Prateek Prasanna

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 82

Top Topics

Chest Radiographs

Medical Image Segmentation

Survival Prediction

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin M. Kurç, Joel H. Saltz, Dimitris Samaras
PathLDM: Text conditioned Latent Diffusion Model for Histopathology. WACV (2024)
Saarthak Kapse, Srijan Das, Jingwei Zhang, Rajarsi R. Gupta, Joel H. Saltz, Dimitris Samaras, Prateek Prasanna
Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning. Medical Image Anal. 93 (2024)
Jennifer Salguero, Prateek Prasanna, Germán Corredor, Angel Cruz-Roa, David Becerra, Eduardo Romero
Data distillation in computational pathology by choosing few representants of the original variance: A use case in ovarian cancer. Expert Syst. Appl. 245 (2024)
Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen
Learning to Segment from Noisy Annotations: A Spatial Correction Approach. ICLR (2023)
Alexandros Graikos, Srikar Yellapragada, Minh-Quan Le, Saarthak Kapse, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras
Learned representation-guided diffusion models for large-image generation. CoRR (2023)
Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin M. Kurç, Joel H. Saltz, Dimitris Samaras
PathLDM: Text conditioned Latent Diffusion Model for Histopathology. CoRR (2023)
Xuan Xu, Saarthak Kapse, Rajarsi Gupta, Prateek Prasanna
ViT-DAE: Transformer-driven Diffusion Autoencoder for Histopathology Image Analysis. CoRR (2023)
Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
Token Sparsification for Faster Medical Image Segmentation. IPMI (2023)
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning. CoRR (2023)
Yunfan Li, Himanshu Gupta, Haibin Ling, I. V. Ramakrishnan, Prateek Prasanna, Georgios Georgakis, Aaron Sasson
Automated Assessment of Critical View of Safety in Laparoscopic Cholecystectomy. CoRR (2023)
Saarthak Kapse, Srijan Das, Jingwei Zhang, Rajarsi R. Gupta, Joel H. Saltz, Dimitris Samaras, Prateek Prasanna
Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning. CoRR (2023)
Saarthak Kapse, Srijan Das, Prateek Prasanna
CD-Net: Histopathology Representation Learning Using Context-Detail Transformer Network. ISBI (2023)
Aishik Konwer, Xiaoling Hu, Joseph Bae, Xuan Xu, Chao Chen, Prateek Prasanna
Enhancing Modality-Agnostic Representations via Meta-learning for Brain Tumor Segmentation. ICCV (2023)
Aishik Konwer, Xiaoling Hu, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation. CoRR (2023)
Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel H. Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras
SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology. ISIC/Care-AI/MedAGI/DeCaF@MICCAI (2023)
Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
Self Pre-Training with Masked Autoencoders for Medical Image Classification and Segmentation. ISBI (2023)
Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel H. Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras
SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology. CoRR (2023)
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras
Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology. IPMI (2023)
Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology. CoRR (2023)
Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen
Learning to Segment from Noisy Annotations: A Spatial Correction Approach. CoRR (2023)
Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen
Topology-Aware Uncertainty for Image Segmentation. CoRR (2023)
Aishik Konwer, Chao Chen, Prateek Prasanna
MagNET: Modality-Agnostic Network for Brain Tumor Segmentation and Characterization with Missing Modalities. MLMI@MICCAI (1) (2023)
Yunfan Li, Himanshu Gupta, Haibin Ling, I. V. Ramakrishnan, Prateek Prasanna, Georgios Georgakis, Aaron Sasson
Automated Assessment of Critical View of Safety in Laparoscopic Cholecystectomy. ICHI (2023)
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
Prompt-MIL: Boosting Multi-instance Learning Schemes via Task-Specific Prompt Tuning. MICCAI (8) (2023)
Xuan Xu, Saarthak Kapse, Rajarsi Gupta, Prateek Prasanna
ViT-DAE: Transformer-Driven Diffusion Autoencoder for Histopathology Image Analysis. DGM4MICCAI (2023)
Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
Token Sparsification for Faster Medical Image Segmentation. CoRR (2023)
Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen
Topology-Aware Uncertainty for Image Segmentation. NeurIPS (2023)
Moinak Bhattacharya, Prateek Prasanna
Audio-visual feature fusion for improved thoracic disease classification. Medical Imaging: Computer-Aided Diagnosis (2023)
Yunfan Li, Vinayak Shenoy, Prateek Prasanna, I. V. Ramakrishnan, Haibin Ling, Himanshu Gupta
Surgical Phase Recognition in Laparoscopic Cholecystectomy. CoRR (2022)
Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Amit Gupta, Dimitris Samaras, Prateek Prasanna
Lung Swapping Autoencoder: Learning a Disentangled Structure-texture Representation of Chest Radiographs. CoRR (2022)
Nathaniel Braman, Prateek Prasanna, Kaustav Bera, Mehdi Alilou, Mohammadhadi Khorrami, Patrick Leo, Maryam Etesami, Manasa Vulchi, Paulette Turk, Amit Gupta, Prantesh Jain, Pingfu Fu, Nathan Pennell, Vamsidhar Velcheti, Jame Abraham, Donna Plecha, Anant Madabhushi
Novel Radiomic Measurements of Tumor- Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers. CoRR (2022)
Aishik Konwer, Prateek Prasanna
Clinical outcome prediction in COVID-19 using self-supervised vision transformer representations. Medical Imaging: Computer-Aided Diagnosis (2022)
Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations. CoRR (2022)
Xuan Xu, Prateek Prasanna
Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep Anchor Attention Learning with Vision Transformer. CoRR (2022)
Ibrahim Hammoud, Prateek Prasanna, I. V. Ramakrishnan, Adam Singer, Mark Henry, Henry C. Thode
EventScore: An Automated Real-time Early Warning Score for Clinical Events. ICHI (2022)
Xuan Xu, Prateek Prasanna
Brain Cancer Survival Prediction on Treatment-Naïve MRI using Deep Anchor Attention Learning with Vision Transformer. ISBI (2022)
Moinak Bhattacharya, Shubham Jain, Prateek Prasanna
RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-Guided Disease Classification. ECCV (21) (2022)
Jacob T. Antunes, Marwa Ismail, Imran Hossain, Zhoumengdi Wang, Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, Satish E. Viswanath
RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to Treatment. IEEE J. Biomed. Health Informatics 26 (6) (2022)
Marwa Ismail, Prateek Prasanna, Kaustav Bera, Volodymyr Statsevych, Virginia B. Hill, Gagandeep Singh, Sasan Partovi, Niha G. Beig, Sean D. McGarry, Peter S. LaViolette, Manmeet Ahluwalia, Anant Madabhushi, Pallavi Tiwari
Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma. IEEE Trans. Medical Imaging 41 (7) (2022)
Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin, Mutshipay Mpoy, Katherine Chung, Gagandeep Singh, Mary M. Saltz, Tahsin M. Kurç, Joel H. Saltz, Apostolos Tassiopoulos, Prateek Prasanna, Chao Chen
Learning Topological Interactions for Multi-Class Medical Image Segmentation. CoRR (2022)
Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
Self Pre-training with Masked Autoencoders for Medical Image Analysis. CoRR (2022)
Moinak Bhattacharya, Shubham Jain, Prateek Prasanna
GazeRadar: A Gaze and Radiomics-Guided Disease Localization Framework. MICCAI (3) (2022)
Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin, Mutshipay Mpoy, Katherine Chung, Gagandeep Singh, Mary M. Saltz, Tahsin M. Kurç, Joel H. Saltz, Apostolos Tassiopoulos, Prateek Prasanna, Chao Chen
Learning Topological Interactions for Multi-Class Medical Image Segmentation. ECCV (24) (2022)
Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras
Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology. CoRR (2022)
Saarthak Kapse, Srijan Das, Prateek Prasanna
CD-Net: Histopathology Representation Learning using Pyramidal Context-Detail Network. CoRR (2022)
Moinak Bhattacharya, Shubham Jain, Prateek Prasanna
RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-guided Disease Classification. CoRR (2022)
Saarthak Kapse, Luke Torre-Healy, Richard A. Moffitt, Rajarsi Gupta, Prateek Prasanna
Subtype-Specific Spatial Descriptors of Tumor-Immune Microenvironment are Prognostic of Survival in Lung Adenocarcinoma. ISBI (2022)
Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations. CVPR (2022)
Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Prateek Prasanna
Attention-Based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction. MICCAI (5) (2021)
