Spatial Arrangement of Neoplastic Lymphocytes Predicts Molecular Subtypes in Diffuse Large B-cell Lymphoma
Published in USCAP (Boston, USA). Mar 2025, 2025
Podium presentation at USCAP (Boston, USA). Mar 2025
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Publications
Artificial intelligence-based virtual staining platform for identifying tumor-associated macrophages from hematoxylin and eosin-stained images
Published in European Journal of Cancer, 2025, 2025
European Journal of Cancer, Volume 220, 2025, 115390, ISSN 0959-8049
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Explainable AI Better Predicts 3-Year MACE Risk Compared to Clinical and ASCVD Models in the UK Biobank Cohort
Published in AHA, Nov 2024, 2024
Digital poster presentation at AHA 2024
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GraphPrint: Combining Traditional Fingerprint with Graph Neural Networks For Drug Target Prediction
Published in NEURIPS, 2023
Combining traditional molecular and protein features with 3D features from graph neural network for drug target affinity prediction.
Class-Incremental Continual Learning for General Purpose Healthcare Models
Published in NEURIPS, 2023
Building medical imaging AI that can learn new diseases without catastrophic forgetting on previous tasks, in different medical modalities, specialties, and hospitals.
Multi-Modal Deep Feature Integration for Alzheimer’s Disease Staging
Published in IEEE BIBM conference, 2023
Learning Alzheimer’s disease stage classification using multimodal data: MRI, PET, EHR, and Genomics data. Published at IEEE BIBM conference 2023
Autonomous Soft Tissue Retraction Using Demonstration-Guided Reinforcement Learning
Published in MICCAI conference, 2023
Learning to control DaVinci surgical robot for soft tissue manipulation using expert demonstrations.
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Multi-Modality Deep Learning Methods to Learn Alzheimer’s Disease Classification
Published in Georgia Institute of Technology, 2023
Paper presentation at Suddath Symposium(Biomedical Informatics and AI for Biodiscovery and Healthcare) Georgia Institute of Technology. Mar 2023
Roadmap to Autonomous Surgery - A Framework to Surgical Autonomy
Published in arxiv, 2022
We break down the path of surgical automation into features required and current challenges and advances required to make this happen
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Validation of expert system enhanced deep learning algorithm for automated screening for COVID-Pneumonia on chest X-rays
Published in Nature - Scientific Reports, 2021
We describe CovBaseAI, an explainable tool using an ensemble of three DL models and an expert decision system (EDS) for COVID-Pneumonia diagnosis, trained entirely on pre-COVID-19 datasets.
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Personalized Brain State Targeting via Reinforcement Learning
Published in Neuromatch academy, 2020
We propose a novel use of reinforcement learning as an active closed-loop assistive system that learns in real time to lead any brain state to a given goal state.
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In-Silico Repositioning of Drugs for Neurofibromatosis 2 Vestibular Schwannoma using Machine Learning
Published in Synapse, 2020
Deep learning based model to re-purpose drugs drugs to new diseases(Neurofibromatosis 2 Vestibular Schwannoma). Part of submission for Hack4Rare hacakathon by MIT.
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