Area of research
Radiology, Nuclear Medicine and Imaging · Computer Vision and Pattern Recognition
Research interest
Research interests include Medical Image Segmentation Techniques, Optical Imaging and Spectroscopy Techniques, Radiomics and Machine Learning in Medical Imaging, and AI in cancer detection.
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
Extended reality for biomedicine
MRI-Based Deep Learning Method for Classification of IDH Mutation Status
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results
Automatic detection of head and neck squamous cell carcinoma on histologic slides using hyperspectral microscopic imaging
Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and machine learning
Band selection for oxygenation estimation with multispectral/hyperspectral imaging
Hyperspectral and multispectral imaging in digital and computational pathology: a systematic review [Invited]
Tumor detection of the thyroid and salivary glands using hyperspectral imaging and deep learning
Hyperspectral Imaging for the Detection of Glioblastoma Tumor Cells in H&E Slides Using Convolutional Neural Networks
Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images
Graph‐convolutional‐network‐based interactive prostate segmentation in MR images
In-Vivo and Ex-Vivo Tissue Analysis through Hyperspectral Imaging Techniques: Revealing the Invisible Features of Cancer
Deep Learning-Based Framework for In Vivo Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain
Hyperspectral Imaging of Head and Neck Squamous Cell Carcinoma for Cancer Margin Detection in Surgical Specimens from 102 Patients Using Deep Learning
Head and Neck Cancer Detection in Digitized Whole-Slide Histology Using Convolutional Neural Networks
Optical biopsy of head and neck cancer using hyperspectral imaging and convolutional neural networks
Hyperspectral imaging for head and neck cancer detection: specular glare and variance of the tumor margin in surgical specimens
Adaptive deep learning for head and neck cancer detection using hyperspectral imaging
Surgical aid visualization system for glioblastoma tumor identification based on deep learning and in-vivo hyperspectral images of human patients
Histopathology Feature Mining and Association with Hyperspectral Imaging for the Detection of Squamous Neoplasia
Task-specific multispectral band selection
arXiv (Cornell University) 2019cited by 0position: middle
PSNet: prostate segmentation on MRI based on a convolutional neural network
Accurate vessel extraction via tensor completion of background layer in X-ray coronary angiograms
Tumor margin classification of head and neck cancer using hyperspectral imaging and convolutional neural networks
Optical biopsy of head and neck cancer using hyperspectral imaging and convolutional neural networks
Progression of Medial Arterial Calcification in CKD
Prospective evaluation of fluciclovine ( 18 F) PET-CT and MRI in detection of recurrent prostate cancer in non-prostatectomy patients
Heart chamber segmentation from CT using convolutional neural networks
Domain and task specific multispectral band selection (Conference Presentation)