Prateek Prasanna

6.2k total citations · 4 hit papers
111 papers, 3.8k citations indexed

About

Prateek Prasanna is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Prateek Prasanna has authored 111 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Radiology, Nuclear Medicine and Imaging, 30 papers in Pulmonary and Respiratory Medicine and 28 papers in Artificial Intelligence. Recurrent topics in Prateek Prasanna's work include Radiomics and Machine Learning in Medical Imaging (67 papers), AI in cancer detection (23 papers) and Glioma Diagnosis and Treatment (20 papers). Prateek Prasanna is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (67 papers), AI in cancer detection (23 papers) and Glioma Diagnosis and Treatment (20 papers). Prateek Prasanna collaborates with scholars based in United States, India and China. Prateek Prasanna's co-authors include Anant Madabhushi, Pallavi Tiwari, Niha Beig, Vamsidhar Velcheti, Nathaniel Braman, Rajat Thawani, Kaustav Bera, Donna Plecha, Maryam Etesami and Hannah Gilmore and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Prateek Prasanna

97 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI

2017 479 citations Nathaniel Braman, Maryam Etesami et al. Breast Cancer Research profile →
Automated Crack Detection on Concrete Bridges

2014 363 citations Prateek Prasanna, Kristin Dana et al. profile →
Radiomics and radiogenomics in lung cancer: A review for the clinician

2017 349 citations Rajat Thawani, Michael J. McLane et al. Lung Cancer profile →
Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy forHER2 (ERBB2)–Positive Breast Cancer

2019 235 citations Nathaniel Braman, Prateek Prasanna et al. JAMA Network Open profile →

Peers

Countries citing papers authored by Prateek Prasanna

Since Specialization

Citations

This map shows the geographic impact of Prateek Prasanna's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Prateek Prasanna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prateek Prasanna more than expected).

Fields of papers citing papers by Prateek Prasanna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prateek Prasanna. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Prateek Prasanna. The network helps show where Prateek Prasanna may publish in the future.

