Prateek Prasanna

131 papers A* 9A 1Misc 1Journal 63Unranked 57

Year	Rank	Type	Title / Venue / Authors
2026	Misc	`conf`	Poster: A Multi-Modal Autonomous Tutoring System for Indian Percussion. HotMobile Vignesh A. M. Raja, Prateek Prasanna, Anu G. Bourgeois, Ashwin Ashok
2026	J	`jnl`	Structure-Guided Histopathology Synthesis via Dual-LoRA Diffusion. CoRR Xuan Xu, Prateek Prasanna
2026	J	`jnl`	SuperDiff: A diffusion super-resolution method for digital pathology with comprehensive quality assessment. Medical Image Anal. Xuan Xu, Saarthak Kapse, Prateek Prasanna
2026	J	`jnl`	Vessel-Aware Deep Learning for OCTA-Based Detection of AMD. CoRR Margalit G. Mitzner, Moinak Bhattacharya, Zhilin Zou, Chao Chen, Prateek Prasanna
2025	J	`jnl`	Anatomy-DT: A Cross-Diffusion Digital Twin for Anatomical Evolution. CoRR Moinak Bhattacharya, Gagandeep Singh, Prateek Prasanna
2025	J	`jnl`	BrainMRDiff: A Diffusion Model for Anatomically Consistent Brain MRI Synthesis. CoRR Moinak Bhattacharya, Saumya Gupta, Annie Singh, Chao Chen, Gagandeep Singh, Prateek Prasanna
2025	A*	`conf`	Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation. CVPR Aishik Konwer, Zhijian Yang, Erhan Bas, Cao Xiao, Prateek Prasanna, Parminder Bhatia, Taha A. Kass-Hout
2025	J	`jnl`	Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation. CoRR Aishik Konwer, Zhijian Yang, Erhan Bas, Cao Xiao, Prateek Prasanna, Parminder Bhatia, Taha A. Kass-Hout
2025	J	`jnl`	GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology. CoRR Saarthak Kapse, Pushpak Pati, Srikar Yellapragada, Srijan Das, Rajarsi R. Gupta, Joel H. Saltz, Dimitris Samaras, Prateek Prasanna
2025	J	`jnl`	GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs. CoRR Moinak Bhattacharya, Gagandeep Singh, Shubham Jain, Prateek Prasanna
2025	J	`jnl`	ImmunoDiff: A Diffusion Model for Immunotherapy Response Prediction in Lung Cancer. CoRR Moinak Bhattacharya, Judy Huang, Amna F. Sher, Gagandeep Singh, Chao Chen, Prateek Prasanna
2025	J	`jnl`	NeuroRAD-FM: A Foundation Model for Neuro-Oncology with Distributionally Robust Training. CoRR Moinak Bhattacharya, Angelica P. Kurtz, Fabio M. Iwamoto, Prateek Prasanna, Gagandeep Singh
2025	J	`jnl`	PEaRL: Pathway-Enhanced Representation Learning for Gene and Pathway Expression Prediction from Histology. CoRR Sejuti Majumder, Saarthak Kapse, Moinak Bhattacharya, Xuan Xu, Alisa Yurovsky, Prateek Prasanna
2025	—	`conf`	Pathology Image Compression with Pre-trained Autoencoders. MICCAI (2) Srikar Yellapragada, Alexandros Graikos, Kostas Triaridis, Zilinghan Li, Tarak Nath Nandi, Ravi K. Madduri, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras
2025	J	`jnl`	Pathology Image Compression with Pre-trained Autoencoders. CoRR Srikar Yellapragada, Alexandros Graikos, Kostas Triaridis, Zilinghan Li, Tarak Nath Nandi, Ravi K. Madduri, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras
2025	J	`jnl`	PixCell: A generative foundation model for digital histopathology images. CoRR Srikar Yellapragada, Alexandros Graikos, Zilinghan Li, Kostas Triaridis, Varun Belagali, Saarthak Kapse, Tarak Nath Nandi, Ravi K. Madduri, Prateek Prasanna, Tahsin M. Kurç, Rajarsi R. Gupta, Joel H. Saltz, Dimitris Samaras
2025	J	`jnl`	SoC-DT: Standard-of-Care Aligned Digital Twins for Patient-Specific Tumor Dynamics. CoRR Moinak Bhattacharya, Gagandeep Singh, Prateek Prasanna
2025	J	`jnl`	TICON: A Slide-Level Tile Contextualizer for Histopathology Representation Learning. CoRR Varun Belagali, Saarthak Kapse, Pierre Marza, Srijan Das, Zilinghan Li, Sofiène Boutaj, Pushpak Pati, Srikar Yellapragada, Tarak Nath Nandi, Ravi K. Madduri, Joel H. Saltz, Prateek Prasanna, Stergios Christodoulidis, Maria Vakalopoulou, Dimitris Samaras
