Yury Velichko

2.5k total citations · 2 hit papers
75 papers, 1.8k citations indexed

About

Yury Velichko is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Biomedical Engineering. According to data from OpenAlex, Yury Velichko has authored 75 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Oncology and 13 papers in Biomedical Engineering. Recurrent topics in Yury Velichko's work include Radiomics and Machine Learning in Medical Imaging (24 papers), Pancreatic and Hepatic Oncology Research (11 papers) and Supramolecular Self-Assembly in Materials (11 papers). Yury Velichko is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (24 papers), Pancreatic and Hepatic Oncology Research (11 papers) and Supramolecular Self-Assembly in Materials (11 papers). Yury Velichko collaborates with scholars based in United States, China and Germany. Yury Velichko's co-authors include Samuel I. Stupp, Helena S. Azevedo, Ramille M. Capito, Álvaro Mata, Mónica Olvera de la Cruz, Ronit Bitton, Christina J. Newcomb, Vahid Yaghmai, E. Thomas Pashuck and Steven J. Weigand and has published in prestigious journals such as Science, Journal of Clinical Investigation and The Journal of Chemical Physics.

In The Last Decade

Yury Velichko

65 papers receiving 1.8k 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.

Self-Assembly of Large and Small Molecules into Hierarchically Ordered Sacs and Membranes

2008 521 citations Yury Velichko, Samuel I. Stupp et al. profile →
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation

2024 105 citations Reza Azad, Yury Velichko et al. profile →

Peers

Countries citing papers authored by Yury Velichko

Since Specialization

Citations

This map shows the geographic impact of Yury Velichko'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 Yury Velichko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yury Velichko more than expected).

Fields of papers citing papers by Yury Velichko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yury Velichko. 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 Yury Velichko. The network helps show where Yury Velichko may publish in the future.