Co-authorship network of co-authors of Prateek Prasanna

This figure shows the co-authorship network connecting the top 25 collaborators of Prateek Prasanna. A scholar is included among the top collaborators of Prateek Prasanna based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Prateek Prasanna. Prateek Prasanna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma In Situ Upstaging 2025 ·Cancer Research ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Joseph Johnson, Prateek Prasanna, Chao Chen, Mehdi Damaghi	1
2	Data distillation in computational pathology by choosing few representants of the original variance: A use case in ovarian cancer 2024 ·Expert Systems with Applications ·(unknown), Prateek Prasanna, Germán Corredor, Ángel Cruz-Roa, (unknown), Eduardo Romero	2
3	CA-fuse-MIL: cross-attention fusion of handcrafted and deep features for whole slide image classification 2024 ·(unknown), (unknown), Pushpak Pati, Prateek Prasanna	1
4	Semi-supervised Contrastive VAE for Disentanglement of Digital Pathology Images 2024 ·Lecture notes in computer science ·Mahmudul Hasan, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Joel Saltz, Chao Chen	1
5	TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs 2024 ·Medical Image Analysis ·(unknown), (unknown), (unknown), (unknown), N. Rawal, Gagandeep Singh, Wei Zhao, Haibin Ling, Chuan Huang, Prateek Prasanna, Chao Chen	4
6	Performance of GPT-4 on the American College of Radiology In-training Examination: Evaluating Accuracy, Model Drift, and Fine-tuning 2024 ·Academic Radiology ·David Payne, (unknown), (unknown), Katherine Chung, (unknown), (unknown), (unknown), Prateek Prasanna, Virginia Hill	19
7	Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning 2023 ·Medical Image Analysis ·(unknown), Srijan Das, (unknown), Rajarsi Gupta, Joel Saltz, Dimitris Samaras, Prateek Prasanna	7
8	Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers 2022 ·Clinical Cancer Research ·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 A. Pennell, Vamsidhar Velcheti, Jame Abraham, Donna Plecha, Anant Madabhushi	19
9	Subtype-Specific Spatial Descriptors of Tumor-Immune Microenvironment are Prognostic of Survival in Lung Adenocarcinoma 2022 ·2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) ·(unknown), Luke A. Torre-Healy, Richard A. Moffitt, Rajarsi Gupta, Prateek Prasanna	1
10	Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network 2021 ·(unknown), Joseph Bae, Gagandeep Singh, (unknown), (unknown), Jeremy Green, (unknown), Amit Gupta, Chao Chen, Joel Saltz, Prateek Prasanna	2
11	Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma 2020 ·Clinical Cancer Research ·Niha Beig, Kaustav Bera, Prateek Prasanna, (unknown), Ramón Correa, Salendra Singh, (unknown), Marwa Ismail, Nathaniel Braman, Ruchika Verma, Virginia Hill, Volodymyr Statsevych, Manmeet S. Ahluwalia, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari	92
12	Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer 2019 ·Cancer Immunology Research ·Mohammadhadi Khorrami, Prateek Prasanna, Amit Gupta, Pradnya D. Patil, Priya Velu, Rajat Thawani, Germán Corredor, Mehdi Alilou, Kaustav Bera, Pingfu Fu, Michael D. Feldman, Vamsidhar Velcheti, Anant Madabhushi	200
13	Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy forHER2 (ERBB2)–Positive Breast Cancer breakdown → 2019 ·JAMA Network Open ·Nathaniel Braman, Prateek Prasanna, Jon Whitney, Salendra Singh, Niha Beig, Maryam Etesami, ‬David D. B. Bates, Katherine Gallagher, B Bloch, Manasa Vulchi, Paulette Turk, Kaustav Bera, Jame Abraham, William M. Sikov, George Somlo, Lyndsay N. Harris, Hannah Gilmore, Donna Plecha, Vinay Varadan, Anant Madabhushi	235
14	Predicting Tolerance to Extended Interval Dosing in Diabetic Macular Edema and Retinal Vein Occlusion via Subvisual Feature Assessment of Ultra-widefield Angiography: Preliminary Findings in the PERMEATE study 2019 ·Investigative Ophthalmology & Visual Science ·(unknown), Natália Figueiredo, Prateek Prasanna, Sunil K. Srivastava, Ming Hu, Sumit Sharma, Jamie Reese, Justis P. Ehlers, Anant Madabhushi	1
15	Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas 2018 ·Radiology ·Niha Beig, Mohammadhadi Khorrami, Mehdi Alilou, Prateek Prasanna, Nathaniel Braman, Mahdi Orooji, Sagar Rakshit, Kaustav Bera, Prabhakar Rajiah, J Ginsberg, Christopher Donatelli, Rajat Thawani, Michael Yang, Frank J. Jacono, Pallavi Tiwari, Vamsidhar Velcheti, Robert Gilkeson, Philip A. Linden, Anant Madabhushi	238
16	Shape Features of the Lesion Habitat to Differentiate Brain Tumor Progression from Pseudoprogression on Routine Multiparametric MRI: A Multisite Study 2018 ·American Journal of Neuroradiology ·Marwa Ismail, Virginia Hill, Volodymyr Statsevych, Raymond Y. Huang, Prateek Prasanna, Ramón Correa, Gagandeep Singh, Kaustav Bera, Niha Beig, Rajat Thawani, Anant Madabhushi, (unknown), Pallavi Tiwari	74
17	Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI breakdown → 2017 ·Breast Cancer Research ·Nathaniel Braman, Maryam Etesami, Prateek Prasanna, Christina Dubchuk, Hannah Gilmore, Pallavi Tiwari, Donna Plecha, Anant Madabhushi	479
18	Radiomics and radiogenomics in lung cancer: A review for the clinician breakdown → 2017 ·Lung Cancer ·Rajat Thawani, Michael J. McLane, Niha Beig, Soumya Ghose, Prateek Prasanna, Vamsidhar Velcheti, Anant Madabhushi	349
19	Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study 2016 ·American Journal of Neuroradiology ·Pallavi Tiwari, Prateek Prasanna, Leo Wolansky, Marco C. Pinho, Mark L. Cohen, (unknown), Amit Gupta, Gagandeep Singh, Kimmo J. Hatanpaa, Andrew E. Sloan, Lisa R. Rogers, Anant Madabhushi	84
20	Computer-vision based crack detection and analysis 2012 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Prateek Prasanna, Kristin Dana, Nenad Gucunski, (unknown)	66

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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