Yury Velichko

According to our database, Yury Velichko authored at least 12 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques.

Ziliang Hong, Debesh Jha, Koushik Biswas, Zheyuan Zhang, Yury Velichko, Cemal Yazici, Temel Tirkes, Amir Borhani, Baris Turkbey, Alpay Medetalibeyoglu, Gorkem Durak, Ulas Bagci

CoRR, 2024

A Probabilistic Hadamard U-Net for MRI Bias Field Correction.

Xin Zhu, Hongyi Pan, Yury Velichko, Adam B. Murphy, Ashley Ross, Baris Turkbey, Ahmet Enis Çetin, Ulas Bagci

CoRR, 2024

CT Liver Segmentation via PVT-based Encoding and Refined Decoding.

Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela Ladner, Amir Borhani, Ulas Bagci

CoRR, 2024

Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation.

Reza Azad, Leon Niggemeier, Michael Hüttemann, Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans.

Koushik Biswas, Debesh Jha, Nikhil Kumar Tomar, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela Ladner, Amir Borhani, Ulas Bagci

CoRR, 2023

FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation.

Amirhossein Kazerouni, Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof

CoRR, 2023

Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning.

Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof

CoRR, 2023

HCA-Net: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling.

Afshin Bozorgpour, Bobby Azad, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof

CoRR, 2023

A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network.

Ariana M. Familiar, Anahita Fathi Kazerooni, Hannah Anderson, Aliaksandr Lubneuski, Karthik Viswanathan, Rocky Breslow, Nastaran Khalili, Sina Bagheri, Debanjan Haldar, Meen Chul Kim, Sherjeel Arif, Rachel Madhogarhia, Thinh Q. Nguyen, Elizabeth A. Frenkel, Zeinab Helili, Jessica Harrison, Keyvan Farahani, Marius George Linguraru, Ulas Bagci, Yury Velichko, Jeffrey Stevens, Sarah E. S. Leary, Robert M. Lober, Stephani Campion, Amy A. Smith, Denise Morinigo, Brian Rood, Kimberly Diamond, Ian F. Pollack, Melissa Williams, Arastoo Vossough, Jeffrey B. Ware, Sabine Müller, Phillip B. Storm, Allison P. Heath, Angela J. Waanders, Jena V. Lilly, Jennifer L. Mason, Adam C. Resnick, Ali Nabavizadeh

CoRR, 2023

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.

Dominic LaBella, Maruf Adewole, Michelle Alonso-Basanta, Talissa Altes, Syed Muhammad Anwar, Ujjwal Baid, Timothy Bergquist, Radhika Bhalerao, Sully Chen, Verena Chung, Gian Marco Conte, Farouk Dako, James A. Eddy, Ivan Ezhov, Devon Godfrey, Fathi Hilal, Ariana Familiar, Keyvan Farahani, Juan Eugenio Iglesias, Zhifan Jiang, Elaine Johanson, Anahita Fathi Kazerooni, Collin Kent, John Kirkpatrick, Florian Kofler, Koen Van Leemput, Hongwei Bran Li, Xinyang Liu, Aria Mahtabfar, Shan McBurney-Lin, Ryan McLean, Zeke Meier, Ahmed W. Moawad, John Mongan, Pierre Nedelec, Maxence Pajot, Marie Piraud, Arif Rashid, Zachary Reitman, Russell Takeshi Shinohara, Yury Velichko, Chunhao Wang, Pranav I. Warman, Walter I. Wiggins, Mariam Aboian, Jake Albrecht, Udunna Anazodo, Spyridon Bakas, Adam E. Flanders, Anastasia Janas, Goldey Khanna, Marius George Linguraru, Bjoern H. Menze, Ayman Nada, Andreas M. Rauschecker, Jeffrey D. Rudie, Nourel Hoda Tahon, Javier E. Villanueva-Meyer, Benedikt Wiestler, Evan Calabrese

CoRR, 2023

Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection.

Reza Azad, Amirhossein Kazerouni, Babak Azad, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Self-supervised Semantic Segmentation: Consistency over Transformation.

Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Yury Velichko, Ulas Bagci, Dorit Merhof

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023