Ibrahim Hammoud, Prateek Prasanna, I. V. Ramakrishnan, Adam Singer, Mark Henry, Henry C. Thode
EventScore: An Automated Real-time Early Warning Score for Clinical Events. CoRR (2021)
Xuan Xu, Dimitris Samaras, Prateek Prasanna
Radiologically Defined Tumor-habitat Adjacency as a Prognostic Biomarker in Glioblastoma. EMBC (2021)
Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen
TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer. CoRR (2021)
Sudhir Suman, Gagandeep Singh, Nicole Sakla, Rishabh Gattu, Jeremy Green, Tej Phatak, Dimitris Samaras, Prateek Prasanna
Attention Based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms. MICCAI (7) (2021)
Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Amit Gupta, Chao Chen, Joel H. Saltz, Prateek Prasanna
Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network. MIDL (2021)
Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Prateek Prasanna
Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction. CoRR (2021)
Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen
TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer. IPMI (2021)
Divek Patel, Connor Cowan, Prateek Prasanna
Predicting Mutation Status and Recurrence Free Survival in Non-Small Cell Lung Cancer: A Hierarchical ct Radiomics - Deep Learning Approach. ISBI (2021)
Marwa Ismail, Prateek Prasanna, Kaustav Bera, Volodymyr Statsevych, Virginia Hill, Gagandeep Singh, Sasan Partovi, Niha G. Beig, Sean D. McGarry, Peter S. LaViolette, Manmeet Ahluwalia, Anant Madabhushi, Pallavi Tiwari
Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma. CoRR (2021)
Sudhir Suman, Gagandeep Singh, Nicole Sakla, Rishabh Gattu, Jeremy Green, Tej Phatak, Dimitris Samaras, Prateek Prasanna
Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms. CoRR (2021)
Azam Moosavi, Natalia Figueiredo, Prateek Prasanna, Sunil K. Srivastava, Sumit Sharma, Anant Madabhushi, Justis P. Ehlers
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. IEEE Trans. Biomed. Eng. 68 (6) (2021)
Cheng Lu, Can Fahrettin Koyuncu, Germán Corredor, Prateek Prasanna, Patrick Leo, Xiangxue Wang, Andrew Janowczyk, Kaustav Bera, James Lewis, Vamsidhar Velcheti, Anant Madabhushi
Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers. Medical Image Anal. 68 (2021)
Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Dimitris Samaras, Prateek Prasanna
Chest Radiograph Disentanglement for COVID-19 Outcome Prediction. MICCAI (7) (2021)
Connor Cowan, Joseph Bae, Gagandeep Singh, Rohit Khullar, Shrey Shah, Nikhil Madan, Prateek Prasanna
Evolution of chest radiograph radiomics and association with respiratory and inflammatory parameters in COVID-19 patients undergoing prone ventilation: preliminary findings. Medical Imaging: Computer-Aided Diagnosis (2021)
Marwa Ismail, Ramon Correa, Kaustav Bera, Ruchika Verma, Anas Saeed Bamashmos, Niha G. Beig, Jacob Antunes, Prateek Prasanna, Volodymyr Statsevych, Manmeet Ahluwalia, Pallavi Tiwari
Spatial-And-Context Aware (SpACe) "Virtual Biopsy" Radiogenomic Maps to Target Tumor Mutational Status on Structural MRI. MICCAI (2) (2020)
Marwa Ismail, Virginia Hill, Volodymyr Statsevych, Evan Mason, Ramon Correa, Prateek Prasanna, Gagandeep Singh, Kaustav Bera, Rajat Thawani, Manmeet Ahluwalia, Anant Madabhushi, Pallavi Tiwari
Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma? - A Feasibility Study. Frontiers Comput. Neurosci. 14 (2020)
Ruiwen Ding, Prateek Prasanna, Germán Corredor, Cheng Lu, Priya Velu, Khoi Le, Patrick Leo, Niha G. Beig, Vamsidhar Velcheti, David L. Rimm, Kurt A. Schalper, Anant Madabhushi
Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores. Medical Imaging: Digital Pathology (2020)
Marwa Ismail, Virginia Hill, Volodymyr Statsevych, Evan Mason, Ramon Correa, Prateek Prasanna, Gagandeep Singh, Kaustav Bera, Rajat Thawani, Anant Madabhushi, Manmeet Ahluwalia, Pallavi Tiwari
Can tumor location on pre-treatment MRI predict likelihood of pseudo-progression versus tumor recurrence in Glioblastoma? A feasibility study. CoRR (2020)
Marwa Ismail, Ramon Correa, Kaustav Bera, Ruchika Verma, Anas Saeed Bamashmos, Niha G. Beig, Jacob Antunes, Prateek Prasanna, Volodymyr Statsevych, Manmeet Ahluwalia, Pallavi Tiwari
Spatial-And-Context aware (SpACe) "virtual biopsy" radiogenomic maps to target tumor mutational status on structural MRI. CoRR (2020)