2025	A*	`conf`	TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model. CVPR Meilong Xu, Saumya Gupta, Xiaoling Hu, Chen Li, Shahira Abousamra, Dimitris Samaras, Prateek Prasanna, Chao Chen
2025	J	`jnl`	TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs. Medical Image Anal. Fan Wang, Zhilin Zou, Nicole Sakla, Luke Partyka, Nil Rawal, Gagandeep Singh, Wei Zhao, Haibin Ling, Chuan Huang, Prateek Prasanna, Chao Chen
2025	A*	`conf`	ZoomLDM: Latent Diffusion Model for Multi-scale Image Generation. CVPR Srikar Yellapragada, Alexandros Graikos, Kostas Triaridis, Prateek Prasanna, Rajarsi Gupta, Joel H. Saltz, Dimitris Samaras
2024	—	`conf`	A Topological Comparison of the Fluorescence Imitating Brightfield Imaging and H&E Imaging. TGI3@MICCAI Meiliong Xu, Nate Anderson, Richard M. Levenson, Prateek Prasanna, Chao Chen
2024	J	`jnl`	Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning. Medical Image Anal. Saarthak Kapse, Srijan Das, Jingwei Zhang, Rajarsi R. Gupta, Joel H. Saltz, Dimitris Samaras, Prateek Prasanna
2024	—	`conf`	Coca-Mil: Attention-Based Handcrafted-Deep Feature Fusion in Computational Pathology. ISBI Paras Goel, Saarthak Kapse, Pushpak Pati, Prateek Prasanna
2024	—	`conf`	Critical View of Safety Assessment in Laparoscopic Cholecystectomy via Segment Anything Model. EMBC Yunfan Li, Haibin Ling, I. V. Ramakrishnan, Prateek Prasanna, Aaron Sasson, Himanshu Gupta
2024	J	`jnl`	Data distillation in computational pathology by choosing few representants of the original variance: A use case in ovarian cancer. Expert Syst. Appl. Jennifer Salguero, Prateek Prasanna, Germán Corredor, Angel Cruz-Roa, David Becerra, Eduardo Romero
2024	—	`conf`	GazeDiff: A radiologist visual attention guided diffusion model for zero-shot disease classification. MIDL Moinak Bhattacharya, Prateek Prasanna
2024	J	`jnl`	Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning. CoRR Varun Belagali, Srikar Yellapragada, Alexandros Graikos, Saarthak Kapse, Zilinghan Li, Tarak Nath Nandi, Ravi K. Madduri, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras
2024	—	`conf`	Hard Negative Sample Mining for Whole Slide Image Classification. MICCAI (4) Wentao Huang, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Chao Chen
2024	J	`jnl`	Hard Negative Sample Mining for Whole Slide Image Classification. CoRR Wentao Huang, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Chao Chen
2024	J	`jnl`	Histo-Diffusion: A Diffusion Super-Resolution Method for Digital Pathology with Comprehensive Quality Assessment. CoRR Xuan Xu, Saarthak Kapse, Prateek Prasanna
2024	—	`conf`	HoG-Net: Hierarchical Multi-organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images. MICCAI (5) Joseph Bae, Saarthak Kapse, Lei Zhou, Kartik Mani, Prateek Prasanna
2024	A*	`conf`	Learned Representation-Guided Diffusion Models for Large-Image Generation. CVPR Alexandros Graikos, Srikar Yellapragada, Minh-Quan Le, Saarthak Kapse, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras
2024	—	`conf`	MetaStain: Stain-Generalizable Meta-learning for Cell Segmentation and Classification with Limited Exemplars. MICCAI (4) Aishik Konwer, Prateek Prasanna
2024	—	`conf`	New Spatial Phenotypes from Imaging Uncover Survival Differences for Breast Cancer Patients. BCB Mahmudul Hasan, Ariadna Kim Silva, Shahira Abousamra, Shao-Jun Tang, Prateek Prasanna, Joel H. Saltz, Kevin Gardner, Chao Chen, Alisa Yurovsky
2024	A	`conf`	PathLDM: Text conditioned Latent Diffusion Model for Histopathology. WACV Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin M. Kurç, Joel H. Saltz, Dimitris Samaras
2024	J	`jnl`	RadGazeGen: Radiomics and Gaze-guided Medical Image Generation using Diffusion Models. CoRR Moinak Bhattacharya, Gagandeep Singh, Shubham Jain, Prateek Prasanna
2024	J	`jnl`	RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency. CoRR Wentao Huang, Meilong Xu, Xiaoling Hu, Shahira Abousamra, Aniruddha Ganguly, Saarthak Kapse, Alisa Yurovsky, Prateek Prasanna, Tahsin M. Kurç, Joel H. Saltz, Michael L. Miller, Chao Chen
2024	A*	`conf`	SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology. CVPR Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna
2024	J	`jnl`	Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images. CoRR Mahmudul Hasan, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Joel H. Saltz, Chao Chen
2024	—	`conf`	Semi-supervised Contrastive VAE for Disentanglement of Digital Pathology Images. MICCAI (4) Mahmudul Hasan, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Joel H. Saltz, Chao Chen
2024	J	`jnl`	TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model. CoRR Meilong Xu, Saumya Gupta, Xiaoling Hu, Chen Li, Shahira Abousamra, Dimitris Samaras, Prateek Prasanna, Chao Chen
2024	J	`jnl`	TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs. CoRR Fan Wang, Zhilin Zou, Nicole Sakla, Luke Partyka, Nil Rawal, Gagandeep Singh, Wei Zhao, Haibin Ling, Chuan Huang, Prateek Prasanna, Chao Chen
2024	J	`jnl`	ZoomLDM: Latent Diffusion Model for multi-scale image generation. CoRR Srikar Yellapragada, Alexandros Graikos, Kostas Triaridis, Prateek Prasanna, Rajarsi R. Gupta, Joel H. Saltz, Dimitris Samaras
2023	J	`jnl`	Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning. CoRR Saarthak Kapse, Srijan Das, Jingwei Zhang, Rajarsi R. Gupta, Joel H. Saltz, Dimitris Samaras, Prateek Prasanna
2023	—	`conf`	Audio-visual feature fusion for improved thoracic disease classification. Computer-Aided Diagnosis Moinak Bhattacharya, Prateek Prasanna
2023	—	`conf`	Automated Assessment of Critical View of Safety in Laparoscopic Cholecystectomy. ICHI Yunfan Li, Himanshu Gupta, Haibin Ling, I. V. Ramakrishnan, Prateek Prasanna, Georgios Georgakis, Aaron Sasson
2023	J	`jnl`	Automated Assessment of Critical View of Safety in Laparoscopic Cholecystectomy. CoRR Yunfan Li, Himanshu Gupta, Haibin Ling, I. V. Ramakrishnan, Prateek Prasanna, Georgios Georgakis, Aaron Sasson
2023	—	`conf`	CD-Net: Histopathology Representation Learning Using Context-Detail Transformer Network. ISBI Saarthak Kapse, Srijan Das, Prateek Prasanna
2023	J	`jnl`	Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation. CoRR Aishik Konwer, Xiaoling Hu, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna
2023	A*	`conf`	Enhancing Modality-Agnostic Representations via Meta-learning for Brain Tumor Segmentation. ICCV Aishik Konwer, Xiaoling Hu, Joseph Bae, Xuan Xu, Chao Chen, Prateek Prasanna
2023	J	`jnl`	Learned representation-guided diffusion models for large-image generation. CoRR Alexandros Graikos, Srikar Yellapragada, Minh-Quan Le, Saarthak Kapse, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras
2023	A*	`conf`	Learning to Segment from Noisy Annotations: A Spatial Correction Approach. ICLR Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen
2023	J	`jnl`	Learning to Segment from Noisy Annotations: A Spatial Correction Approach. CoRR Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen
2023	—	`conf`	MagNET: Modality-Agnostic Network for Brain Tumor Segmentation and Characterization with Missing Modalities. MLMI@MICCAI (1) Aishik Konwer, Chao Chen, Prateek Prasanna
2023	J	`jnl`	PathLDM: Text conditioned Latent Diffusion Model for Histopathology. CoRR Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin M. Kurç, Joel H. Saltz, Dimitris Samaras
