Name: Vrishank Chandrasekhar
Type: User
Company: Independent Biomedical Informatics Research
Bio: Hi! I am passionate about representation learning in biomedical informatics! I do lots of work in computational pathology and biomarker discovery in EHR. :)
Vrishank Chandrasekhar's Projects
An investigation of associations between gene expression and breast cancer overall survival (OS) through statistical analysis, modeling, and testing.
An integrative computational platform for rapid diabetes detection via biomarker discovery in structured clinical narratives from patient EHR.
A statistical machine learning (ML)-based platform for fetal status prediction via biomarker discovery in unstructured cardiotocography (CTG) waveforms.
Here, we present a GAN for novel face image synthesis, using the "Labeled Faces in the Wild" dataset.
A transformer architecture for breast cancer subtype classification via data-efficient computational pathology.
A transformer-based plant disease diagnostic tool via image analysis and computer vision in leaf snapshots.
Lynbrook ML Club Website!
Testing out different ML methods to detect objects in images of highways and streets. Using deep learning for object detection is a potential solution to prevent mortalities and fatalities on the road.
A novel self-supervised deep learning framework for pulmonary embolism diagnosis via representation learning in computed tomography.
Robot Open Autonomous Racing (ROAR)
An integrative algorithm for survival prediction via biomarker discovery in patients' structured clinical EHR narratives.
A statistical approach to tumor detection using histopathological features from patient EHR.
A convolutional-neural-network (CNN)-based identification module to recognize cancerous tissue in whole-slide images from patient biopsies.
Config files for my GitHub profile.
A bit about me!!!