SimukayiMutasaMD

PubMed

• Gradient-Based Saliency Maps Are Not Trustworthy Visual Explanations of Automated AI Musculoskeletal Diagnoses.
  Kesavan Venkatesh, Simukayi Mutasa, Fletcher Moore, Jeremias Sulam, Paul H Yi
  Journal of Imaging Informatics in Medicine. 2024-10-01
• 1 citations
  Effects of vitamin D supplementation on a deep learning-based mammographic evaluation in SWOG S0812.
  Julia E McGuinness, Garnet L Anderson, Simukayi Mutasa, Dawn L Hershman, Mary Beth Terry
  JNCI Cancer Spectrum. 2024-07-01
• 6 citations
  Deep learning to detect left ventricular structural abnormalities in chest X-rays.
  Shreyas Bhave, Victor Rodriguez, Timothy Poterucha, Simukayi Mutasa, Dwight Aberle
  European Heart Journal. 2024-06-07

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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