southerland, Stephan A. Mayer...> ;Stroke. 2020 Feb 12
• 28 citations
  Fully Automated Segmentation Algorithm for Hematoma Volumetric Analysis in Spontaneous Intracerebral Hemorrhage
  Natasha Ironside, Ching-Jen Chen, Simukayi Mutasa, Justin L. Sim, Saurabh Marfatia, David Roh, Dale Ding, Stephan A. Mayer, Angela Lignelli, Edward Sander Connolly> ;Stroke. 2019 Nov 18
• 64 citations
  Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset
  Richard Ha, Christine Chin, Jenika Karcich, Michael Z. Liu, Peter Chang, Simukayi Mutasa, Eduardo Pascual Van Sant, Ralph Wynn, Eileen P. Connolly, Sachin Jambawalikar> ;Journal of Digital Imaging. 2019 Oct 1
• 44 citations
  Global Trend in Artificial Intelligence-Based Publications in Radiology From 2000 to 2018.
  Elizabeth West, Simukayi Mutasa, Zelos Zhu, Richard Ha> ;AJR. American Journal of Roentgenology. 2019 Aug 15
• 18 citations
  Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks
  Joseph N. Stember, Haydar Celik, Elizabeth A. Krupinski, Peter Chang, Simukayi Mutasa, Bradford J. Wood, Angela Lignelli, Gul Moonis, Lawrence H. Schwartz, Sachin Jamb...> ;Journal of Digital Imaging. 2019 Aug 1
• 58 citations
  Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm.
  Richard Ha, Simukayi Mutasa, Jenika Karcich, Nishant Gupta, Eduardo Pascual Van Sant, John S Nemer, Mary Sun, Peter Chang, Michael Z. Liu, Sachin Jambawalikar> ;Journal of Digital Imaging. 2019 Apr 1
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Journal Articles

• "Convolutional neural network using a breast MRI tumor dataset can predict Oncotype Dx Recurrence Score"  
  Ha R, Karcich J, Pascual Van Sant E, Mutasa S, Liu M, Chang P, Jambawalikar S, Journal of Magnetic Resonance Imaging, 1/1/2019
• Predicting Post Neoadjuvant Axillary Response Using a Novel Convolutional Neural Network Algorithm  
  Simukayi Mutasa, Eileen Connolly, Richard Ha, Christine Chin, Bret Taback, Annals of Surgical Oncology
• "Convolutional Neural Network Based Breast Cancer Risk Stratification Using a Mammographic Dataset"  
  Ha R, Chang P, Karcich J, Mutasa S, Pascual Van Sant E, Liu MZ, Jambawalikar S, Acad Radiol, 1/31/2018
• "Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset"  
  Ha R, Chin C, Karcich J, Liu MZ, Chang P, Mutasa S, Pascual Van Sant E, Wynn RT, Connolly E, Jambawalikar S, J Digit Imaging, 1/25/2018
• "Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks using MRI dataset"  
  Ha R, Chang P, Karcich J, Mutasa S, Fardanesh R, Wynn RT, Liu MZ, Jambawalikar S, Journal of Digital Imaging, 1/25/2018
• "Predicting Post Neoadjuvant Axillary Response Using A Novel Convolutional Neural Network Algorithm"  
  Ha R, Chang P, Karcich J, Mutasa S, Van Sant EP, Connolly E, Chin C, Taback B, Liu MZ, Jambawalikar S, The Annals of Surgical Oncology, 1/5/2018
• "Prediction of lymph node SUV in oncologic patients using a 3D convolutional neural network; A Proof of Concept Study"  
  Shaish H, Mutasa S, Ahmed F, Chang P, Schwartz L, The American Journal of Roentgenology, 1/1/2018
• MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling  
  Mutasa, S., Chang, P. D., Ruzal-Shapiro, C., & Ayyala, R., Journal of Digital Imaging, 1/1/2018
• Images in COPD: Bullous Emphysema with Mycetoma  
  Mutasa, S., Chronic Obstructive Pulmonary Diseases, 1/1/2017
• Genetic dysregulation in recurrent respiratory papillomatosis  
  Rodman, R., Mutasa, S., Dupuis, C., Spratt, H., & Underbrink, M, The Laryngoscope, 1/1/2014
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Abstracts/Posters