Co-authorship network of co-authors of Yury Velichko

This figure shows the co-authorship network connecting the top 25 collaborators of Yury Velichko. A scholar is included among the top collaborators of Yury Velichko 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 Yury Velichko. Yury Velichko 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	Delta Radiomics and Tumor Size: A New Predictive Radiomics Model for Chemotherapy Response in Liver Metastases from Breast and Colorectal Cancer 2025 ·Tomography ·Nicolò Gennaro, (unknown), Amir A. Borhani, Linda C. Kelahan, Hatice Savas, Ryan Avery, (unknown), (unknown), Chase Krumpelman, Vahid Yaghmai, Young Kwang Chae, Jochen H. Lorch, Devalingam Mahalingam, Mary F. Mulcahy, Al B. Benson, Ulaş Bağcı, Yury Velichko	0
2	Paradoxical Response to Neoadjuvant Therapy in Undifferentiated Pleomorphic Sarcoma: Increased Tumor Size on MRI Associated with Favorable Pathology 2025 ·Cancers ·(unknown), Nicolò Gennaro, (unknown), (unknown), Amir A. Borhani, Hatice Savas, Linda C. Kelahan, Ryan Avery, (unknown), (unknown), Ulaş Bağcı, (unknown), Spyridon Bakas, Sean Sachdev, Ronen Sumagin, Borislav A. Alexiev, (unknown), Seth M. Pollack, Yury Velichko	0
3	CT Liver Segmentation Via PVT-Based Encoding and Refined Decoding 2024 ·Debesh Jha, Nikhil Kumar Tomar, (unknown), (unknown), (unknown), Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir A. Borhani, Ulaş Bağcı	12
4	HCA-NET: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling 2024 ·Fraunhofer-Publica (Fraunhofer-Gesellschaft) ·Afshin Bozorgpour, (unknown), Reza Azad, Yury Velichko, Ulaş Bağcı, Dorit Merhof	1
5	Advances for Managing Pancreatic Cystic Lesions: Integrating Imaging and AI Innovations 2024 ·Cancers ·(unknown), (unknown), Elif Keleş, (unknown), (unknown), Zheyuan Zhang, (unknown), (unknown), (unknown), Yury Velichko, Cemal Yazıcı, Temel Tirkes, Frank H. Miller, Rajesh N. Keswani, Concetto Spampinato, Michael B. Wallace, Ulaş Bağcı	4
6	Heterogeneity in response to neoadjuvant radiotherapy between soft tissue sarcoma histotypes: associations between radiology and pathology findings 2024 ·European Radiology ·Nicolò Gennaro, (unknown), Sophie J. M. Reijers, Hester van Boven, Pétur Snæbjörnsson, Elise M. Bekers, Zuhir Bodalal, Stefano Trebeschi, Yvonne Schrage, Winette T.A. van der Graaf, Winan J. van Houdt, (unknown), Yury Velichko, Regina G. H. Beets‐Tan, Annemarie Bruining	4
7	Tissue-specific reprogramming leads to angiogenic neutrophil specialization and tumor vascularization in colorectal cancer 2024 ·Journal of Clinical Investigation ·Triet M. Bui, (unknown), (unknown), (unknown), Xingsheng Ren, (unknown), (unknown), Brian Wray, Matthew J. Schipma, Yury Velichko, David P. Sullivan, (unknown), Shannon Lauberth, (unknown), Parambir S. Dulai, Stephen B. Hanauer, Ronen Sumagin	28
8	AI-based radiomics model for predicting immune checkpoint inhibitor–related pneumonitis (CIP) in patients with advanced NSCLC: An external validation study. 2024 ·Journal of Clinical Oncology ·Seyoung Lee, (unknown), (unknown), Jeeyeon Lee, (unknown), Kai Zhang, (unknown), (unknown), (unknown), Hye Sung Kim, (unknown), (unknown), (unknown), (unknown), (unknown), Yury Velichko, Vamsidhar Velcheti, Anant Madabhushi, Nathaniel Braman, Young Kwang Chae	1
9	CheckpointPx: A predictive radiology AI model of immune checkpoint inhibitor (ICI) benefit in non-small cell lung cancer (NSCLC). 2024 ·Journal of Clinical Oncology ·Seyoung Lee, (unknown), Jeeyeon Lee, (unknown), Kai Zhang, (unknown), (unknown), (unknown), Hye Sung Kim, (unknown), (unknown), (unknown), (unknown), (unknown), Yury Velichko, Amit Gupta, Vamsidhar Velcheti, Anant Madabhushi, Nathaniel Braman, Young Kwang Chae	0
10	Safety and feasibility of establishing an adjuvant hepatic artery infusion program 2023 ·HPB ·(unknown), (unknown), Amir A. Borhani, Robert J. Lewandowski, Yury Velichko, Mary F. Mulcahy, Devalingam Mahalingam, Jennifer Law, (unknown), Rajesh N. Keswani, Vitaliy Poylin, David J. Bentrem, Ryan P. Merkow	5
11	Artificial Intelligence-based Radiomics in the Era of Immuno-oncology 2022 ·The Oncologist ·(unknown), (unknown), (unknown), Eugene Kim, Jonghanne Park, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), In-Ae Park, (unknown), Mohamed E. Abazeed, Yury Velichko, Young Kwang Chae	25
12	Detecting Racial/Ethnic Health Disparities Using Deep Learning From Frontal Chest Radiography 2022 ·Journal of the American College of Radiology ·Ayis Pyrros, Jorge Mario Rodríguez-Fernández, (unknown), Judy Wawira Gichoya, Jeanne M. Horowitz, (unknown), (unknown), Yury Velichko, Oluwasanmi Koyejo, William Galanter	8
13	Radiomics of hepatocellular carcinoma: promising roles in patient selection, prediction, and assessment of treatment response 2021 ·Abdominal Radiology ·Amir A. Borhani, Roberta Catania, Yury Velichko, Stefanie J. Hectors, Bachir Taouli, Sara Lewis	18
14	Prophylactic dendritic cell vaccination controls pancreatic cancer growth in a mouse model 2020 ·Cytotherapy ·Anna Junjie Shangguan, Na Shang, Matteo Figini, Liang Pan, Jia Yang, Quanhong Ma, Su Hu, Aydın Eresen, Chong Sun, (unknown), Yury Velichko, Vahid Yaghmai, Zhuoli Zhang	13
15	Association Between the Size and 3D CT-Based Radiomic Features of Breast Cancer Hepatic Metastasis 2020 ·Academic Radiology ·Yury Velichko, (unknown), (unknown), Zhuoli Zhang, Alfred Rademaker, Vahid Yaghmai	6
16	MRI radiomics for early prediction of response to vaccine therapy in a transgenic mouse model of pancreatic ductal adenocarcinoma 2020 ·Journal of Translational Medicine ·Aydın Eresen, Jia Yang, Junjie Shangguan, Yu Li, Su Hu, (unknown), Yury Velichko, Vahid Yaghmai, Al B. Benson, Zhuoli Zhang	21
17	MRI Assessment of Associations between Brown Adipose Tissue and Cachexia in Murine Pancreatic Ductal Adenocarcinoma 2019 ·PubMed ·Yaqi Zhang, (unknown), Junjie Shangguan, Liang Pan, Xin Zhou, Vahid Yaghmai, Yury Velichko, Chunhong Hu, Jia Yang, Zhuoli Zhang	9
18	Electric Field Controlled Self‐Assembly of Hierarchically Ordered Membranes 2011 ·Advanced Functional Materials ·Yury Velichko, Jason R. Mantei, Ronit Bitton, (unknown), Kenneth R. Shull, Samuel I. Stupp	49
19	Charge Induced Pattern Formation on Surfaces 2005 ·Bulletin of the American Physical Society ·Sharon M. Loverde, Yury Velichko, Mónica Olvera de la Cruz	0
20	Self‐assembled pearling structure of long duplex DNA with histone H1 2001 ·European Journal of Biochemistry ·Yuko Yoshikawa, Yury Velichko, (unknown), Kenichi Yoshikawa	31

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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