Amogh Hiremath, Rakesh Shiradkar, Nathaniel Braman, Prateek Prasanna, Ardeshir R. Rastinehad, Andrei Purysko, Anant Madabhushi
A combination of intra- and peri-tumoral deep features from prostate bi-parametric MRI can distinguish clinically significant and insignificant prostate cancer. Medical Imaging: Computer-Aided Diagnosis (2020)
Joseph Bae, Saarthak Kapse, Gagandeep Singh, Tej Phatak, Jeremy Green, Nikhil Madan, Prateek Prasanna
Predicting Mechanical Ventilation Requirement and Mortality in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study. CoRR (2020)
David Paredes, Prateek Prasanna, Christina Preece, Rajarsi Gupta, Farzad Fereidouni, Dimitris Samaras, Tahsin M. Kurç, Richard M. Levenson, Patricia Thompson-Carino, Joel H. Saltz, Chao Chen
Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer. ECCV Workshops (1) (2020)
Niha G. Beig, Prateek Prasanna, Virginia Hill, Ruchika Verma, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari
Radiogenomic characterization of response to chemo-radiation therapy in glioblastoma is associated with PI3K/AKT/mTOR and apoptosis signaling pathways. Medical Imaging: Computer-Aided Diagnosis (2019)
Mohammadhadi Khorrami, Mehdi Alilou, Prateek Prasanna, Pradnya Patil, Pirya Velu, Kaustav Bera, Pingfu Fu, Vamsidhar Velcheti, Anant Madabhushi
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. Medical Imaging: Computer-Aided Diagnosis (2019)
Prateek Prasanna, Justis Ehlers, Nathaniel Braman, Natalia Figueredo, Vishal Bobba, Sumit Sharma, Sunil Srivastava, Anant Madabhushi
Morphology of vascular network in eyes with diabetic macular edema varies based on tolerance of aflibercept treatment interval length: preliminary findings. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
Sukanya Iyer, Marwa Ismail, Benita Tamrazi, Ashley Margol, Ruchika Verma, Ramon Correa, Prateek Prasanna, Niha G. Beig, Kaustav Bera, Volodymyr Statsevych, Alexander R. Judkins, Anant Madabhushi, Pallavi Tiwari
Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI. Medical Imaging: Computer-Aided Diagnosis (2019)
Prateek Prasanna, Justis Ehlers, Vishal Bobba, Natalia Figueredo, Cheng Lu, Sumit Sharma, Sunil Srivastava, Anant Madabhushi
Spatial arrangement of leakage patterns in diabetic macular edema is associated with tolerance of aflibercept treatment interval length: preliminary findings. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
Cheng Lu, Xiangxue Wang, Prateek Prasanna, Germán Corredor, Geoffrey Sedor, Kaustav Bera, Vamsidhar Velcheti, Anant Madabhushi
Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer. MICCAI (2) (2018)
Nathaniel Braman, Prateek Prasanna, Mehdi Alilou, Niha G. Beig, Anant Madabhushi
Vascular Network Organization via Hough Transform (VaNgOGH): A Novel Radiomic Biomarker for Diagnosis and Treatment Response. MICCAI (2) (2018)
Prateek Prasanna, Jhimli Mitra, Niha G. Beig, Sasan Partovi, Gagandeep Singh, Marco Pinho, Anant Madabhushi, Pallavi Tiwari
Radiographic-Deformation and Textural Heterogeneity (r-DepTH): An Integrated Descriptor for Brain Tumor Prognosis. MICCAI (2) (2017)
Jacob Antunes, Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, Satish Viswanath
RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction. MICCAI (2) (2017)
Niha G. Beig, Jay Patel, Prateek Prasanna, Sasan Partovi, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari
Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma. Medical Imaging: Computer-Aided Diagnosis (2017)
Prateek Prasanna, Kristin J. Dana, Nenad Gucunski, Basily B. Basily, Hung Manh La, Ronny Salim Lim, Hooman Parvardeh
Automated Crack Detection on Concrete Bridges. IEEE Trans Autom. Sci. Eng. 13 (2) (2016)
Pallavi Tiwari, Prateek Prasanna, Lisa Rogers, Leo Wolansky, Chaitra Badve, Andrew Sloan, Mark Cohen, Anant Madabhushi
Texture descriptors to distinguish radiation necrosis from recurrent brain tumors on multi-parametric MRI. Medical Imaging: Computer-Aided Diagnosis (2014)
Prateek Prasanna, Pallavi Tiwari, Anant Madabhushi
Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): Distinguishing Tumor Confounders and Molecular Subtypes on MRI. MICCAI (3) (2014)
Prateek Prasanna, Shubham Jain, Neelakshi Bhagat, Anant Madabhushi
Decision support system for detection of diabetic retinopathy using smartphones. PervasiveHealth (2013)