Kelei He

发表

Deep Learning-Based Classification and Voxel-Based Visualization of Frontotemporal Dementia and Alzheimer’s Disease

Yang Gao, Xin Zhang, Bing Zhang, 2021, Frontiers in Neuroscience.

Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images

Dinggang Shen, Wen Ji, Feng Shi, 2020, Pattern Recognition.

Evaluation of PET/MRI for Tumor Volume Delineation for Head and Neck Cancer

Dinggang Shen, Weili Lin, Kelei He, 2017, Front. Oncol..

Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images

D. Shen, Jinshan Tang, Xiaoming Liu, 2021, Pattern Recognition.

Transformers in Medical Image Analysis: A Review

D. Shen, I. Rekik, Yang Gao, 2022, ArXiv.

Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation

Seong-Whan Lee, Yuanjie Zheng, Ehsan Adeli, 2019, IEEE Transactions on Cybernetics.

Deep learning–based tumour segmentation and total metabolic tumour volume prediction in the prognosis of diffuse large B-cell lymphoma patients in 3D FDG-PET images

Zhengyang Zhou, Yang Gao, Jian He, 2022, European Radiology.

Transformers in Medical Image Analysis: A Review

D. Shen, I. Rekik, Yang Gao, 2022, Intelligent Medicine.

SLMT-Net: A Self-supervised Learning based Multi-scale Transformer Network for Cross-Modality MR Image Synthesis

Kelei He, Dinggang Shen, Tao Zhou, 2022, ArXiv.

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19

Dinggang Shen, Jun Wang, Jun Shi, 2020, IEEE Reviews in Biomedical Engineering.

Decreased cortical thickness and normal regional homogeneity underlying cognitive impairment in cerebral small vessel disease

Q. Ye, Ruomeng Qin, Lili Huang, 2022, Advanced Neurology.

Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks

Yinghuan Shi, Yang Gao, Xiaohuan Cao, 2019, IEEE Transactions on Medical Imaging.

Calcium Scoring at Coronary CT Angiography Using Deep Learning.

U. Schoepf, Youbing Yin, Junjie Bai, 2021, Radiology.

Multi-scale Transformer Network with Edge-aware Pre-training for Cross-Modality MR Image Synthesis

Kelei He, Dinggang Shen, Tao Zhou, 2022, 2212.01108.

Cross-level Feature Aggregation Network for Polyp Segmentation

Chen Gong, H. Fu, Dinggang Shen, 2023, Pattern Recognit..

CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation

Yaozong Gao, Dinggang Shen, Shuai Wang, 2019, Medical Image Anal..

HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images pdf

Xin Zhang, Yang Gao, Chunfeng Lian, 2020, IEEE Transactions on Medical Imaging.

Multi-scale Transformer Network with Edge-aware Pre-training for Cross-Modality MR Image Synthesis.

Kelei He, Dinggang Shen, Tao Zhou, 2022, IEEE transactions on medical imaging.

Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation

Yinghuan Shi, Dinggang Shen, Yang Gao, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition

Wen Ji, Jing Huo, Yang Gao, 2020, ECCV.

Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation pdf

Dinggang Shen, Jing Huo, Kelei He, 2021, ArXiv.

Transformers in medical image analysis

I. Rekik, Yang Gao, Kelei He, 2022 .

MIDCN: A Multiple Instance Deep Convolutional Network for Image Classification

Yinghuan Shi, Jing Huo, Kelei He, 2019, PRICAI.

Hierarchical Representation For Ct Prostate Segmentation

Yaozong Gao, Dinggang Shen, Shuai Wang, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).