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Yury Velichko
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2020 – today
- 2024
- [c10]Afshin Bozorgpour, Bobby Azad, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
HCA-NET: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling. ISBI 2024: 1-5 - [c9]Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
CT Liver Segmentation Via PVT-Based Encoding and Refined Decoding. ISBI 2024: 1-5 - [c8]Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
Leveraging Unlabeled Data for 3D Medical Image Segmentation Through Self-Supervised Contrastive Learning. ISBI 2024: 1-5 - [c7]Amirhossein Kazerouni, Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
Fusenet: Self-Supervised Dual-Path Network For Medical Image Segmentation. ISBI 2024: 1-5 - [c6]Koushik Biswas
, Debesh Jha
Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis. MICCAI (9) 2024: 65-74 - [c5]Koushik Biswas, Ridam Pal, Shaswat Patel, Debesh Jha, Meghana Karri, Amit Reza, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation. MLMI@MICCAI (1) 2024: 1-11 - [c4]Xin Zhu, Hongyi Pan, Batuhan Gundogdu, Debesh Jha, Yury Velichko, Adam B. Murphy, Ashley Ross, Baris Turkbey, Ahmet Enis Çetin, Ulas Bagci:
A Probabilistic Hadamard U-Net for MRI Bias Field Correction. MLMI@MICCAI (1) 2024: 208-217 - [c3]Reza Azad, Leon Niggemeier, Michael Hüttemann, Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof:
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation. WACV 2024: 1276-1286 - [i19]Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
CT Liver Segmentation via PVT-based Encoding and Refined Decoding. CoRR abs/2401.09630 (2024) - [i18]Xin Zhu, Hongyi Pan, Yury Velichko, Adam B. Murphy, Ashley Ross, Baris Turkbey, Ahmet Enis Çetin, Ulas Bagci:
A Probabilistic Hadamard U-Net for MRI Bias Field Correction. CoRR abs/2403.05024 (2024) - [i17]Ziliang Hong, Debesh Jha, Koushik Biswas, Zheyuan Zhang, Yury Velichko, Cemal Yazici, Temel Tirkes, Amir Borhani, Baris Turkbey, Alpay Medetalibeyoglu, Gorkem Durak, Ulas Bagci:
Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques. CoRR abs/2404.17064 (2024) - [i16]Abhijit Das, Debesh Jha, Vandan Gorade
PAM-UNet: Shifting Attention on Region of Interest in Medical Images. CoRR abs/2405.01503 (2024) - [i15]Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Matthew Antalek, Zheyuan Zhang, Bin Wang, Md Mostafijur Rahman, Hongyi Pan, Alpay Medetalibeyoglu, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation. CoRR abs/2405.06166 (2024) - [i14]Dominic LaBella, Ujjwal Baid, Omaditya Khanna, Shan McBurney-Lin, Ryan McLean, Pierre Nedelec, Arif Rashid, Nourel Hoda Tahon, Talissa Altes, Radhika Bhalerao, Yaseen Dhemesh, Devon Godfrey, Fathi Hilal, Scott Floyd, Anastasia Janas, Anahita Fathi Kazerooni, John Kirkpatrick, Collin Kent, Florian Kofler, Kevin Leu, Nazanin Maleki, Bjoern H. Menze, Maxence Pajot, Zachary J. Reitman, Jeffrey D. Rudie, Rachit Saluja, Yury Velichko, Chunhao Wang, Pranav Warman, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Syed Muhammad Anwar, Timothy Bergquist, Sully Chen, Verena Chung, Gian Marco Conte, Farouk Dako, James A. Eddy, Ivan Ezhov, Nastaran Khalili, Juan Eugenio Iglesias, Zhifan Jiang, Elaine Johanson, Koen Van Leemput
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. CoRR abs/2405.09787 (2024) - [i13]Zheyuan Zhang, Elif Keles, Gorkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning. CoRR abs/2405.12367 (2024) - [i12]Maria Correia de Verdier, Rachit Saluja, Louis Gagnon, Dominic LaBella, Ujjwal Baid, Nourel Hoda Tahon, Martha Foltyn-Dumitru, Jikai Zhang, Maram Alafif, Saif Baig, Ken Chang, Gennaro D'Anna, Lisa Deptula, Diviya Gupta, Muhammad Ammar Haider, Ali Hussain, Michael Iv, Marinos Kontzialis, Paul Manning, Farzan Moodi, Teresa Nunes, Aaron Simon, Nico Sollmann, David Vu, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Rongrong Chai, Verena Chung, Shahriar Faghani, Keyvan Farahani, Anahita Fathi Kazerooni, Juan Eugenio Iglesias, Florian Kofler, Hongwei Li, Marius George Linguraru, Bjoern H. Menze, Ahmed W. Moawad, Yury Velichko, Benedikt Wiestler, Talissa Altes, Patil Basavasagar, Martin Bendszus, Gianluca Brugnara, Jaeyoung Cho, Yaseen Dhemesh, Brandon K. K. Fields, Filip Garrett, Jaime Gass, Lubomir M. Hadjiiski, Jona A. Hattangadi-Gluth, Christopher Hess, Jessica L. Houk, Edvin Isufi, Lester J. Layfield, George Mastorakos, John Mongan, Pierre Nedelec, Uyen Nguyen, Sebastian Oliva, Matthew W. Pease, Aditya Rastogi, Jason Sinclair, Robert X. Smith, Leo P. Sugrue, Jonathan Thacker, Igor Vidic, Javier E. Villanueva-Meyer, Nathan S. White, Mariam Aboian, Gian Marco Conte, Anders M. Dale, Mert R. Sabuncu, Tyler M. Seibert, Brent Weinberg, Aly H. Abayazeed, Raymond Y. Huang, Sevcan Turk, Andreas M. Rauschecker, Nikdokht Farid, Philipp Vollmuth, Ayman Nada, Spyridon Bakas, Evan Calabrese, Jeffrey D. Rudie:
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI. CoRR abs/2405.18368 (2024) - [i11]Dominic LaBella, Katherine Schumacher, Michael Mix, Kevin Leu, Shan McBurney-Lin, Pierre Nedelec, Javier E. Villanueva-Meyer, Jonathan Shapey, Tom Vercauteren, Kazumi Chia, Omar Al-Salihi, Justin Leu, Lia Halasz, Yury Velichko, Chunhao Wang, John Kirkpatrick, Scott Floyd, Zachary J. Reitman, Trey Mullikin, Ulas Bagci, Sean Sachdev, Jona A. Hattangadi-Gluth, Tyler M. Seibert, Nikdokht Farid, Connor Puett, Matthew W. Pease, Kevin Shiue, Syed Muhammad Anwar, Shahriar Faghani, Muhammad Ammar Haider, Pranav I. Warman, Jake Albrecht, András Jakab, Mana Moassefi, Verena Chung, Alejandro Aristizabal, Alexandros Karargyris, Hasan Kassem, Sarthak Pati, Micah J. Sheller, Christina Huang, Aaron Coley, Siddharth Ghanta, Alex Schneider, Conrad Sharp, Rachit Saluja, Florian Kofler, Philipp Lohmann, Philipp Vollmuth, Louis Gagnon, Maruf Adewole, Hongwei Bran Li, Anahita Fathi Kazerooni, Nourel Hoda Tahon, Udunna Anazodo, Ahmed W. Moawad, Bjoern H. Menze, Marius George Linguraru, Mariam Aboian, Benedikt Wiestler, Ujjwal Baid, Gian Marco Conte, Andreas M. Rauschecker, Ayman Nada, Aly H. Abayazeed, Raymond Y. Huang, Maria Correia de Verdier, Jeffrey D. Rudie, Spyridon Bakas, Evan Calabrese:
Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation. CoRR abs/2405.18383 (2024) - [i10]Koushik Biswas, Ridal Pal, Shaswat Patel, Debesh Jha, Meghana Karri, Amit Reza, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation. CoRR abs/2408.05692 (2024) - 2023
- [c2]Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni
Self-supervised Semantic Segmentation: Consistency over Transformation. ICCV (Workshops) 2023: 2646-2655 - [c1]Reza Azad, Amirhossein Kazerouni
Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection. MICCAI (3) 2023: 736-746 - [i9]Dominic LaBella, Maruf Adewole, Michelle Alonso-Basanta, Talissa Altes, Syed Muhammad Anwar, Ujjwal Baid, Timothy Bergquist, Radhika Bhalerao, Sully Chen
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma. CoRR abs/2305.07642 (2023) - [i8]Reza Azad, Amirhossein Kazerouni
Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection. CoRR abs/2309.00108 (2023) - [i7]Reza Azad, Leon Niggemeier, Michael Huttemann, Amirhossein Kazerouni
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation. CoRR abs/2309.00121 (2023) - [i6]Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni
Self-supervised Semantic Segmentation: Consistency over Transformation. CoRR abs/2309.00143 (2023) - [i5]Ariana M. Familiar, Anahita Fathi Kazerooni, Hannah Anderson, Aliaksandr Lubneuski, Karthik Viswanathan, Rocky Breslow, Nastaran Khalili, Sina Bagheri
A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network. CoRR abs/2310.01413 (2023) - [i4]Afshin Bozorgpour, Bobby Azad, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
HCA-Net: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling. CoRR abs/2311.12486 (2023) - [i3]Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning. CoRR abs/2311.12617 (2023) - [i2]Amirhossein Kazerouni
FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation. CoRR abs/2311.13069 (2023) - [i1]Koushik Biswas, Debesh Jha, Nikhil Kumar Tomar, Gorkem Durak
Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans. CoRR abs/2312.11480 (2023)
Coauthor Index
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last updated on 2024-10-31 20:13 CET by the dblp team
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