Unsupervised Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation via Semi-supervised Learning and Label Fusion. - Han Liu; Yubo Fan; Can Cui 006; Dingjie Su; Andrew McNeil; Benoit M. Dawant (BrainLes@MICCAI (2), 2021)

Atlas-based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks. - Jianing Wang 004; Dingjie Su; Yubo Fan; Srijata Chakravorti; Jack H. Noble; Benoit M. Dawant (MICCAI (4), 2021)

Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation. - Han Liu; Yubo Fan; Can Cui 006; Dingjie Su; Andrew McNeil; Benoit M. Dawant (CoRR, 2021)

Automatic, deep-learning-based segmentation of the amygdalohippocampectomy resection cavity in MR images. - Dingjie Su; Danika L. Paulo; Tyler Ball; Victoria L. Morgan; Dario J. Englot; Benoit M. Dawant (Image-Guided Procedures, 2023)

3D Shape Correspondence for Medical Applications Using Neural Descriptor Fields. - Dingjie Su; Yubo Fan; Yike Zhang 001; Benoit M. Dawant (ISBI, 2024)

Monocular Microscope to CT Registration using Pose Estimation of the Incus for Augmented Reality Cochlear Implant Surgery. - Yike Zhang 001; Eduardo Davalos; Dingjie Su; Ange Lou; Jack H. Noble (CoRR, 2024)

Unsupervised Mastoidectomy for Cochlear CT Mesh Reconstruction Using Highly Noisy Data. - Yike Zhang 001; Dingjie Su; Eduardo Davalos; Jack H. Noble (CoRR, 2024)

CT Contrast Phase Identification by Predicting the Temporal Angle Using Circular Regression. - Dingjie Su; Katherine D. Van Schaik; Lucas W. Remedios; Thomas Z. Li; Fabien Maldonado; Kim L. Sandler; Benoit M. Dawant; Bennett A. Landman (ISBI, 2025)

Beyond the Lungs: Extending the Field of View in Chest CT with Latent Diffusion Models. - Lianrui Zuo; Kaiwen Xu; Dingjie Su; Xin Yu 010; Aravind R. Krishnan; Yihao Liu; Shunxing Bao; Thomas Z. Li; Kim L. Sandler; Fabien Maldonado; Bennett A. Landman (CoRR, 2025)

Robust Body Composition Analysis by Generating 3D CT Volumes from Limited 2D Slices. - Lianrui Zuo; Xin Yu 010; Dingjie Su; Kaiwen Xu; Aravind R. Krishnan; Yihao Liu; Shunxing Bao; Fabien Maldonado; Luigi Ferrucci; Bennett A. Landman (CoRR, 2025)