2023	—	`conf`	Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology. IPMI Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras
2023	J	`jnl`	Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning. CoRR Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
2023	—	`conf`	Prompt-MIL: Boosting Multi-instance Learning Schemes via Task-Specific Prompt Tuning. MICCAI (8) Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras
2023	—	`conf`	Role of stain normalization in computational pathology: use case in metastatic tissue classification. Digital and Computational Pathology Paras Goel, Saarthak Kapse, Prateek Prasanna
2023	—	`conf`	SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology. ISIC/Care-AI/MedAGI/DeCaF@MICCAI Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel H. Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras
2023	J	`jnl`	SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology. CoRR Jingwei Zhang, Ke Ma, Saarthak Kapse, Joel H. Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras
2023	J	`jnl`	SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology. CoRR Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna
2023	—	`conf`	Self Pre-Training with Masked Autoencoders for Medical Image Classification and Segmentation. ISBI Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
2023	—	`conf`	Surgical Phase Recognition in Laparoscopic Cholecystectomy. CENTERIS/ProjMAN/HCist Yunfan Li, Himanshu Gupta, Prateek Prasanna, I. V. Ramakrishnan, Haibin Ling
2023	—	`conf`	Token Sparsification for Faster Medical Image Segmentation. IPMI Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
2023	J	`jnl`	Token Sparsification for Faster Medical Image Segmentation. CoRR Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
2023	A*	`conf`	Topology-Aware Uncertainty for Image Segmentation. NeurIPS Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen
2023	J	`jnl`	Topology-Aware Uncertainty for Image Segmentation. CoRR Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen
2023	—	`conf`	ViT-DAE: Transformer-Driven Diffusion Autoencoder for Histopathology Image Analysis. DGM4MICCAI Xuan Xu, Saarthak Kapse, Rajarsi Gupta, Prateek Prasanna
2023	J	`jnl`	ViT-DAE: Transformer-driven Diffusion Autoencoder for Histopathology Image Analysis. CoRR Xuan Xu, Saarthak Kapse, Rajarsi Gupta, Prateek Prasanna
2022	—	`conf`	Brain Cancer Survival Prediction on Treatment-Naïve MRI using Deep Anchor Attention Learning with Vision Transformer. ISBI Xuan Xu, Prateek Prasanna
2022	J	`jnl`	Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep Anchor Attention Learning with Vision Transformer. CoRR Xuan Xu, Prateek Prasanna
2022	J	`jnl`	CD-Net: Histopathology Representation Learning using Pyramidal Context-Detail Network. CoRR Saarthak Kapse, Srijan Das, Prateek Prasanna
2022	—	`conf`	Clinical outcome prediction in COVID-19 using self-supervised vision transformer representations. Computer-Aided Diagnosis Aishik Konwer, Prateek Prasanna
2022	—	`conf`	EventScore: An Automated Real-time Early Warning Score for Clinical Events. ICHI Ibrahim Hammoud, Prateek Prasanna, I. V. Ramakrishnan, Adam Singer, Mark Henry, Henry C. Thode
2022	—	`conf`	GazeRadar: A Gaze and Radiomics-Guided Disease Localization Framework. MICCAI (3) Moinak Bhattacharya, Shubham Jain, Prateek Prasanna
2022	—	`conf`	Learning Topological Interactions for Multi-Class Medical Image Segmentation. ECCV (29) 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
2022	J	`jnl`	Learning Topological Interactions for Multi-Class Medical Image Segmentation. CoRR 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
