检索结果 - Simukayi Mutasa

  • Showing 1 - 10 results of 10
Refine Results
  1. 1
    Understanding artificial intelligence based radiology studies: What is overfitting?

    Understanding artificial intelligence based radiology studies: What is overfitting? 由 Simukayi Mutasa, Shawn Sun, Richard Ha

    出版 2020
    获取全文
    Revisão
    加到收藏夹
    Saved in:
  2. 2
    MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling

    MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling 由 Simukayi Mutasa, Peter Chang, Carrie Ruzal‐Shapiro, Rama S. Ayyala

    出版 2018
    获取全文
    Artigo
    加到收藏夹
    Saved in:
  3. 3
    Advanced Deep Learning Techniques Applied to Automated Femoral Neck Fracture Detection and Classification

    Advanced Deep Learning Techniques Applied to Automated Femoral Neck Fracture Detection and Classification 由 Simukayi Mutasa, Sowmya Varada, Akshay Goel, Tony T. Wong, Michael J. Rasiej

    出版 2020
    获取全文
    Artigo
    加到收藏夹
    Saved in:
  4. 4
    A novel CNN algorithm for pathological complete response prediction using an I-SPY TRIAL breast MRI database

    A novel CNN algorithm for pathological complete response prediction using an I-SPY TRIAL breast MRI database 由 Michael Z. Liu, Simukayi Mutasa, Peter Chang, Maham Siddique, Sachin Jambawalikar, Richard Ha

    出版 2020
    获取全文
    Artigo
    加到收藏夹
    Saved in:
  5. 5
    Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement

    Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement 由 Richard Ha, Peter Chang, Eralda Mema, Simukayi Mutasa, Jenika Karcich, Ralph Wynn, Michael Z. Liu, Sachin Jambawalikar

    出版 2018
    获取全文
    Artigo
    加到收藏夹
    Saved in:
  6. 6
    Convolutional Neural Network Using a Breast MRI Tumor Dataset Can Predict Oncotype Dx Recurrence Score

    Convolutional Neural Network Using a Breast MRI Tumor Dataset Can Predict Oncotype Dx Recurrence Score 由 Richard Ha, Peter Chang, Simukayi Mutasa, Jenika Karcich, Sarah Goodman, Elyse Blum, Kevin Kalinsky, Michael Z. Liu, Sachin Jambawalikar

    出版 2018
    获取全文
    Artigo
    加到收藏夹
    Saved in:
  7. 7
    Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm

    Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm 由 Richard Ha, Simukayi Mutasa, Jenika Karcich, Nishant Gupta, Eduardo Pascual Van Sant, John S. Nemer, Mary Sun, Peter Chang, Michael Z. Liu, Sachin Jambawalikar

    出版 2019
    获取全文
    Artigo
    加到收藏夹
    Saved in:
  8. 8
    Fully Automated Segmentation Algorithm for Hematoma Volumetric Analysis in Spontaneous Intracerebral Hemorrhage

    Fully Automated Segmentation Algorithm for Hematoma Volumetric Analysis in Spontaneous Intracerebral Hemorrhage 由 Natasha Ironside, Ching‐Jen Chen, Simukayi Mutasa, Justin Sim, Saurabh Marfatia, David Roh, Dale Ding, Stephan A. Mayer, Angela Lignelli, E. Sander Connolly

    出版 2019
    获取全文 获取全文
    Artigo
    加到收藏夹
    Saved in:
  9. 9
    Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset

    Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset 由 Richard Ha, Christine Chin, Jenika Karcich, Michael Z. Liu, Peter Chang, Simukayi Mutasa, Eduardo Pascual Van Sant, Ralph Wynn, Eileen P. Connolly, Sachin Jambawalikar

    出版 2018
    获取全文
    Artigo
    加到收藏夹
    Saved in:
  10. 10
    Deep learning to detect left ventricular structural abnormalities in chest X-rays

    Deep learning to detect left ventricular structural abnormalities in chest X-rays 由 Shreyas Bhave, Victor Rodriguez, Timothy J. Poterucha, Simukayi Mutasa, Dwight Aberle, Kathleen M. Capaccione, Yibo Chen, Belinda D’Souza, Shifali Dumeer, Jonathan Goldstein, Aaron Hodes, Jay Leb, Matthew P. Lungren, Mitchell D. Miller, David Monoky, Benjamin Navot, Kapil Wattamwar, Anoop Wattamwar, Kevin J. Clerkin, David Ouyang, Euan A. Ashley, Veli K. Topkara, Mathew Maurer, Andrew J. Einstein, Nir Uriel, Shunichi Homma, Allan Schwartz, Diego Jaramillo, Adler Perotte, Pierre Elias

    出版 2024
    获取全文 获取全文
    Artigo
    加到收藏夹
    Saved in:

检索工具: