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Elif Keles
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2020 – today
- 2025
- [j2]Zheyuan Zhang, Elif Keles, Gorkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade, Debesh Jha, Asli C. Ormeci, Alpay Medetalibeyoglu, Lanhong Yao, Bin Wang, Ilkin Sevgi Isler, Linkai Peng, Hongyi Pan, Camila Lopes Vendrami, Amir Bourhani, Yury Velichko, Boqing Gong, Concetto Spampinato, Ayis Pyrros, Pallavi Tiwari, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Emil Agarunov, Nassier Harfouch, Chenchan Huang, Marco J. Bruno, Ivo Schoots, Rajesh N. Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Baris Turkbey, Michael B. Wallace, Ulas Bagci:
Large-scale multi-center CT and MRI segmentation of pancreas with deep learning. Medical Image Anal. 99: 103382 (2025) - 2024
- [c6]Ugur Demir, Debesh Jha, Zheyuan Zhang, Elif Keles, Bradley D. Allen, Aggelos K. Katsaggelos, Ulas Bagci:
Explainable Transformer Prototypes for Medical Diagnoses. ISBI 2024: 1-5 - [c5]Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Elif Keles, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci:
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification. WACV 2024: 2183-2192 - [i12]Ugur Demir, Debesh Jha, Zheyuan Zhang, Elif Keles, Bradley D. Allen, Aggelos K. Katsaggelos, Ulas Bagci:
Explainable Transformer Prototypes for Medical Diagnoses. CoRR abs/2403.06961 (2024) - [i11]Zheyuan Zhang, Elif Keles, Gorkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade
, Debesh Jha, Asli C. Ormeci, Alpay Medetalibeyoglu, Lanhong Yao, Bin Wang, Ilkin Sevgi Isler, Linkai Peng, Hongyi Pan, Camila Lopes Vendrami, Amir Bourhani, Yury Velichko, Boqing Gong, Concetto Spampinato, Ayis Pyrros, Pallavi Tiwari, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Emil Agarunov, Nassier Harfouch, Chenchan Huang, Marco J. Bruno, Ivo Schoots, Rajesh N. Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Baris Turkbey, Michael B. Wallace, Ulas Bagci:
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning. CoRR abs/2405.12367 (2024) - [i10]Vandan Gorade, Onkar Susladkar, Gorkem Durak, Elif Keles, Ertugrul Aktas, Timurhan Cebeci, Alpay Medetalibeyoglu, Daniela P. Ladner, Debesh Jha, Ulas Bagci:
Towards Synergistic Deep Learning Models for Volumetric Cirrhotic Liver Segmentation in MRIs. CoRR abs/2408.04491 (2024) - 2023
- [j1]Elif Keles
The past, current, and future of neonatal intensive care units with artificial intelligence: a systematic review. npj Digit. Medicine 6 (2023) - [c4]Abhishek Srivastava, Debesh Jha, Elif Keles, Bulent Aydogan, Mohamed Abazeed, Ulas Bagci:
An Efficient Multi-Scale Fusion Network for 3D Organs at Risk (OARs) Segmentation. EMBC 2023: 1-4 - [c3]Lanhong Yao, Zheyuan Zhang, Ugur Demir, Elif Keles, Camila Vendrami, Emil Agarunov, Candice W. Bolan, Ivo Schoots, Marc J. Bruno, Rajesh Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Michael B. Wallace, Concetto Spampinato, Ulas Bagci:
Radiomics Boosts Deep Learning Model for IPMN Classification. MLMI@MICCAI (2) 2023: 134-143 - [i9]Tara M. Pattilachan, Ugur Demir, Elif Keles, Debesh Jha, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications. CoRR abs/2301.02181 (2023) - [i8]Elif Keles, Ulas Bagci:
The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence. CoRR abs/2302.00225 (2023) - [i7]Aliasghar Mortazi, Vedat Cicek, Elif Keles, Ulas Bagci:
Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation. CoRR abs/2302.02289 (2023) - [i6]Debesh Jha, Ashish Rauniyar
Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles. CoRR abs/2304.11530 (2023) - [i5]Lanhong Yao, Zheyuan Zhang, Ugur Demir, Elif Keles, Camila Vendrami, Emil Agarunov, Candice W. Bolan, Ivo Schoots, Marc J. Bruno, Rajesh Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Michael B. Wallace, Concetto Spampinato, Ulas Bagci:
Radiomics Boosts Deep Learning Model for IPMN Classification. CoRR abs/2309.05857 (2023) - [i4]Zheyuan Zhang, Lanhong Yao, Bin Wang, Debesh Jha, Elif Keles, Alpay Medetalibeyoglu, Ulas Bagci:
EMIT-Diff: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model. CoRR abs/2310.12868 (2023) - 2022
- [c2]Ugur Demir, Zheyuan Zhang, Bin Wang, Matthew Antalek, Elif Keles
Transformer Based Generative Adversarial Network for Liver Segmentation. ICIAP Workshops 2022: 340-347 - [i3]Ugur Demir, Zheyuan Zhang, Bin Wang, Matthew Antalek, Elif Keles, Debesh Jha, Amir Borhani, Daniela P. Ladner, Ulas Bagci:
Transformer based Generative Adversarial Network for Liver Segmentation. CoRR abs/2205.10663 (2022) - [i2]Abhishek Srivastava, Debesh Jha, Elif Keles, Bulent Aydogan, Mohamed Abazeed, Ulas Bagci:
An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation. CoRR abs/2208.07417 (2022) - 2021
- [c1]Ugur Demir, Ismail Irmakci
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. MLMI@MICCAI 2021: 396-405 - [i1]Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci:
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. CoRR abs/2104.02869 (2021)
Coauthor Index
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