2022	J	`jnl`	Lung Swapping Autoencoder: Learning a Disentangled Structure-texture Representation of Chest Radiographs. CoRR Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Amit Gupta, Dimitris Samaras, Prateek Prasanna
2022	—	`conf`	Muti-stage attention-based network for brain tumor subtype classification. Digital and Computational Pathology Sudhir Suman, Prateek Prasanna
2022	J	`jnl`	Novel Radiomic Measurements of Tumor- Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers. CoRR 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
2022	J	`jnl`	Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology. CoRR Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras
2022	J	`jnl`	RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to Treatment. IEEE J. Biomed. Health Informatics Jacob T. Antunes, Marwa Ismail, Imran Hossain, Zhoumengdi Wang, Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, Satish E. Viswanath
2022	—	`conf`	RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-Guided Disease Classification. ECCV (21) Moinak Bhattacharya, Shubham Jain, Prateek Prasanna
2022	J	`jnl`	RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-guided Disease Classification. CoRR Moinak Bhattacharya, Shubham Jain, Prateek Prasanna
2022	J	`jnl`	Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma. IEEE Trans. Medical Imaging 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
2022	—	`conf`	Selecting training samples for ovarian cancer classification via a semi-supervised clustering approach. Digital and Computational Pathology Jennifer Salguero López, Prateek Prasanna, Germán Corredor, Angel Cruz-Roa, David Becerra, Eduardo Romero
2022	J	`jnl`	Self Pre-training with Masked Autoencoders for Medical Image Analysis. CoRR Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
2022	—	`conf`	Shape-based tumor microenvironment analysis to differentiate non-small cell lung cancer subtypes: a radio-pathomic study. Digital and Computational Pathology Saarthak Kapse, Rajarsi Gupta, Prateek Prasanna
2022	—	`conf`	Subtype-Specific Spatial Descriptors of Tumor-Immune Microenvironment are Prognostic of Survival in Lung Adenocarcinoma. ISBI Saarthak Kapse, Luke Torre-Healy, Richard A. Moffitt, Rajarsi Gupta, Prateek Prasanna
2022	J	`jnl`	Surgical Phase Recognition in Laparoscopic Cholecystectomy. CoRR Yunfan Li, Vinayak Shenoy, Prateek Prasanna, I. V. Ramakrishnan, Haibin Ling, Himanshu Gupta
2022	A*	`conf`	Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations. CVPR Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna
2022	J	`jnl`	Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations. CoRR Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna
2021	—	`conf`	Attention Based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms. MICCAI (7) Sudhir Suman, Gagandeep Singh, Nicole Sakla, Rishabh Gattu, Jeremy Green, Tej Phatak, Dimitris Samaras, Prateek Prasanna
2021	J	`jnl`	Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms. CoRR Sudhir Suman, Gagandeep Singh, Nicole Sakla, Rishabh Gattu, Jeremy Green, Tej Phatak, Dimitris Samaras, Prateek Prasanna
2021	—	`conf`	Attention-Based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction. MICCAI (5) Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Prateek Prasanna
2021	J	`jnl`	Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction. CoRR Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Prateek Prasanna
2021	—	`conf`	Chest Radiograph Disentanglement for COVID-19 Outcome Prediction. MICCAI (7) Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Dimitris Samaras, Prateek Prasanna
2021	J	`jnl`	EventScore: An Automated Real-time Early Warning Score for Clinical Events. CoRR Ibrahim Hammoud, Prateek Prasanna, I. V. Ramakrishnan, Adam Singer, Mark Henry, Henry C. Thode
