research

health ai x neuro work.

2024

  1. EfficientMedSAM: Accelerating Medical Image Segmentation via Neural Architecture Search and Knowledge Distillation
    Arnold Caleb Asiimwe, William Das, Hadjer Benmeziane, and 1 more author
    In 2024 IEEE International Conference on Edge Computing and Communications (EDGE), 2024
    DOI

2021

  1. A Robust Machine Learning Based Framework for the Automated Detection of ADHD Using Pupillometric Biomarkers and Time Series Analysis
    William Das and Shubh Khanna
    Scientific Reports, 2021
    Abs DOI
  2. A Deep Learning Approach for Segmentation, Classification, and Visualization of 3-D High-Frequency Ultrasound Images of Mouse Embryos
    Ziming Qiu, Tongda Xu, Jack Langerman, and 2 more authors
    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2021
    DOI

2020

  1. Deep Mouse: An End-to-End Auto-Context Refinement Framework for Brain Ventricle & Body Segmentation in Embryonic Mice Ultrasound Volumes
    Tongda Xu, Ziming Qiu, William Das, and 1 more author
    In 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020
    DOI
  2. A Novel Application for the Efficient and Accessible Diagnosis of ADHD Using Machine Learning (Extended Abstract)
    Shubh Khanna and William Das
    In 2020 IEEE / ITU International Conference on Artificial Intelligence for Good (AI4G), 2020
    DOI