Publications

Hierarchical 3D feature learning for pancreas segmentation.

Proietto Salanitri, F., Bellitto, G., Irmakci, I., Palazzo, S., Bagci, U., & Spampinato, C.

Information bottleneck attribution for visual explanations of diagnosis and prognosis

Demir, U., Irmakci, I., Keles, E., Topcu, A., Xu, Z., Spampinato, C., … & Bagci, U.

Interpretable deep model for predicting gene-addicted non-small-cell lung cancer in CT scans

Pino, Carmelo, Simone Palazzo, Francesca Trenta, et al.

Machine learning-based prediction of MRI-induced power absorption in the tissue in patients with simplified deep brain stimulation lead models

Vu, J., Nguyen, B. T., Bhusal, B., Baraboo, J., Rosenow, J., Bagci, U., … & Golestanirad, L.

Maximum probability theorem: a framework for probabilistic machine learning

Marvasti, A. E., Marvasti, E. E., Bagci, U., & Foroosh, H

Hoogenboom, S. A., Ravi, K., Engels, M. M., Irmakci, I., Keles, E., Bolan, C. W., … & Bagci, U

Morphometric and functional brain connectivity differentiates chess masters from amateur players

RaviPrakash, H., Anwar, S. M., Biassou, N. M., & Bagci, U.

No-reference image quality assessment of T2-weighted magnetic resonance images in prostate cancer patients.

Masoudi, S., Harmon, S., Mehralivand, S., Lay, N., Bagci, U., Wood, B.J., Pinto, P.A., Choyke, P. and Turkbey, B. (2021).

Predicting RF heating of conductive leads during magnetic resonance imaging at 1.5 t: a machine learning approach.

Zheng, C., Chen, X., Nguyen, B. T., et al.

Masoudi, Samira, Stephanie AA Harmon, Sherif Mehralivand, et al.

The international workshop on osteoarthritis imaging knee MRI segmentation challenge: a multi-institute evaluation and analysis framework on a standardized dataset

Desai, A. D., Caliva, F., Iriondo,

Adipose tissue segmentation in unlabeled abdomen MRI using cross modality domain adaptation

Masoudi, S., Razi, A., Gatlin, J., Turkbey, B., Bagci, U.

Stephanie A. Harmon, Thomas H. Sanford, Sheng Xu, et al.

Hoogenboom, S., Bagci, U., Wallace, MB.

Analysis of video retinal angiography with deep learning and eulerian magnification

Saha, S., LaLonde R., Carmack, A., Foroosh, H., Olson, J.C., Shaikh, S., Bagci, U.

Brain tumor survival prediction using radiomics features

Yousaf, S., Anwar, S, RaviPrakash, H., Bagci, U.

Deep convolutional neural networks based classification of Alzheimer’s disease using MRI data

Nawaz, A., Anwar, S., Liaqat, R., Iqbal, J., Bagci, U.

Deep learning provides exceptional accuracy to ECoG-based functional language mapping for epilepsy surgery

RaviPrakash, H., Korostenskaja, M., Castillo, E., Lee, KH., Salinas, CM., Baumgartner, J., Scampinatoe, C., Bagci, U.

Development of a device-to-image registration free needle guide for magnetic resonance imaging-guided targeted prostate biopsy

Pankaj Kulkarni, Sakura Sikander, Pradipta Biswas, Sumit Laha, Heather Cornnell, Jeremy R Burt, Ulas Bagci, Sang-Eun Song.

Diagnosing colorectal polyps in the wild with capsule networks

LaLonde, R., Kandel, P., Spampinato, C., Wallace, M, Bagci, U.