2021	—	`conf`	Evolution of chest radiograph radiomics and association with respiratory and inflammatory parameters in COVID-19 patients undergoing prone ventilation: preliminary findings. Computer-Aided Diagnosis Connor Cowan, Joseph Bae, Gagandeep Singh, Rohit Khullar, Shrey Shah, Nikhil Madan, Prateek Prasanna
2021	J	`jnl`	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. Cheng Lu, Can Koyuncu, Germán Corredor, Prateek Prasanna, Patrick Leo, Xiangxue Wang, Andrew Janowczyk, Kaustav Bera, James S. Lewis Jr., Vamsidhar Velcheti, Anant Madabhushi
2021	J	`jnl`	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. Azam Moosavi, Natalia Figueiredo, Prateek Prasanna, Sunil K. Srivastava, Sumit Sharma, Anant Madabhushi, Justis P. Ehlers
2021	—	`conf`	Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network. MIDL Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Amit Gupta, Chao Chen, Joel H. Saltz, Prateek Prasanna
2021	—	`conf`	Predicting Mutation Status and Recurrence Free Survival in Non-Small Cell Lung Cancer: A Hierarchical ct Radiomics - Deep Learning Approach. ISBI Divek Patel, Connor Cowan, Prateek Prasanna
2021	—	`conf`	Radiologically Defined Tumor-habitat Adjacency as a Prognostic Biomarker in Glioblastoma. EMBC Xuan Xu, Dimitris Samaras, Prateek Prasanna
2021	J	`jnl`	Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma. CoRR 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
2021	—	`conf`	TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer. IPMI Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen
2021	J	`jnl`	TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer. CoRR Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen
2020	—	`conf`	A combination of intra- and peri-tumoral deep features from prostate bi-parametric MRI can distinguish clinically significant and insignificant prostate cancer. Computer-Aided Diagnosis Amogh Hiremath, Rakesh Shiradkar, Nathaniel Braman, Prateek Prasanna, Ardeshir R. Rastinehad, Andrei S. Purysko, Anant Madabhushi
2020	—	`conf`	Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer. ECCV Workshops (1) 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
2020	J	`jnl`	Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma? - A Feasibility Study. Frontiers Comput. Neurosci. Marwa Ismail, Virginia B. Hill, Volodymyr Statsevych, Evan Mason, Ramon Correa, Prateek Prasanna, Gagandeep Singh, Kaustav Bera, Rajat Thawani, Manmeet Ahluwalia, Anant Madabhushi, Pallavi Tiwari
2020	J	`jnl`	Can tumor location on pre-treatment MRI predict likelihood of pseudo-progression versus tumor recurrence in Glioblastoma? A feasibility study. CoRR Marwa Ismail, Virginia B. Hill, Volodymyr Statsevych, Evan Mason, Ramon Correa, Prateek Prasanna, Gagandeep Singh, Kaustav Bera, Rajat Thawani, Anant Madabhushi, Manmeet Ahluwalia, Pallavi Tiwari
2020	—	`conf`	Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores. Digital Pathology 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
2020	J	`jnl`	Predicting Mechanical Ventilation Requirement and Mortality in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study. CoRR Joseph Bae, Saarthak Kapse, Gagandeep Singh, Tej Phatak, Jeremy Green, Nikhil Madan, Prateek Prasanna
2020	—	`conf`	Spatial-And-Context Aware (SpACe) "Virtual Biopsy" Radiogenomic Maps to Target Tumor Mutational Status on Structural MRI. MICCAI (2) Marwa Ismail, Ramon Correa, Kaustav Bera, Ruchika Verma, Anas Saeed Bamashmos, Niha G. Beig, Jacob Antunes, Prateek Prasanna, Volodymyr Statsevych, Manmeet Ahluwalia, Pallavi Tiwari
