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2020 – today
- 2024
[j62]Xing Wu, Zhi Li, Chenjie Tao, Xianhua Han
, Yen-Wei Chen, Junfeng Yao, Jian Zhang, Qun Sun, Weimin Li, Yue Liu, Yike Guo:
DEA: Data-efficient augmentation for interpretable medical image segmentation. Biomed. Signal Process. Control. 89: 105748 (2024)- [j61]Zhe Liu, Xian-Hua Han:
Hyperspectral image super resolution using deep internal and self-supervised learning. CAAI Trans. Intell. Technol. 9(1): 128-141 (2024) - [j60]Yanqiu Wang, Tong Wang, Yi Cao, Xu Qiao, Xianhua Han, Zhi-Ping Liu:
TopMarker: Computational screening biomarkers of hepatocellular carcinoma from transcriptome and interactome based on differential network topological parameters. Comput. Biol. Chem. 112: 108166 (2024) - [j59]Xing Wu, Jie Pei, Xian-Hua Han, Yen-Wei Chen, Junfeng Yao, Yang Liu, Quan Qian, Yike Guo:
FedEL: Federated ensemble learning for non-iid data. Expert Syst. Appl. 237(Part A): 121390 (2024) - [j58]Xian-Hua Han, Kazuhiro Yamawaki, Huiyan Jiang:
Coupled image and kernel prior learning for high-generalized super-resolution. Neurocomputing 583: 127500 (2024) - [j57]Yulin Yang, Qingqing Chen, Yinhao Li, Fang Wang, Xian-Hua Han, Yutaro Iwamoto, Jing Liu, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images. IEEE J. Biomed. Health Informatics 28(8): 4737-4750 (2024) - [c154]YinWei Du, Jian Wang, Xing Wu, Xian-Hua Han:
Dual Directional Complementary Gradient Fusion and Deep Refinement for Hyperspectral Image Super Resolution. ICASSP 2024: 2385-2389 - [c153]Takumi Takabe, Xian-Hua Han, Yen-Wei Chen:
Deep Versatile Hyperspectral Reconstruction Model from A Snapshot Measurement with Arbitrary Masks. ICASSP 2024: 2390-2394 - [c152]Xian-Hua Han, Huiyan Jiang, Yen-Wei Chen:
Hyperspectral Image Reconstruction Using Hierarchical Neural Architecture Search from A Snapshot Image. ICASSP 2024: 2500-2504 - 2023
- [j56]He Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen:
3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation. IEICE Trans. Inf. Syst. 106(5): 1027-1037 (2023) - [j55]Kazuhiro Yamawaki, Xian-Hua Han:
Zero-Shot Blind Learning for Single-Image Super-Resolution. Inf. 14(1): 33 (2023) - [j54]Guoyu Tong, Huiyan Jiang, Tianyu Shi, Xian-Hua Han, Yu-Dong Yao:
A Lightweight Network for Contextual and Morphological Awareness for Hepatic Vein Segmentation. IEEE J. Biomed. Health Informatics 27(10): 4878-4889 (2023) - [j53]Xinran Zhang, Xiaoyu Shi, Yutaro Iwamoto, Jingliang Cheng, Jie Bai, Guohua Zhao, Xian-Hua Han, Yen-Wei Chen:
IDH mutation status prediction by a radiomics associated modality attention network. Vis. Comput. 39(6): 2367-2379 (2023) - [c151]Rahul Kumar Jain, Takahiro Sato, Ahmed M. El-Sayed, Taro Watasue, Tomohiro Nakagawa, Yutaro Iwamoto, Yinhao Li, Xianhua Han, Lanfen Lin, Hongjie Hu, Xiang Ruan, Yen-Wei Chen:
Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images. EMBC 2023: 1-4 - [c150]Yulin Yang, Yinhao Li, Qingqing Chen, Xian-Hua Han, Jing Liu, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
Spatial Attention-Guided Generative Adversarial Network for Synthesizing Contrast-enhanced Computed Tomography Images. EMBC 2023: 1-4 - [c149]Kazuhiro Yamawaki, Xian-Hua Han:
Local to global prior Learning for blind Unsupervised Image super Resolution. ICASSP 2023: 1-5 - [c148]Sho Harada, Xian-Hua Han:
Coarse-To-Fine Pyramid Feature Mining for Wheat Head Detection. ICIP 2023: 1350-1354 - [c147]Yuto Namba, Jiande Sun, Xian-Hua Han:
Coupling Spatial and Channel Transformer for Single Image Deraining. ICIP 2023: 2080-2084 - [c146]Sho Harada, Xian-Hua Han:
A Hybrid Wheat Head Detection model with Incorporated CNN and Transformer. MVA 2023: 1-5 - [c145]Takumi Morita, Xian-Hua Han:
Investigating self-supervised learning for Skin Lesion Classification. MVA 2023: 1-5 - [c144]Masato Tada, Xian-Hua Han:
Bottleneck Transformer model with Channel Self-Attention for skin lesion classification. MVA 2023: 1-5 - [c143]Tetsuo Inoshita, Yuto Namba, Yuichi Nakatani, Kenta Ishihara, Sachio Iwasaki, Kosuke Moriwaki, Xian-Hua Han:
Exploring Cross Modality Feature Fusion for Activity Recognition at OpenPack Challenge 2022. PerCom Workshops 2023: 262-263 - 2022
- [j52]Katsuhiro Nakai, Yen-Wei Chen, Xian-Hua Han:
Enhanced deep bottleneck transformer model for skin lesion classification. Biomed. Signal Process. Control. 78: 103997 (2022) - [j51]Shaocong Mo, Ming Cai, Lanfen Lin, Ruofeng Tong, Qingqing Chen, Fang Wang, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen:
Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2512-2526 (2022) - [j50]Huimin Huang, Qingqing Chen, Lanfen Lin, Ming Cai, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen, Ruofeng Tong, Hongjie Hu:
MTL-ABS3Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images. IEEE J. Biomed. Health Informatics 26(8): 3988-3998 (2022) - [j49]Xian-Hua Han, Yinqiang Zheng, Yen-Wei Chen:
Hyperspectral Image Reconstruction Using Multi-scale Fusion Learning. ACM Trans. Multim. Comput. Commun. Appl. 18(1): 16:1-16:21 (2022) - [j48]Zhe Liu, Xian-Hua Han:
Deep Self-Supervised Hyperspectral Image Reconstruction. ACM Trans. Multim. Comput. Commun. Appl. 18(3s): 149:1-149:20 (2022) - [c142]Kazuhiro Yamawaki, Xian-Hua Han:
Lightweight Hyperspectral Image Reconstruction Network with Deep Feature Hallucination. ACCV (Workshops) 2022: 170-184 - [c141]Zhe Liu, Xian-Hua Han:
Deep RGB-Driven Learning Network for Unsupervised Hyperspectral Image Super-Resolution. ACCV (Workshops) 2022: 226-239 - [c140]Yuuto Nanba, Hikaru Miyata, Xian-Hua Han:
Dual Heterogeneous Complementary Networks for Single Image Deraining. CVPR Workshops 2022: 567-576 - [c139]Yang Ai, Panyanat Aonpong, Weibin Wang, Yinhao Li, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen:
Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction of Non-Small Cell Lung Cancer. EMBC 2022: 447-450 - [c138]Rahul Kumar Jain, Takahiro Sato, Taro Watasue, Tomohiro Nakagawa, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Xiang Ruan, Yen-Wei Chen:
Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images. EMBC 2022: 1536-1539 - [c137]Swathi Ananda, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
Dual Discriminator-Based Unsupervised Domain Adaptation Using Adversarial Learning for Liver Segmentation on Multiphase CT Images. EMBC 2022: 1552-1555 - [c136]Yulin Yang, Yutaro Iwamoto, Yen-Wei Chen, Caie Xu, Qingqing Chen, Hongjie Hu, Xian-Hua Han, Ruofeng Tong, Lanfen Lin:
Synthesizing Contrast-enhanced Computed Tomography Images with an Improved Conditional Generative Adversarial Network. EMBC 2022: 2097-2100 - [c135]Weibin Wang, Fang Wang, Yunjun Yang, Yinhao Li, Jing Liu, Xianhua Han, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Yen-Wei Chen:
Deep Learning-based Risk Prediction Model for Recurrence-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image. GCCE 2022: 926-929 - [c134]Hongyi Wang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
Mixed Transformer U-Net for Medical Image Segmentation. ICASSP 2022: 2390-2394 - [c133]He Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen:
A Weakly-Supervised Anomaly Detection Method via Adversarial Training for Medical Images. ICCE 2022: 1-4 - [c132]Kazuhiro Yamawaki, Yorimoto Kohei, Xian-Hua Han:
Hyperspectral Reconstruction Using Auxiliary Rgb Learning From A Snapshot Image. ICIP 2022: 186-190 - [c131]Zhe Liu, Xianhua Han, Jiande Sun, Yen-Wei Chen:
Unsupervised Generative Network for Blind Hyperspectral Image Super-Resolution. ICIP 2022: 2621-2625 - [c130]Zhe Liu, Xian-Hua Han:
Generalized Deep Internal Learning for Hyperspectral Image Super Resolution. ICIP 2022: 2641-2645 - [c129]Huimin Huang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation. IJCAI 2022: 964-971 - [c128]Katsuhiro Nakai, Xian-Hua Han:
