Amir Borhani

According to our database, Amir Borhani authored at least 14 papers between 2022 and 2025.

Collaborative distances:

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

2025

Liver Cirrhosis Stage Estimation from MRI with Deep Learning.

Jun Zeng, Debesh Jha, Ertugrul Aktas, Elif Keles, Alpay Medetalibeyoglu, Matthew Antalek, Amir Borhani, Daniela P. Ladner, Gorkem Durak, Ulas Bagci

CoRR, February, 2025

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation.

Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Matthew Antalek, Zheyuan Zhang, Bin Wang, Md Mostafijur Rahman, Hongyi Pan, Alpay Medetalibeyoglu, Vandan Gorade, Abhijit Das, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Shifts in Doctors' Eye Movements Between Real and AI-Generated Medical Images.

David C. Wong, Bin Wang, Gorkem Durak, Marouane Tliba, Mohamed Amine Kerkouri, Aladine Chetouani, Ahmet Enis Çetin, Cagdas Topel, Nicolo Gennaro, Camila Vendrami, Tugce Agirlar Trabzonlu, Amir Ali Rahsepar, Laetitia Perronne, Matthew Antalek, Onural Ozturk, Gokcan Okur, Andrew C. Gordon, Ayis Pyrros, Frank H. Miller, Amir Borhani, Hatice Savas, Eric M. Hart, Elizabeth A. Krupinski, Ulas Bagci

Proceedings of the 2025 Symposium on Eye Tracking Research and Applications, 2025

Eyes Tell the Truth: GazeVal Highlights Shortcomings of Generative AI in Medical Imaging.

David C. Wong, Bin Wang, Gorkem Durak, Marouane Tliba, Akshay Chaudhari, Aladine Chetouani, Ahmet Enis Çetin, Cagdas Topel, Nicolo Gennaro, Camila Lopes Vendrami, Tugce Agirlar Trabzonlu, Amir Ali Rahsepar, Laetitia Perronne, Matthew Antalek, Onural Ozturk, Gokcan Okur, Andrew C. Gordon, Ayis Pyrros, Frank H. Miller, Amir Borhani, Hatice Savas, Eric M. Hart, Drew A. Torigian, Jayaram K. Udupa, Elizabeth A. Krupinski, Ulas Bagci

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

CirrMRI600+: Large Scale MRI Collection and Segmentation of Cirrhotic Liver.

Debesh Jha, Onkar Susladkar, Vandan Gorade, Elif Keles, Matthew Antalek, Deniz Seyithanoglu, Timurhan Cebeci, Ertugrul Aktas, Gulbiz Dagoglu Kartal, Sabahattin Kaymakoglu, Sukru Mehmet Erturk, Yuri S. Velichko, Daniela P. Ladner, Amir Borhani, Alpay Medetalibeyoglu, Gorkem Durak, Ulas Bagci

CoRR, 2024

A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation.

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

CoRR, 2024

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation.

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

CoRR, 2024

A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation.

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

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis.

Koushik Biswas, Debesh Jha, Nikhil Kumar Tomar, Meghana Karri, Amit Reza, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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 P. Ladner, Amir Borhani, Ulas Bagci

Proceedings of the IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

PAM-UNet: Shifting Attention on Region of Interest in Medical Images.

Abhijit Das, Debesh Jha, Vandan Gorade, Koushik Biswas, Hongyi Pan, Zheyuan Zhang, Daniela P. Ladner, Yury Velichko, Amir Borhani, Ulas Bagci

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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 P. Ladner, Amir Borhani, Ulas Bagci

CoRR, 2023

2022

Transformer Based Generative Adversarial Network for Liver Segmentation.

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

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