2020	J	`jnl`	Spatial-And-Context aware (SpACe) "virtual biopsy" radiogenomic maps to target tumor mutational status on structural MRI. CoRR Marwa Ismail, Ramon Correa, Kaustav Bera, Ruchika Verma, Anas Saeed Bamashmos, Niha G. Beig, Jacob Antunes, Prateek Prasanna, Volodymyr Statsevych, Manmeet Ahluwalia, Pallavi Tiwari
2019	—	`conf`	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. Computer-Aided Diagnosis Mohammadhadi Khorrami, Mehdi Alilou, Prateek Prasanna, Pradnya Patil, Pirya Velu, Kaustav Bera, Pingfu Fu, Vamsidhar Velcheti, Anant Madabhushi
2019	—	`conf`	Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI. Computer-Aided Diagnosis 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
2019	—	`conf`	Morphology of vascular network in eyes with diabetic macular edema varies based on tolerance of aflibercept treatment interval length: preliminary findings. Biomedical Applications in Molecular, Structural, and Functional Imaging Prateek Prasanna, Justis Ehlers, Nathaniel Braman, Natalia Figueredo, Vishal Bobba, Sumit Sharma, Sunil Srivastava, Anant Madabhushi
2019	—	`conf`	Radiogenomic characterization of response to chemo-radiation therapy in glioblastoma is associated with PI3K/AKT/mTOR and apoptosis signaling pathways. Computer-Aided Diagnosis Niha G. Beig, Prateek Prasanna, Virginia B. Hill, Ruchika Verma, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari
2019	—	`conf`	Spatial arrangement of leakage patterns in diabetic macular edema is associated with tolerance of aflibercept treatment interval length: preliminary findings. Biomedical Applications in Molecular, Structural, and Functional Imaging Prateek Prasanna, Justis Ehlers, Vishal Bobba, Natalia Figueredo, Cheng Lu, Sumit Sharma, Sunil Srivastava, Anant Madabhushi
2018	—	`conf`	Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer. MICCAI (2) Cheng Lu, Xiangxue Wang, Prateek Prasanna, Germán Corredor, Geoffrey Sedor, Kaustav Bera, Vamsidhar Velcheti, Anant Madabhushi
2018	—	`conf`	Vascular Network Organization via Hough Transform (VaNgOGH): A Novel Radiomic Biomarker for Diagnosis and Treatment Response. MICCAI (2) Nathaniel Braman, Prateek Prasanna, Mehdi Alilou, Niha G. Beig, Anant Madabhushi
2017	—	`conf`	RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction. MICCAI (2) Jacob Antunes, Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, Satish Viswanath
2017	—	`conf`	Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma. Computer-Aided Diagnosis Niha G. Beig, Jay Patel, Prateek Prasanna, Sasan Partovi, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari
2017	—	`conf`	Radiographic-Deformation and Textural Heterogeneity (r-DepTH): An Integrated Descriptor for Brain Tumor Prognosis. MICCAI (2) Prateek Prasanna, Jhimli Mitra, Niha G. Beig, Sasan Partovi, Gagandeep Singh, Marco Pinho, Anant Madabhushi, Pallavi Tiwari
2016	J	`jnl`	Automated Crack Detection on Concrete Bridges. IEEE Trans Autom. Sci. Eng. Prateek Prasanna, Kristin J. Dana, Nenad Gucunski, Basily B. Basily, Hung Manh La, Ronny Salim Lim, Hooman Parvardeh
2014	—	`conf`	Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): Distinguishing Tumor Confounders and Molecular Subtypes on MRI. MICCAI (3) Prateek Prasanna, Pallavi Tiwari, Anant Madabhushi
2014	—	`conf`	Texture descriptors to distinguish radiation necrosis from recurrent brain tumors on multi-parametric MRI. Computer-Aided Diagnosis Pallavi Tiwari, Prateek Prasanna, Lisa Rogers, Leo Wolansky, Chaitra Badve, Andrew Sloan, Mark Cohen, Anant Madabhushi
2013	—	`conf`	Decision support system for detection of diabetic retinopathy using smartphones. PervasiveHealth Prateek Prasanna, Shubham Jain, Neelakshi Bhagat, Anant Madabhushi