Publications

Research in medical imaging, machine learning, and human intelligence.

281–300 of 369 publications

Newest first

2023Journal of Medical Imaging - 2023

Relational reasoning network for anatomical landmarking

Torosdagli, Neslisah, et al.

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2023IEEE ICECCME 2023

Self-supervised learning for organs at risk and tumor segmentation with uncertainty quantification

Ilkin Isler, Debesh Jha, Curtis Lisle, et al.

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2023ICCV 2023

Self-supervised semantic segmentation: consistency over transformation

S Karimijafarbigloo, R Azad, et al.

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2023npj Digital Medicine - 2023

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

Keles, Elif, and Ulas Bagci

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2023MIDL 2023

TransNetR: transformer-based residual network for polyp segmentation with multi-center out-of-distribution testing

Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci

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2023IEEE EMBC 2023

TransResU-net: transformer based ResU-net for real-time colonoscopy polyp segmentation

Tomar, Nikhil Kumar, et al.

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2022Medical & Biological Engineering & Computing (Springer)

An automatic segmentation framework for computer-assisted renal scintigraphy

Rahimi, A., Hosntalab, M., Babapour, F., Amoui, M., Bagci, U.

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2022IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS)

Automatic polyp segmentation with multiple kernel dilated convolution network

Tomar, Nikhil Kumar, et al.

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2022Gastroenterology 2022

Deep learning models in the classification of intraductal papillary mucinous neoplasms with visual explanation methods to highlight areas of interest for algorithm decision process

Engels, M. M., et al.

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2022Pancreas 2022

Design and rationale for the use of magnetic resonance imaging biomarkers to predict diabetes after acute pancreatitis in the diabetes related to acute pancreatitis and its mechanisms study: from the type 1 diabetes in acute pancreatitis consortium

Tirkes T., et al,

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2022SPIE Medical Imaging 2022

Detecting COVID-19 from respiratory sound recordings with transformers

Aytekin, Idil, et al.

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2022MICCAI MLMI

Dynamic linear transformer for 3D biomedical image segmentation

Zhang, Z., & Bagci, U.

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2022SPIE Medical Imaging 2022

Enhancing organ at risk segmentation with improved deep neural networks

Isler, Ilkin, et al.

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2022IEEE EMBC 2022

Multi-contrast MRI segmentation trained on synthetic images

Irmakci, I., Unel, Z. E., Ikizler-Cinbis, N., & Bagci, U.

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2022Osteoarthritis and Cartilage 2022

Multi-institutional large-scale validation of 8 methods for automatic knee MRI segmentation for use in clinical trials

Dam, E. B., et al.

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2022Advances in Clinical Radiology

Musculoskeletal MR image segmentation with artificial intelligence

Keles, E., Irmakci, I., Bagci, U.

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2022IEEE EMBC 2022

Neural transformers for intraductal papillary mucosal neoplasms (IPMN) classification in MRI images

Proietto Salanitri, F. et al.

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2022IEEE ICECCME 2022

Out of distribution detection, generalization, and robustness triangle with maximum probability theorem

Marvasti, Amir Emad, et al.

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2022MICCAI 2022

Tganet: text-guided attention for improved polyp segmentation

Tomar, N. K., Jha, D., Bagci, U., & Ali, S.

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2022Curr Med Imaging - 2022

The role of CO-RADS scoring system in the diagnosis of COVID-19 infection and its correlation with clinical signs

Şenol Çomoğlu, Sinan Öztürk, Ahmet Topçu, Fatma Kulalı, Aydın Kant, Resul Sobay, Mustafa Arslan, Hanife Şeyda Ülgür, Uğur Kostakoğlu, Eyüp Veli Küçük, Hanife Nur Karakoç, Merve Çağlar, Gülsüm Uzuğ, Ulas Bagci , Ömer Faruk Özkan, Gürdal Yılmaz

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