3D whole brain segmentation using spatially localized atlas network tiles

Yuankai Huo, Zhoubing Xu, Yunxi Xiong, +7

NeuroImage

Whole Brain SegmentationImage AnalysisEngineeringNeuroimaging ModalityComputational Neuroscience +9

Adversarial synthesis learning enables segmentation without target modality ground truth

Yuankai Huo, Zhoubing Xu, Shunxing Bao, +3

Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningTarget Modality +14

3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

Ho Hin Lee, Shunxing Bao, Yuankai Huo, +1

arXiv (Cornell University)

Convolutional Neural NetworkMedical Image SegmentationEngineeringMachine LearningHierarchical Transformers +18

Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging

Ruining Deng, Can Cui, Quan Liu, +13

arXiv (Cornell University)

Whole Slide ImagingMedical Image SegmentationEngineeringWhole-slide ImagingMachine Learning +21

UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation

Xin Yu, Qi Yang, Yinchi Zhou, +12

Medical Image Analysis

EngineeringMachine LearningLocal Spatial RepresentationImage AnalysisData Science +15

Fully convolutional neural networks improve abdominal organ segmentation

Bennett A. Landman, Meg F. Bobo, Yuankai Huo, +7

High-resolution 3D abdominal segmentation with random patch network fusion

Yucheng Tang, Riqiang Gao, Ho Hin Lee, +11

Medical Image Analysis

Machine VisionImage AnalysisMedical ImagingEngineeringAbdominal Imaging +8

Cross-scale multi-instance learning for pathological image diagnosis

Ruining Deng, Can Cui, Lucas W. Remedios, +12

Medical Image Analysis

Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks

Yuankai Huo, Zhoubing Xu, Shunxing Bao, +7

Convolutional Neural NetworkEngineeringMachine LearningPathologySegmentation Methods +21

Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks

Yuankai Huo, Zhoubing Xu, Shunxing Bao, +8

IEEE Transactions on Medical Imaging

Convolutional Neural NetworkEngineeringMachine LearningPathologySegmentation Methods +16