Epileptogenic zone localization based on resting state interictal MEG recordings (MEG Epileptic Spike Detection Algorithms)

Projects:Deep Learning Based Prediction Approach for Functional Small AirwayDisease Regions on 2-Dimentional (2D) CT Expiratory Images / Feb 2018 – Apr 2018The main goal of this project was to develop cost and time efficient automatedpipeline for extracting functional small airway diseased regions using machinelearning and medical imaging.2. 3D and 2D Convolution Neural Networks for Predicting Jacobian Measureof Volume Change in Mild and Severe Chronic Obstructive… Show more Projects:Deep Learning Based Prediction Approach for Functional Small AirwayDisease Regions on 2-Dimentional (2D) CT Expiratory Images / Feb 2018 – Apr 2018The main goal of this project was to develop cost and time efficient automatedpipeline for extracting functional small airway diseased regions using machinelearning and medical imaging.2. 3D and 2D Convolution Neural Networks for Predicting Jacobian Measureof Volume Change in Mild and Severe Chronic Obstructive PulmonaryDisease (COPD) Subjects. / June 2018 – Dec 2018Deep learning pipeline development to predict the change in lung volume(between inspiration and expiration) using Jacobin metric on COPD – Gendataset.3. Heart and pectoral muscles Segmentation Segmenting Heart and pectoral muscles using image processing on CT scans Show less

Graphical User Interface: Visualization of Sequential Treatments inMetastatic Breast Cancer (MBC) for Improving Survival of CancerPatients / Sep 2016 – May 2018Designed a novel treatment visualization tool in MATLAB for researchers andclinicians to visualizes the treatment sequencing of MBC dataset.The main goal of this visualization tool is to understand the relationshipbetween treatment sequencing and survival, which can be important inpredicting optimal sequencing… Show more Graphical User Interface: Visualization of Sequential Treatments inMetastatic Breast Cancer (MBC) for Improving Survival of CancerPatients / Sep 2016 – May 2018Designed a novel treatment visualization tool in MATLAB for researchers andclinicians to visualizes the treatment sequencing of MBC dataset.The main goal of this visualization tool is to understand the relationshipbetween treatment sequencing and survival, which can be important inpredicting optimal sequencing treatment for MBC patients. Show less

Image Processing automated algorithms to rapidly and quantitatively evaluatethe normal and abnormal features on CXRs to quickly determine lung volumes,the nature of respiratory pathology and its magnitude.