Prateek Prasanna

Also affiliated with Stony Brook Medicine, Stony Brook University

MedicineComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 38 papers. Top paper: “CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction”.

CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction

The Lancet Digital Health(2020)10.1016/s2589-7500(20)30002-9

N/A

0DataRank · unranked

133 citations

Kaustav Bera, Amit Gupta, Xiangxue Wang, Germán Corredor, Pingfu Fu +11 more

Optimizing the Peritumoral Region Size in Radiomics Analysis for Sentinel Lymph Node Status Prediction in Breast Cancer

Academic Radiology(2020)10.1016/j.acra.2020.10.015

N/A

0DataRank · unranked

89 citations

Shenglan Chen, Mario Serrano Sosa, Renee Cattell, Lan Lei, Junqi Sun +4 more

A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study

The Lancet Digital Health(2020)10.1016/s2589-7500(20)30225-9

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0DataRank · unranked

81 citations

Kaustav Bera, Xiangxue Wang, Prateek Prasanna, Jun Xu, Andrew Janowczyk +12 more

Identifying Cross-Scale Associations between Radiomic and Pathomic Signatures of Non-Small Cell Lung Cancer Subtypes: Preliminary Results

Cancers(2020)10.3390/cancers12123663

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0DataRank · unranked

65 citations

Alvaro Sandino, Prateek Prasanna, Amit Gupta, Satish E. Viswanath, Eduardo Romero +1 more

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

Medical Image Analysis(2020)10.1016/j.media.2020.101903

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0DataRank · unranked

63 citations

Can Koyuncu, Germán Corredor, Prateek Prasanna, Patrick Leo, Xiangxue Wang +6 more

Radiomics-based assessment of ultra-widefield leakage patterns and vessel network architecture in the PERMEATE study: insights into treatment durability

British Journal of Ophthalmology(2020)10.1136/bjophthalmol-2020-317182

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0DataRank · unranked

22 citations

Vishal Bobba, Natália Figueiredo, Duriye Damla Sevgi, Cheng Lu, Nathaniel Braman +6 more

Sexually dimorphic radiogenomic models identify distinct imaging and biological pathways that are prognostic of overall survival in glioblastoma

Neuro-Oncology(2020)10.1093/neuonc/noaa231

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0DataRank · unranked

41 citations

Salendra Singh, Kaustav Bera, Prateek Prasanna, Gagandeep Singh, Jonathan Chen +10 more

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 Transactions on Biomedical Engineering(2020)10.1109/tbme.2020.3018464

N/A

0DataRank · unranked

28 citations

Natália Figueiredo, Prateek Prasanna, Sunil K. Srivastava, Sumit Sharma, Anant Madabhushi +2 more

Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome

npj Precision Oncology(2022)10.1038/s41698-022-00277-5

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0DataRank · unranked

49 citations

Prateek Prasanna, Germán Corredor, Cristian Barrera, Philipp Zens, Cheng Lu +14 more

Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma

IEEE Transactions on Medical Imaging(2022)10.1109/tmi.2022.3148780

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0DataRank · unranked

24 citations

Prateek Prasanna, Kaustav Bera, Volodymyr Statsevych, Virginia Hill, Gagandeep Singh +8 more

Deep learning-based approach to the characterization and quantification of histopathology in mouse models of colitis

PLoS ONE(2022)10.1371/journal.pone.0268954

N/A

0DataRank · unranked

8 citations

Jason Shieh, Ainara Ruiz de Sabando, Julie Kim, Yang Liu, Sui Y. Zee +5 more

RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to Treatment

IEEE Journal of Biomedical and Health Informatics(2022)10.1109/jbhi.2022.3146778

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0DataRank · unranked

14 citations

Marwa Ismail, Imran Hossain, Zhoumengdi Wang, Prateek Prasanna, Anant Madabhushi +3 more

Density patterns of tumor-infiltrating lymphocytes and association with objective response to nivolumab in patients with lung adenocarcinoma from CheckMate 057.

Journal of Clinical Oncology(2022)10.1200/jco.2022.40.16_suppl.2662

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0DataRank · unranked

1 citations

Ruiwen Ding, Prateek Prasanna, Cristian Barrera, Paula Toro, Vidya Sankar Viswanathan +9 more

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

2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)(2022)10.1109/ichi54592.2022.00038

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0DataRank · unranked

0 citations

Prateek Prasanna, I. V. Ramakrishnan, Adam J. Singer, Mark C. Henry, Henry C. Thode +1 more

Topology-Aware Uncertainty for Image Segmentation

PubMed(2023)10.48550/arxiv.2306.05671

N/A

0DataRank · unranked

9 citations

Yikai Zhang, Hu, Xiaoling, Prateek Prasanna, Chao Chen, Saumya Gupta

Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning

Medical Image Analysis(2023)10.1016/j.media.2023.103070

N/A

0DataRank · unranked

11 citations

Srijan Das, Jingwei Zhang, Rajarsi Gupta, Joel Saltz, Dimitris Samaras +2 more

Enhancing Modality-Agnostic Representations via Meta-learning for Brain Tumor Segmentation

PubMed(2023)10.1109/iccv51070.2023.01958

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0DataRank · unranked

27 citations

Xiaoling Hu, Joseph Bae, Xuan Xu, Chao Chen, Prateek Prasanna +1 more

Learning to Segment from Noisy Annotations: A Spatial Correction Approach

arXiv (Cornell University)(2023)10.48550/arxiv.2308.02498

N/A

0DataRank · unranked

3 citations

Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen +1 more

Token Sparsification for Faster Medical Image Segmentation

Lecture notes in computer science(2023)10.1007/978-3-031-34048-2_57

N/A

0DataRank · unranked

1 citations

Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna +1 more

Automated Assessment of Critical View of Safety in Laparoscopic Cholecystectomy

arXiv (Cornell University)(2023)10.48550/arxiv.2309.07330

N/A

0DataRank · unranked

1 citations

Himanshu Gupta, Haibin Ling, I. V. Ramakrishnan, Prateek Prasanna, Georgios Georgakis +2 more

Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation

arXiv (Cornell University)(2023)10.48550/arxiv.2302.04308

N/A

0DataRank · unranked

0 citations

Xiaoling Hu, Joseph Bae, Xuan Xu, Chao Chen, Prateek Prasanna +1 more

Token Sparsification for Faster Medical Image Segmentation

arXiv (Cornell University)(2023)10.48550/arxiv.2303.06522

N/A

0DataRank · unranked

0 citations

Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna +1 more

Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning

arXiv (Cornell University)(2023)10.48550/arxiv.2303.12214

N/A

0DataRank · unranked

0 citations

Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel Saltz, Maria Vakalopoulou +2 more

Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning

arXiv (Cornell University)(2023)10.48550/arxiv.2309.06439

N/A

0DataRank · unranked

0 citations

Srijan Das, Jingwei Zhang, Rajarsi Gupta, Joel Saltz, Dimitris Samaras +2 more

Automated Detection of Cervical Spinal Stenosis and Cord Compression via Vision Transformer and Rules-Based Classification

American Journal of Neuroradiology(2024)10.3174/ajnr.a8141

N/A

0DataRank · unranked

13 citations

Xuan Xu, Farshid Faraji, Kevin John, Katherine Ferra Pradas, Vahni Vishala Bernard +3 more

Pretreatment Spatially Aware Magnetic Resonance Imaging Radiomics Can Predict Distant Brain Metastases (DBMs) After Stereotactic Radiosurgery/Radiation Therapy (SRS/SRT)

Advances in Radiation Oncology(2024)10.1016/j.adro.2024.101457

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0DataRank · unranked

4 citations

Kartik Mani, Ewa Zabrocka, Renee Cattell, B. O'Grady, David Payne +4 more

SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology

PubMed(2024)10.1109/cvpr52733.2024.01067

N/A

0DataRank · unranked

13 citations

Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou +5 more

Hard Negative Sample Mining for Whole Slide Image Classification

Lecture notes in computer science(2024)10.1007/978-3-031-72083-3_14

N/A

0DataRank · unranked

6 citations

Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Chao Chen, Wentao Huang

Semi-supervised Contrastive VAE for Disentanglement of Digital Pathology Images

Lecture notes in computer science(2024)10.1007/978-3-031-72083-3_43

N/A

0DataRank · unranked

2 citations

Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Joel Saltz, Chao Chen +1 more

New Spatial Phenotypes from Imaging Uncover Survival Differences for Breast Cancer Patients

PubMed(2024)10.1145/3698587.3701333

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0DataRank · unranked

1 citations

Ariadna Kim Silva, Shahira Abousamra, Shao‐Jun Tang, Prateek Prasanna, Joel Saltz +4 more

A Topological Comparison of the Fluorescence Imitating Brightfield Imaging and H&E Imaging

Lecture notes in computer science(2024)10.1007/978-3-031-73967-5_12

N/A

0DataRank · unranked

0 citations

Nate Anderson, Richard M. Levenson, Prateek Prasanna, Chao Chen, Meiliong Xu

Hard Negative Sample Mining for Whole Slide Image Classification

arXiv (Cornell University)(2024)10.48550/arxiv.2410.02212

N/A

0DataRank · unranked

0 citations

Hu, Xiaoling, Shahira Abousamra, Prateek Prasanna, Chao Chen, Wentao Huang

Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma In Situ Upstaging

Cancer Research(2025)10.1158/0008-5472.can-24-2070

N/A

0DataRank · unranked

4 citations

Manal Elmasry, Ji Dong K. Bai, Andrew Chen, Yuzhu Chen, Brooke Jackson +5 more

SuperDiff: A diffusion super-resolution method for digital pathology with comprehensive quality assessment

Medical Image Analysis(2025)10.1016/j.media.2025.103808

N/A

0DataRank · unranked

4 citations

Saarthak Kapse, Prateek Prasanna, Xuan Xu

Spatial Radiomic Graphs for Outcome Prediction in Radiation Therapy–treated Head and Neck Squamous Cell Carcinoma Using Pretreatment CT

Radiology Imaging Cancer(2025)10.1148/rycan.240161

N/A

0DataRank · unranked

1 citations

Kartik Mani, Lukasz Czerwonka, Christopher Vanison, Samuel Ryu, Prateek Prasanna +1 more

Magnetic Resonance Imaging Radiomic Analysis of Radiation-Induced Morphea of the Breast: A Proof-of-Concept Study

Advances in Radiation Oncology(2025)10.1016/j.adro.2025.101881

N/A

0DataRank · unranked

0 citations

Joseph Bae, Chao Chen, Samuel Ryu, Daniel Lozeau, A. Stessin +2 more

ImmunoDiff: A Diffusion Model for Immunotherapy Response Prediction in Lung Cancer

arXiv (Cornell University)(2025)10.48550/arxiv.2505.23675

N/A

0DataRank · unranked

0 citations

Judy Huang, Amna Falak Sher, Gagandeep Singh, Chao Chen, Prateek Prasanna +1 more

GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology

arXiv (Cornell University)(2025)10.1109/iccv51701.2025.01862

N/A

0DataRank · unranked

0 citations

Pushpak Pati, Srikar Yellapragada, Srijan Das, Rajarsi Gupta, Joel Saltz +3 more