Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation. - Naji Khosravan; Haydar Celik; Baris Turkbey; Ruida Cheng; Evan S. McCreedy; Matthew J. McAuliffe; Sandra Bednarova; Elizabeth C. Jones; Xinjian Chen 001; Peter L. Choyke; Bradford J. Wood; Ulas Bagci (MCV/BAMBI@MICCAI, 2016)

Semi-Supervised Multi-Task Learning for Lung Cancer Diagnosis. - Naji Khosravan; Ulas Bagci (EMBC, 2018)

S4ND: Single-Shot Single-Scale Lung Nodule Detection. - Naji Khosravan; Ulas Bagci (MICCAI (2), 2018)

On Attention Modules for Audio-Visual Synchronization. - Naji Khosravan; Shervin Ardeshir; Rohit Puri (CVPR Workshops, 2019)

PAN: Projective Adversarial Network for Medical Image Segmentation. - Naji Khosravan; Aliasghar Mortazi; Michael B. Wallace; Ulas Bagci (MICCAI (6), 2019)

Cross-Modality Knowledge Transfer for Prostate Segmentation from CT Scans. - Yucheng Liu 003; Naji Khosravan; Yulin Liu; Joseph N. Stember; Jonathan Shoag; Ulas Bagci; Sachin Jambawalikar (DART/MIL3ID@MICCAI, 2019)

Weakly Supervised Segmentation by a Deep Geodesic Prior. - Aliasghar Mortazi; Naji Khosravan; Drew A. Torigian; Sila Kurugol; Ulas Bagci (MLMI@MICCAI, 2019)

A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning. - Naji Khosravan; Haydar Celik; Baris Turkbey; Elizabeth C. Jones; Bradford J. Wood; Ulas Bagci (Medical Image Anal., 2019)

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. - Arjun D. Desai; Francesco Calivá; Claudia Iriondo; Naji Khosravan; Aliasghar Mortazi; Sachin Jambawalikar; Drew A. Torigian; Jutta Ellermann; Mehmet Akçakaya; Ulas Bagci; Radhika Tibrewala; Io Flament; et al. (CoRR, 2020)

Zillow Indoor Dataset: Annotated Floor Plans With 360deg Panoramas and 3D Room Layouts. - Steve Cruz; Will Hutchcroft; Yuguang Li; Naji Khosravan; Ivaylo Boyadzhiev; Sing Bing Kang (CVPR, 2021)

LASER: LAtent SpacE Rendering for 2D Visual Localization. - Zhixiang Min; Naji Khosravan; Zachary Bessinger; Manjunath Narayana; Sing Bing Kang; Enrique Dunn; Ivaylo Boyadzhiev (CVPR, 2022)

Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange. - Satyavrat Wagle; Seyyedali Hosseinalipour; Naji Khosravan; Mung Chiang; Christopher G. Brinton (GLOBECOM, 2022)

Generating Topological Structure of Floorplans from Room Attributes. - Yu Yin 001; Will Hutchcroft; Naji Khosravan; Ivaylo Boyadzhiev; Yun Fu 001; Sing Bing Kang (ICMR, 2022)

Graph-CoVis: GNN-based Multi-view Panorama Global Pose Estimation. - Negar Nejatishahidin; Will Hutchcroft; Manjunath Narayana; Ivaylo Boyadzhiev; Yuguang Li; Naji Khosravan; Jana Kosecká; Sing Bing Kang (CVPR Workshops, 2023)

ZInD-Tell: Towards Translating Indoor Panoramas into Descriptions. - Tonmoay Deb; Lichen Wang; Zachary Bessinger; Naji Khosravan; Eric Penner; Sing Bing Kang (CVPR Workshops, 2024)

iBARLE: imBalance-Aware Room Layout Estimation. - Taotao Jing; Lichen Wang; Naji Khosravan; Zhiqiang Wan; Zachary Bessinger; Zhengming Ding; Sing Bing Kang (WACV, 2024)

Deformable Capsules for Object Detection. - Rodney LaLonde; Naji Khosravan; Ulas Bagci (Adv. Intell. Syst., 2024)

Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning Without Labels. - Satyavrat Wagle; Seyyedali Hosseinalipour; Naji Khosravan; Christopher G. Brinton (IEEE Trans. Cogn. Commun. Netw., 2024)

TFM2: Training-Free Mask Matching for Open-Vocabulary Semantic Segmentation. - Yaoxin Zhuo; Zachary Bessinger; Lichen Wang; Naji Khosravan; Baoxin Li; Sing Bing Kang (WACV, 2025)

Multi-Modal Federated Learning for Cancer Staging Over Non-IID Datasets With Unbalanced Modalities. - Kasra Borazjani; Naji Khosravan; Leslie Ying; Seyyedali Hosseinalipour (IEEE Trans. Medical Imaging, 2025)

ReStyle3D: Scene-Level Appearance Transfer with Semantic Correspondences. - Liyuan Zhu; Shengqu Cai; Shengyu Huang; Gordon Wetzstein; Naji Khosravan; Iro Armeni (CoRR, 2025)

Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions. - Kasra Borazjani; Payam Abdisarabshali; Naji Khosravan; Seyyedali Hosseinalipour (CoRR, 2025)

Multi-Modal Multi-Task (M3T) Federated Foundation Models for Embodied AI: Potentials and Challenges for Edge Integration. - Kasra Borazjani; Payam Abdisarabshali; Fardis Nadimi; Naji Khosravan; Minghui Liwang; Xianbin Wang 001; Yiguang Hong; Seyyedali Hosseinalipour (CoRR, 2025)