Elif Keles

According to our database, Elif Keles authored at least 13 papers between 2021 and 2024.

Collaborative distances:

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

2024

Explainable Transformer Prototypes for Medical Diagnoses.

Ugur Demir, Debesh Jha, Zheyuan Zhang, Elif Keles, Bradley D. Allen, Aggelos K. Katsaggelos, Ulas Bagci

CoRR, 2024

GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification.

Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Elif Keles, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci

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

2023

The past, current, and future of neonatal intensive care units with artificial intelligence: a systematic review.

Elif Keles, Ulas Bagci

npj Digit. Medicine, 2023

EMIT-Diff: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model.

Zheyuan Zhang, Lanhong Yao, Bin Wang, Debesh Jha, Elif Keles, Alpay Medetalibeyoglu, Ulas Bagci

CoRR, 2023

Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles.

Debesh Jha, Ashish Rauniyar, Abhishek Srivastava, Desta Haileselassie Hagos, Nikhil Kumar Tomar, Vanshali Sharma, Elif Keles, Zheyuan Zhang, Ugur Demir, Ahmet Topcu, Anis Yazidi, Jan Erik Håkegård, Ulas Bagci

CoRR, 2023

Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation.

Aliasghar Mortazi, Vedat Cicek, Elif Keles, Ulas Bagci

CoRR, 2023

The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence.

Elif Keles, Ulas Bagci

CoRR, 2023

A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications.

Tara M. Pattilachan, Ugur Demir, Elif Keles, Debesh Jha, Derk Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Michael B. Wallace, Ulas Bagci

CoRR, 2023

Radiomics Boosts Deep Learning Model for IPMN Classification.

Lanhong Yao, Zheyuan Zhang, Ugur Demir, Elif Keles, Camila Vendrami, Emil Agarunov, Candice W. Bolan, Ivo Schoots, Marc Bruno, Rajesh Keswani, Frank Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Michael B. Wallace, Concetto Spampinato, Ulas Bagci

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

An Efficient Multi-Scale Fusion Network for 3D Organs at Risk (OARs) Segmentation.

Abhishek Srivastava, Debesh Jha, Elif Keles, Bulent Aydogan, Mohamed Abazeed, Ulas Bagci

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation.

Abhishek Srivastava, Debesh Jha, Elif Keles, Bulent Aydogan, Mohamed Abazeed, Ulas Bagci

CoRR, 2022

Transformer Based Generative Adversarial Network for Liver Segmentation.

Ugur Demir, Zheyuan Zhang, Bin Wang, Matthew Antalek, Elif Keles, Debesh Jha, Amir Borhani, Daniela Ladner, Ulas Bagci

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

2021

Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis.

Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021