top of page




S, Wagle, S. Hosseinalipour, N. Khosravan, M. Chiang, C. Brinton, “Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange,” Global Communications Conference (Globecom), August 2022.

Y. Yin, W. Hutchcroft, N. Khosravan, I. Boyadzhiev, Y. Fu and S.B. Kang, “Generating Topological Structure of Floorplans from Room Attributes,” ACM International Conference on Multimedia Retrieval (ICMR), June 2022.


Z. Min, N. Khosravan, Z. Bessinger, M. Narayana, S.B. Kang, E. Dunn, and I. Boyadzhiev, “LASER: LAtent SpacE Rendering for 2D Visual Localization,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2022. (Oral)

V. Stoeva, S.B. Kang, N. Khosravan, L. Wixson, “Automated Usability Assessment Of Buildings Using Visual Data Of Captured In-Room Images,” US Patent 17185793, granted August 2022.

Pierre Moulon, Naji Khosravan, Yuguang Li, Yujie Li, Ivaylo Boyadzhiev, “Automated Analysis Of Image Contents To Determine The Acquisition Location Of The Image,” US Patent 17013323, granted March 2022.



R. Lalonde, N. Khosravan, U. Bagci, “Deformable capsules for object detection,” arXiv preprint arXiv:2104.05031, April 2021.

A.D. Desai et. al., “The international workshop on osteoarthritis imaging knee MRI segmentation challenge: a multi-institute evaluation and analysis framework on a standardized dataset,"Radiology Artificial Intelligence Journal, February 2021.


S. Cruz, W. Hutchcroft, Y. Li, N. Khosravan, I. Boyadzhiev, S.B. Kang, “Zillow indoor dataset: Annotated floor plans with 360deg panoramas and 3d room layouts," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2021.

R. Lalonde, N. Khosravan, U. Bagci, “Deformable capsules for object detection,” US Patent 17302800, granted September 2022.



A.D. Desai et. al., “A multi-institute automated segmentation evaluation on a standard dataset: Findings from the international workshop on osteoarthritis imaging segmentation challenge,"Journal of Osteoarthritis and Cartilage, April, 2020.


R. Puri, N. Khosravan, S. Ardeshir Behrostaghi, “Techniques for identifying synchronization errors in media titles," US Patent 16687209, granted May 2020.

U. Bagci, N. Khosravan, S. Hussein, “Method for detection and diagnosis of lung and pancreatic cancers from imaging scans," US Patent 16673397, granted May 2020.



Y. Liu, N. Khosravan, Y. Liu, J. Stember, J. Shoag, U. Bagci, S. Jambawalikar, “Cross-modality knowledge transfer for prostate segmentation from CT scans," Domain adaptation and representation transfer and medical image learning with less labels and imperfect data. Springer, Cham, October 2019.

A. Mortazi, N. Khosravan, D.A. Torigian, S. Kurugol, U. Bagci, “Weakly supervised segmentation by a deep geodesic prior," International Workshop on Machine Learning in Medical Imaging (MICCAI Workshops), October 2019.

N. Khosravan, A. Mortazi, M. Wallace, U. Bagci, “Pan: Projective adversarial network for medical image segmentation," International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), October 2019.

N. Khosravan, S. Ardeshir, R. Puri, “On Attention Modules for Audio-Visual Synchronization," CVPR Workshops, January 2019.


N. Khosravan, H. Celik, B. Turkbey, E.C. Jones, B. Wood, U. Bagci, “A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning," Medical image analysis Journal, January 2019.

N. Khosravan, “Collaborative Artificial Intelligence Algorithms for Medical Imaging Applications," PhD Dissertation, 2019.

2018 & earlier


N. Khosravan, U. Bagci, “S4ND: Single-Shot Single-Scale Lung Nodule Detection," International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), October 2018.

J.R. Burt, N. Torosdagli, N. Khosravan, H. RaviPrakash, A. Mortazi, F. Tissavirasingham, S. Hussein, U. Bagci, “Deep learning beyond cats and dogs: recent advances in diagnosing breast cancer with deep neural networks," The British journal of radiology, September 2018.

N. Khosravan, U. Bagci, “Semi-supervised multi-task learning for lung cancer diagnosis," International Conference on 40th Annual international conference of the IEEE engineering in medicine and biology society (EMBC), July 2018.

N. Khosravan, H. Celik, B. Turkbey, R. Cheng, E. McCreedy, M. McAuliffe, S. Bednarova, E. Jones, X. Chen, P. Choyke, B.Wood, U. Bagci, “Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation," Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging (MICCAI Workshops), October 2016.

bottom of page