Autumn 2020-2021 Projects

  • Coronavirus Classification Using Temporal Convolution Networks
    • Joanna Song
  • Multimodal Semantic Embeddings to Reduce Hidden Stratification in Medical Imaging Data
    • Michael Cooper, Kent Vainio
  • Prediction of Gene Expression from Histopathology Images via Deep Learning in Gastric Cancer
    • Rui Yan, Justin Xu Huang, Victoria Valverde
  • Scaling Graph Neural Networks for Drug-Drug Interaction Prediction Using Partitioning and Parallelization
    • Farzaan Kaiyom
  • Skin Lesions: HAM 10000 dataset
    • Anastasia Butskova
  • Predicting Need for Medical Examination of Skin Lesion using Segmentation and Ensemble Models
    • Tom McIlwain
  • Predicting Mental Illness in the Tech Industry
    • Brooke Krajancich
  • Image Classification for Short Time Fourier Transformed ECG Signals of Cardiac Arrhythmias
    • Eajer Toh
  • Multiclass Segmentation on Prostate Cancer (PCa)
    • Samuel Sung
  • Predicting Birth Outcomes for In-Vitro Fertilization using Embryonic Images
    • Noah Jacobson
  • Deep Learning for PRedicting Hospital Admissions due to Chronic Disease Exacerbation during Periods of Bad Air Quality
    • Govind Chada, Ekin Tiu, Kabir Jolly
  • Object Detection for Deep Veins of the Leg and Pelvis
    • Ankit Baghel
  • Predicting Postoperative Cochlear Implant Performance using Multimodal Deep Learning
    • Jennifer Owens, Justin Wang, John Spencer
  • Investigating Self-Supervised Learning for Medical Imaging
    • Abhishek Sinha, Kumar Ayush
  • Using Deep CNNs to Detect COVID-19 Pneumonia in Chest X-rays
    • Sumrin Mudgil
  • Non-Contrast-to-Contrast CT Translation Generative Adversarial Networks for Rapid Detection of Ischemic Stroke
    • Mehmet Giray Ogut
  • Prediction of DNA Methylation Level from DNA Sequence from Germ-line
    • Mohammadmahdi Moqri
  • Assessing Squat Form Using 3D Pose Data
    • Rachel Adenekan, Blake Pagon, Marissa Lee
  • Multi-modal Transformer Learning Medical Visual Representation - An Application Study in Detecting Underrepresented Cardiopulmonary Conditions
    • Qingxi Meng, Claire Zhang
  • Using AI Algorithms for cryo-ET: Identifying Intracellular Macromolecules in Huntington's Disease
    • Lily Xu
  • Deep Learning Predicts The Occurrence of Persistent Post-Concussion Symptoms Following Mild-Traumatic Brain Injuries
    • Janice Yang, Sani Eskinazi, Makena Low
  • Using Deep Learning to Detect Glaucoma from Different Visual Modalities
    • Radwa Hamed
  • Predicting Malnourishment based on Electronic Health Records
    • Boyang Tom Jin, Mihyun Choi
  • Comparison of Embedding Strategies for LSTM based RNN model for Medical Prediction
    • Adam Papini, Saksham Gakhar, Alejandro Salinas
  • Comparing CNN and LSTM Methods for Fall Detection
    • Ariel Leong
  • Drug-Target Interaction Prediction Using Multi-modal Features
    • Mallika Khullar, Sarthak Kanodia