• "Tracking Patient Movement for Augmented Reality Assisted Fluoroscopic Procedures Using Convolutional Neural Networks."
  Mutasa, S. Wu, B. Loeb, G. Chang, P. Marfatia, S. Meyers, P., Society of Imaging Informatics Meeting, National Harbor, MD, 1/31/2018
• "Automated femoral neck fracture detection and classification utilizing advanced Deep Learning techniques."
  Mutasa S, Varada S, Goel A, Wong T, Rasiej M, Radiological Society of North America Meeting, Chicago, IL, 1/25/2018
• "Patient Selection for DCIS Observation Trials (COMET and LORIS), Are They Truly Low Risk?"
  Patel, G. Pascual Van Sant, E. Mutasa, S. Wynn, R. Ha, R., American Roentgen Ray Society Meeting, Washington, DC, 1/22/2018
• "Categorizing Peripheral Neuropathy Utilizing Deep Learning."
  Okonkwo, N. Mutasa, S., Ho, C., United States & Canadian Academy of Pathology Meeting, Vancouver, BC, 1/17/2018
• "Distinguishing Atypical Ductal Dysplasia from Ductal Carcinoma in Situ: Convolutional Neural Network Based Machine Learning Approach Using Mammographic Image Data."
  Mutasa, S. Jambawalikar, S. Lu, M. Pascual Van Sant, E. Ha, R., American Society of Breast Surgeons Meeting, Orlando, FL, 1/2/2018
• "Targeting Molecular Mechanisms for the Treatment of Recurrent Respiratory Papillomatosis."
  Mutasa, S., Underbrink, M, UTMB (University of Texas Medical Branch) Medical Student Summer Research Fair, Galveston, TX, 1/1/2012
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Lectures

• "A fully automated segmentation algorithm for the volumetric analysis of perihematomal edema in patients with spontaneous intracerebral hemorrhage." 
  Honolulu, HI - 1/6/2019
• "Predicting breast cancer molecular subtype with an MRI data set." 
  National Harbor, MD - 1/31/2018
• "Potential Role of Convolutional Neural Network based Algorithms in Patient Selection for DCIS Observation Trials." 
  Chicago, IL - 1/25/2018
• "Utilize deep learning to obtain preoperative measurements from radiographs in patients with femoroacetabular impingement." 
  Chicago, IL - 1/25/2018
• "Convolutional Neural Network-based Breast Cancer Risk Stratification Using a Mammographic Dataset." 
  Chicago, IL - 1/25/2018
• "Automated femoral neck fracture detection and classification utilizing advanced Deep Learning techniques." 
  Berlin, Germany - 1/24/2018
• "Augmented Reality Guidance for Cerebral Angiography." 
  Los Angeles, CA - 1/18/2018
• "Motion tolerant super resolution reconstruction from multi-stack MRI data." 
  Paris, France - 1/16/2018
• "Advanced data augmentation techniques for medical deep learning applications." 
  San Francisco, CA - 1/9/2018
• "Predicting Glioblastoma Tumor Recurrence vs Pseudoprogression Utilizing Convolutional Neural Networks." 
  Vancouver, BC - 1/2/2018
• "A deep learning approach to automated cerebral aneurysm detection on magnetic resonance angiograms with application to automatically predict the size of basilar tip a... 
  Vancouver, BC - 1/2/2018
• "Deep learning through convolutional neural networks using a breast MRI tumor dataset can predict neoadjuvant chemotherapy response." 
  Chicago, IL - 1/1/2017
• "Gene Expression Profiles in Recurrent Respiratory Papillomatosis." 
  1/1/2013
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