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  2024 (16)
AI powered road network prediction with fused low-resolution satellite imagery and GPS trajectory. Gengeç, N. E.; Tari, E.; and Bagci, U. Earth Sci. Informatics, 17(2): 1013–1029. 2024.
AI powered road network prediction with fused low-resolution satellite imagery and GPS trajectory [link]Paper   doi   link   bibtex  
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions. Rauniyar, A.; Hagos, D. H.; Jha, D.; Håkegård, J. E.; Bagci, U.; Rawat, D. B.; and Vlassov, V. IEEE Internet Things J., 11(5): 7374–7398. 2024.
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions [link]Paper   doi   link   bibtex  
COVID-19 Detection From Respiratory Sounds With Hierarchical Spectrogram Transformers. Aytekin, I.; Dalmaz, O.; Gonc, K.; Ankishan, H.; Saritas, E. U.; Bagci, U.; Celik, H.; and Çukur, T. IEEE J. Biomed. Health Informatics, 28(3): 1273–1284. 2024.
COVID-19 Detection From Respiratory Sounds With Hierarchical Spectrogram Transformers [link]Paper   doi   link   bibtex  
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation. Azad, R.; Niggemeier, L.; Hüttemann, M.; Kazerouni, A.; Aghdam, E. K.; Velichko, Y.; Bagci, U.; and Merhof, D. In IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, pages 1276–1286, 2024.
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation [link]Paper   doi   link   bibtex  
INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings. Kazerouni, A.; Azad, R.; Hosseini, A.; Merhof, D.; and Bagci, U. In IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, pages 1287–1296, 2024.
INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings [link]Paper   doi   link   bibtex  
Domain Generalization with Correlated Style Uncertainty. Zhang, Z.; Wang, B.; Jha, D.; Demir, U.; and Bagci, U. In IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, pages 1989–1998, 2024.
Domain Generalization with Correlated Style Uncertainty [link]Paper   doi   link   bibtex  
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification. Wang, B.; Pan, H.; Aboah, A.; Zhang, Z.; Keles, E.; Torigian, D. A.; Turkbey, B.; Krupinski, E. A.; Udupa, J. K.; and Bagci, U. In IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, pages 2183–2192, 2024.
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification [link]Paper   doi   link   bibtex  
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation. Gorade, V.; Mittal, S.; Jha, D.; and Bagci, U. In IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, pages 7753–7762, 2024.
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation [link]Paper   doi   link   bibtex  
CT Liver Segmentation via PVT-based Encoding and Refined Decoding. Jha, D.; Tomar, N. K.; Biswas, K.; Durak, G.; Medetalibeyoglu, A.; Antalek, M.; Velichko, Y.; Ladner, D.; Borhani, A.; and Bagci, U. CoRR, abs/2401.09630. 2024.
CT Liver Segmentation via PVT-based Encoding and Refined Decoding [link]Paper   doi   link   bibtex  
Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation. Gorade, V.; Mittal, S.; Jha, D.; Singhal, R.; and Bagci, U. CoRR, abs/2401.10373. 2024.
Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation [link]Paper   doi   link   bibtex  
A Probabilistic Hadamard U-Net for MRI Bias Field Correction. Zhu, X.; Pan, H.; Velichko, Y.; Murphy, A. B.; Ross, A.; Turkbey, B.; Çetin, A. E.; and Bagci, U. CoRR, abs/2403.05024. 2024.
A Probabilistic Hadamard U-Net for MRI Bias Field Correction [link]Paper   doi   link   bibtex  
Explainable Transformer Prototypes for Medical Diagnoses. Demir, U.; Jha, D.; Zhang, Z.; Keles, E.; Allen, B. D.; Katsaggelos, A. K.; and Bagci, U. CoRR, abs/2403.06961. 2024.
Explainable Transformer Prototypes for Medical Diagnoses [link]Paper   doi   link   bibtex  
Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques. Hong, Z.; Jha, D.; Biswas, K.; Zhang, Z.; Velichko, Y.; Yazici, C.; Tirkes, T.; Borhani, A.; Turkbey, B.; Medetalibeyoglu, A.; Durak, G.; and Bagci, U. CoRR, abs/2404.17064. 2024.
Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques [link]Paper   doi   link   bibtex  
Segmentation Quality and Volumetric Accuracy in Medical Imaging. Zhang, Z.; and Bagci, U. CoRR, abs/2404.17742. 2024.
Segmentation Quality and Volumetric Accuracy in Medical Imaging [link]Paper   doi   link   bibtex  
DCT-Based Decorrelated Attention for Vision Transformers. Pan, H.; Hamdan, E.; Zhu, X.; Biswas, K.; Çetin, A. E.; and Bagci, U. CoRR, abs/2405.13901. 2024.
DCT-Based Decorrelated Attention for Vision Transformers [link]Paper   doi   link   bibtex  
PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation. Rahman, M. M.; Munir, M.; Jha, D.; Bagci, U.; and Marculescu, R. CoRR, abs/2405.16740. 2024.
PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation [link]Paper   doi   link   bibtex  
  2023 (55)
Monkeypox Diagnosis With Interpretable Deep Learning. Ahsan, M. M.; Ali, M. S.; Hassan, M. M.; Abdullah, T. A.; Gupta, K. D.; Bagci, U.; Kaushal, C.; and Soliman, N. F. IEEE Access, 11: 81965–81980. 2023.
Monkeypox Diagnosis With Interpretable Deep Learning [link]Paper   doi   link   bibtex  
An automatic segmentation framework for computer-assisted renal scintigraphy procedure. Rahimi, A.; Hosntalab, M.; Mofrad, F. B.; Amoui, M.; and Bagci, U. Medical Biol. Eng. Comput., 61(1): 285–295. 2023.
An automatic segmentation framework for computer-assisted renal scintigraphy procedure [link]Paper   doi   link   bibtex  
The past, current, and future of neonatal intensive care units with artificial intelligence: a systematic review. Keles, E.; and Bagci, U. npj Digit. Medicine, 6. 2023.
The past, current, and future of neonatal intensive care units with artificial intelligence: a systematic review [link]Paper   doi   link   bibtex  
Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8. Aboah, A.; Wang, B.; Bagci, U.; and Adu-Gyamfi, Y. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023 - Workshops, Vancouver, BC, Canada, June 17-24, 2023, pages 5350–5358, 2023.
Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8 [link]Paper   doi   link   bibtex  
DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos. Aboah, A.; Bagci, U.; Mussah, A. R.; Owor, N. J.; and Adu-Gyamfi, Y. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023 - Workshops, Vancouver, BC, Canada, June 17-24, 2023, pages 5359–5365, 2023.
DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos [link]Paper   doi   link   bibtex  
Gastrointestinal Disease Diagnosis with Hybrid Model of Capsules and CNNs. Sarsengeldin, M.; Imatayeva, S.; Abeuov, N.; Naukhanov, M.; Erdogan, A. S.; Jha, D.; and Bagci, U. In IEEE International Conference on Electro Information Technology, eIT 2023, Romeoville, IL, USA, May 18-20, 2023, pages 143–146, 2023.
Gastrointestinal Disease Diagnosis with Hybrid Model of Capsules and CNNs [link]Paper   doi   link   bibtex  
An Efficient Multi-Scale Fusion Network for 3D Organs at Risk (OARs) Segmentation. Srivastava, A.; Jha, D.; Keles, E.; Aydogan, B.; Abazeed, M.; and Bagci, U. In 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2023, Sydney, Australia, July 24-27, 2023, pages 1–4, 2023.
An Efficient Multi-Scale Fusion Network for 3D Organs at Risk (OARs) Segmentation [link]Paper   doi   link   bibtex  
TransResU-Net: A Transformer based ResU-Net for Real-Time Colon Polyp Segmentation. Tomar, N. K.; Shergill, A.; Rieders, B.; Bagci, U.; and Jha, D. In 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2023, Sydney, Australia, July 24-27, 2023, pages 1–4, 2023.
TransResU-Net: A Transformer based ResU-Net for Real-Time Colon Polyp Segmentation [link]Paper   doi   link   bibtex  
GazeSAM: Interactive Image Segmentation with Eye Gaze and Segment Anything Model. Wang, B.; Aboah, A.; Zhang, Z.; Pan, H.; and Bagci, U. In Gaze Meets Machine Learning Workshop, 16 December 2023, New Orleans,