23 citations · 25 across the 8 of their papers we have counts for
8 papers
Native-Domain Cross-Attention for Camera-LiDAR Extrinsic Calibration Under Large Initial Perturbations
Ni Ou, Zhuo Chen, Xinru Zhang +1
Accurate camera-LiDAR fusion relies on precise extrinsic calibration, which fundamentally depends on establishing reliable cross-modal correspondences under potentially large misal…
Iterative Camera-LiDAR Extrinsic Optimization via Surrogate Diffusion
Ni Ou, Zhuo Chen, Xinru Zhang +1
Cameras and LiDAR are essential sensors for autonomous vehicles. The fusion of camera and LiDAR data addresses the limitations of individual sensors but relies on precise extrinsic…
Iterative Camera-LiDAR Extrinsic Optimization via Surrogate Diffusion
Ni Ou, Zhuo Chen, Xinru Zhang +1
Cameras and LiDAR are essential sensors for autonomous vehicles. Camera-LiDAR data fusion compensate for deficiencies of stand-alone sensors but relies on precise extrinsic calibra…
SegHeD: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints
Berke Doga Basaran, Xinru Zhang, Paul M. Matthews +1
Assessment of lesions and their longitudinal progression from brain magnetic resonance (MR) images plays a crucial role in diagnosing and monitoring multiple sclerosis (MS). Machin…
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts
Xinru Zhang, Ni Ou, Berke Doga Basaran +8
Brain lesion segmentation plays an essential role in neurological research and diagnosis. As brain lesions can be caused by various pathological alterations, different types of bra…
Advancing Brain Tumor Inpainting with Generative Models
Ruizhi Zhu, Xinru Zhang, Haowen Pang +2
Synthesizing healthy brain scans from diseased brain scans offers a potential solution to address the limitations of general-purpose algorithms, such as tissue segmentation and bra…
Unsupervised Brain Tumor Segmentation with Image-based Prompts
Xinru Zhang, Ni Ou, Chenghao Liu +3
Automated brain tumor segmentation based on deep learning (DL) has achieved promising performance. However, it generally relies on annotated images for model training, which is not…
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation
Xinru Zhang, Chenghao Liu, Ni Ou +5
Brain lesion segmentation provides a valuable tool for clinical diagnosis, and convolutional neural networks (CNNs) have achieved unprecedented success in the task. Data augmentati…