DPE-BoTNeT: Dual Position Encoding Bottleneck Transformer Network for Skin Lesion Classification. ISBI 2022: 1-5 - [c127]He Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-lesions. MICCAI (8) 2022: 214-223 - [c126]Kazuhiro Yamawaki, Xian-Hua Han:
Deep Unsupervised Blind Learning for Single Image Super Resolution. MIPR 2022: 190-193 - [c125]Kazuhiro Yamawaki, Xian-Hua Han:
Deep Image and Kernel Prior Learning for Blind Super-Resolution. MMAsia 2022: 2:1-2:7 - [c124]Yuto Namba, Xian-Hua Han:
Multi-Scale Channel Transformer Network for Single Image Deraining. MMAsia 2022: 20:1-20:7 - [i9]Huimin Huang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong:
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation. CoRR abs/2207.14552 (2022) - [i8]Hongyi Wang, Lanfen Lin, Hongjie Hu, Qingqing Chen, Yinhao Li, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
Super-Resolution Based Patch-Free 3D Medical Image Segmentation with Self-Supervised Guidance. CoRR abs/2210.14645 (2022) - 2021
- [j47]Panyanat Aonpong, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Yen-Wei Chen:
Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer. IEEE Access 9: 90244-90254 (2021) - [j46]Kohei Yamamichi, Xian-Hua Han:
Lightweight Multi-Scale Context Aggregation Deraining Network With Artifact-Attenuating Pooling and Activation Functions. IEEE Access 9: 146948-146958 (2021) - [j45]Zhe Liu, Yinqiang Zheng, Xian-Hua Han:
Deep Unsupervised Fusion Learning for Hyperspectral Image Super Resolution. Sensors 21(7): 2348 (2021) - [j44]Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong, Yen-Wei Chen:
A Cascade of 2.5D CNN and Bidirectional CLSTM Network for Mitotic Cell Detection in 4D Microscopy Image. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 396-404 (2021) - [j43]Huimin Huang, Han Zheng, Lanfen Lin, Ming Cai, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong:
Medical Image Segmentation With Deep Atlas Prior. IEEE Trans. Medical Imaging 40(12): 3519-3530 (2021) - [c123]Kohei Yamamichi, Xian-Hua Han:
Multi-scale Residual Aggregation Deraining Network with Spatial Context-aware Pooling and Activation. BMVC 2021: 62 - [c122]He Li, Yutaro Iwamoto, Xianhua Han, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen:
An Efficient and Accurate 3D Multiple-Contextual Semantic Segmentation Network for Medical Volumetric Images. EMBC 2021: 3309-3312 - [c121]Panyanat Aonpong, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Yen-Wei Chen:
Improved Genotype-Guided Deep Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer. EMBC 2021: 3561-3564 - [c120]Huimin Huang, Ming Cai, Lanfen Lin, Jing Zheng, Xiongwei Mao, Xiaohan Qian, Zhiyi Peng, Jianying Zhou, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
Graph-Based Pyramid Global Context Reasoning With a Saliency- Aware Projection for Covid-19 Lung Infections Segmentation. ICASSP 2021: 1050-1054 - [c119]Ryo Hasegawa, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Xiujun Cai, Yen-Wei Chen:
Automatic Detection and Segmentation of Liver Tumors in Multi- phase CT Images by Phase Attention Mask R-CNN. ICCE 2021: 1-5 - [c118]Yorimoto Kohei, Xian-Hua Han:
HyperMixNet: Hyperspectral Image Reconstruction with Deep Mixed Network from a Snapshot Measurement. ICCVW 2021: 1184-1193 - [c117]Kazuhiro Yamawaki, Xian-Hua Han:
Deep Blind Un-Supervised Learning Network for Single Image Super Resolution. ICIP 2021: 1789-1793 - [c116]Hongyi Wang, Lanfen Lin, Hongjie Hu, Qingqing Chen, Yinhao Li, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance. MICCAI (1) 2021: 131-141 - [c115]Huimin Huang, Nan Zhou, Lanfen Lin, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
3D Graph-S2Net: Shape-Aware Self-ensembling Network for Semi-supervised Segmentation with Bilateral Graph Convolution. MICCAI (2) 2021: 416-427 - [c114]Wenhao Fang, Xian-Hua Han, Xu Qiao, Huiyan Jiang, Yen-Wei Chen:
