Prateek Prasanna

Prateek Prasanna, Anant Madabhushi, Shubham Jain, 2013, 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops.

Vascular Network Organization via Hough Transform (VaNgOGH): A Novel Radiomic Biomarker for Diagnosis and Treatment Response

Prateek Prasanna, Anant Madabhushi, Nathaniel Braman, 2018, MICCAI.

Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores

Prateek Prasanna, Anant Madabhushi, Germán Corredor, 2020, Medical Imaging: Digital Pathology.

A combination of intra- and peritumoral features on baseline CT scans is associated with overall survival in non-small cell lung cancer patients treated with immune checkpoint inhibitors: a multi-agent multi-site study

Prateek Prasanna, Anant Madabhushi, Kaustav Bera, 2019, Medical Imaging.

Texture descriptors to distinguish radiation necrosis from recurrent brain tumors on multi-parametric MRI

Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, 2014, Medical Imaging.

Radiographic-Deformation and Textural Heterogeneity (r-DepTH): An Integrated Descriptor for Brain Tumor Prognosis

Prateek Prasanna, Anant Madabhushi, Jhimli Mitra, 2017, MICCAI.

NIMG-61. USE OF TEXTURAL RADIOMIC MAPS IN A 3D CONVOLUTIONAL NEURAL NETWORK FRAMEWORK CAN AUGMENT GLIOMA LESION SEGMENTATION

Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, 2017 .

A combination of intra- and peri-tumoral deep features from prostate bi-parametric MRI can distinguish clinically significant and insignificant prostate cancer

Prateek Prasanna, Anant Madabhushi, Amogh Hiremath, 2020, Medical Imaging.

RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction

Prateek Prasanna, Anant Madabhushi, Jacob Antunes, 2017, MICCAI.

Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): A new radiomics descriptor

Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, 2016, Scientific Reports.

Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma?—A Feasibility Study

Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, 2020, Frontiers in Computational Neuroscience.

Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): Distinguishing Tumor Confounders and Molecular Subtypes on MRI

Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, 2014, MICCAI.

Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI

Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, 2019, Medical Imaging.

EventScore: An Automated Real-time Early Warning Score for Clinical Events pdf

Prateek Prasanna, Ibrahim Hammoud, IV Ramakrishnan, 2021, 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI).

Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers

Can Fahrettin Koyuncu, Andrew Janowczyk, Prateek Prasanna, 2020, Medical Image Anal..

Radiologically Defined Tumor-habitat Adjacency as a Prognostic Biomarker in Glioblastoma

Dimitris Samaras, Prateek Prasanna, Xuan Xu, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer

Prateek Prasanna, Saarthak Kapse, Fan Wang, 2021, IPMI.

Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction

Prateek Prasanna, Aishik Konwer, Tej Phatak, 2021, MICCAI.

Chest Radiograph Disentanglement for COVID-19 Outcome Prediction

Prateek Prasanna, Huidong Liu, Joseph Bae, 2021, MICCAI.

Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms

Dimitris Samaras, Prateek Prasanna, Tej Phatak, 2021, MICCAI.

Imaging Features of Vessels and Leakage Patterns Predict Extended Interval Aflibercept Dosing Using Ultra-Widefield Angiography in Retinal Vascular Disease: Findings From the PERMEATE Study

Prateek Prasanna, Anant Madabhushi, Justis P. Ehlers, 2021, IEEE Transactions on Biomedical Engineering.

Lung Swapping Autoencoder: Learning a Disentangled Structure-texture Representation of Chest Radiographs pdf

Dimitris Samaras, Prateek Prasanna, Lei Zhou, 2022, ArXiv.