Prateek Prasanna

Prateek Prasanna

Stony Brook University

H-index: 28

North America-United States

About Prateek Prasanna

Prateek Prasanna, With an exceptional h-index of 28 and a recent h-index of 26 (since 2020), a distinguished researcher at Stony Brook University, specializes in the field of Medical Vision, Biomedical image analysis, Radiomics, Radiogenomics, Pathomics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Data distillation in computational pathology by choosing few representants of the original variance: A use case in ovarian cancer

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

Performance of GPT-4 on the American College of Radiology In-training Examination: Evaluating Accuracy, Model Drift, and Fine-tuning

Advancing Precision Medicine: Algebraic Topology and Differential Geometry in Radiology and Computational Pathology

CA-fuse-MIL: cross-attention fusion of handcrafted and deep features for whole slide image classification

Geometric features of pulmonary arteries are associated with early progression and progression-free survival in small-cell lung cancer patients treated with chemotherapy and …

Do Spatial-Radiomics Improve Prediction of Locoregional Recurrence Following Radiotherapy for HNSCC?

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

Prateek Prasanna Information

University

Position

Assistant Professor

Citations(all)

6276

Citations(since 2020)

5896

Cited By

2157

hIndex(all)

28

hIndex(since 2020)

26

i10Index(all)

53

i10Index(since 2020)

52

Email

University Profile Page

Google Scholar

Prateek Prasanna Skills & Research Interests

Medical Vision

Biomedical image analysis

Radiomics

Radiogenomics

Pathomics

Top articles of Prateek Prasanna

Data distillation in computational pathology by choosing few representants of the original variance: A use case in ovarian cancer

2024/7/1

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

Advances in Radiation Oncology

2024/5

Performance of GPT-4 on the American College of Radiology In-training Examination: Evaluating Accuracy, Model Drift, and Fine-tuning

bioRxiv

2024

Prateek Prasanna
Prateek Prasanna

H-Index: 18

Virginia Hill
Virginia Hill

H-Index: 13

Advancing Precision Medicine: Algebraic Topology and Differential Geometry in Radiology and Computational Pathology

2024/4/16

CA-fuse-MIL: cross-attention fusion of handcrafted and deep features for whole slide image classification

2024/4/3

Saarthak Kapse
Saarthak Kapse

H-Index: 1

Prateek Prasanna
Prateek Prasanna

H-Index: 18

Geometric features of pulmonary arteries are associated with early progression and progression-free survival in small-cell lung cancer patients treated with chemotherapy and …

2024/4/3

Chao Chen
Chao Chen

H-Index: 3

Prateek Prasanna
Prateek Prasanna

H-Index: 18

Do Spatial-Radiomics Improve Prediction of Locoregional Recurrence Following Radiotherapy for HNSCC?

International Journal of Radiation Oncology, Biology, Physics

2024/4/1

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

Medical Image Analysis

2024/4/1

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

American Journal of Neuroradiology

2024/2/15

GazeDiff: A radiologist visual attention guided diffusion model for zero-shot disease classification

2024/2/13

Prateek Prasanna
Prateek Prasanna

H-Index: 18

Topology-aware uncertainty for image segmentation

Advances in Neural Information Processing Systems

2024/2/13

Pre-treatment Spatially-Aware MRI Radiomics Can Predict Distant Brain Metastases (DBMs) Following Stereotactic Radiosurgery/Radiation Therapy (SRS/SRT)

Advances in Radiation Oncology

2024/2/6

PathLDM: Text conditioned latent diffusion model for histopathology

2024

Token Sparsification for Faster Medical Image Segmentation

2023/6/8

Precise location matching improves dense contrastive learning in digital pathology

2023/6/8

Tu1991 COMPUTATIONAL MAPPING OF IMMUNOHISTOCHEMICAL MARKER POSITIVITY TO H&E-DETECTED HISTOLOGICAL ABNORMALITIES ACROSS MOUSE MODELS OF COLITIS

Gastroenterology

2023/5/1

CD-Net: Histopathology Representation Learning Using Context-Detail Transformer Network

2023/4/18

Audio-visual feature fusion for improved thoracic disease classification

2023/4/7

Prateek Prasanna
Prateek Prasanna

H-Index: 18

Role of stain normalization in computational pathology: use case in metastatic tissue classification

2023/4/6

Saarthak Kapse
Saarthak Kapse

H-Index: 1

Prateek Prasanna
Prateek Prasanna

H-Index: 18

Predicting recurrence and overall survival using radiomic features correlated with PD-L1 expression in early stage non-small cell lung cancer (ES-NSCLC)

2023/2/7

See List of Professors in Prateek Prasanna University(Stony Brook University)

Co-Authors

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