Publications

Ensemble learning with residual transformer for brain tumor segmentation

Yao, Lanhong, et al.

Gastrointestinal disease diagnosis with hybrid model of capsules and CNNs

Sarsengeldin, Merey, et al.

Jha, Debesh, et al.

Wang, Bin, et al.

Laplacian-former: overcoming the limitations of vision transformers in local texture detection

Azad, Reza, et al

Monkeypox diagnosis with interpretable deep learning

Ahsan, Md. Manjurul, Ali, Md. Shahin, Hassan, Md. Mehedi, Abdullah, Tareque Abu, Gupta, Kishor Datta, Bagci, Ulas, Kaushal, Chetna, Soliman, Naglaa F.

Radiomics boosts deep learning model for IPMN classification

Yao L, Zhang Z, Demir U, Keles E, Vendrami C, Agarunov E, Bolan C, Schoots I, Bruno M, Keswani R, Miller F, Gonda T, Yazici C, Tirkes T, Wallace M, Spampinato C, Bagci U.

Real-time multi-class helmet violation detection using few-shot data sampling technique and yolov8

Aboah, Armstrong, et al.

Torosdagli, Neslisah, et al.

Tomar, Nikhil Kumar, Ulas Bagci, and Debesh Jha.

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

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

Self-supervised semantic segmentation: consistency over transformation

S Karimijafarbigloo, R Azad, et al.

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

Keles, Elif, and Ulas Bagci

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

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

Tomar, Nikhil Kumar, et al.

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

Automatic polyp segmentation with multiple kernel dilated convolution network

Tomar, Nikhil Kumar, et al.

Engels, M. M., et al.

Tirkes T., et al,

Aytekin, Idil, et al.