Multi-Scale Context Interaction Learning network for Medical Image Segmentation. MIPR 2021: 192-198 - [c113]Jian Wang, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
A Tensor Sparse Representation-Based CBMIR System for Computer-Aided Diagnosis of Focal Liver Lesions and its Pilot Trial. ICMR 2021: 660-666 - [c112]Katsuhiro Nakai, Xu Qiao, Xian-Hua Han:
Angular Margin Constrained Loss for Automatic Liver Fibrosis Staging. MVA 2021: 1-5 - [i7]Yingying Xu, Ming Cai, Lanfen Lin, Yue Zhang, Hongjie Hu, Zhiyi Peng, Qiaowei Zhang, Qingqing Chen, Xiongwei Mao, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images. CoRR abs/2103.00274 (2021) - [i6]Huimin Huang, Ming Cai, Lanfen Lin, Jing Zheng, Xiongwei Mao, Xiaohan Qian, Zhiyi Peng, Jianying Zhou, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
Graph-based Pyramid Global Context Reasoning with a Saliency-aware Projection for COVID-19 Lung Infections Segmentation. CoRR abs/2103.04235 (2021) - [i5]Panyanat Aonpong, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Yen-Wei Chen:
Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small-Cell Lung Cancer. CoRR abs/2104.14420 (2021) - [i4]Hongyi Wang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
Mixed Transformer U-Net For Medical Image Segmentation. CoRR abs/2111.04734 (2021) - 2020
- [j42]Dong Liang, Yingying Xu, Lanfen Lin, Nan Zhou, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Xianhua Han, Yutaro Iwamoto, Yen-Wei Chen:
CasCRNN-GL-Net: cascaded convolutional and recurrent neural networks with global and local pathways for classification of focal liver lesions in multi-phase CT images. Commun. Inf. Syst. 20(4): 415-442 (2020) - [j41]Min Gao, Xian-Hua Han, Jing Li, Hui Ji, Huaxiang Zhang, Jiande Sun:
Image super-resolution based on two-level residual learning CNN. Multim. Tools Appl. 79(7-8): 4831-4846 (2020) - [j40]Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong, Yen-Wei Chen:
An end-to-end CNN and LSTM network with 3D anchors for mitotic cell detection in 4D microscopic images and its parallel implementation on multiple GPUs. Neural Comput. Appl. 32(10): 5669-5679 (2020) - [j39]Jian Wang, Jing Li, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Yingying Xu, Qingqing Chen, Yutaro Iwamoto, Yen-Wei Chen:
Tensor-based sparse representations of multi-phase medical images for classification of focal liver lesions. Pattern Recognit. Lett. 130: 207-215 (2020) - [j38]Liying Peng, Lanfen Lin, Hongjie Hu, Yue Zhang, Huali Li, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen:
Semi-Supervised Learning for Semantic Segmentation of Emphysema With Partial Annotations. IEEE J. Biomed. Health Informatics 24(8): 2327-2336 (2020) - [j37]Xian-Hua Han, Yinqiang Zheng, Jiande Sun, Yen-Wei Chen:
Hyperspectral Reconstruction with Redundant Camera Spectral Sensitivity Functions. ACM Trans. Multim. Comput. Commun. Appl. 16(2): 57:1-57:15 (2020) - [c111]Wenhao Fang, Xian-Hua Han:
Spatial and Channel Attention Modulated Network for Medical Image Segmentation. ACCV Workshops 2020: 3-17 - [c110]Zhe Liu, Yinqiang Zheng, Xian-Hua Han:
Unsupervised Multispectral and Hyperspectral Image Fusion with Deep Spatial and Spectral Priors. ACCV Workshops 2020: 31-45 - [c109]Seiya Fujita, Xian-Hua Han:
Cell Detection and Segmentation in Microscopy Images with Improved Mask R-CNN. ACCV Workshops 2020: 58-70 - [c108]Kohei Yamamichi, Xian-Hua Han:
MCGKT-Net: Multi-level Context Gating Knowledge Transfer Network for Single Image Deraining. ACCV (2) 2020: 68-83 - [c107]Huimin Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Jian Wu:
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation. ICASSP 2020: 1055-1059 - [c106]Yusuke Yoshinobu, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Yen-Wei Chen:
Deep Learning Method for Content-Based Retrieval of Focal Liver Lesions Using Multiphase Contrast-Enhanced Computer Tomography Images. ICCE 2020: 1-4 - [c105]Yorimoto Kohei, Xian-Hua Han:
Deep Residual Attention Network for Hyperspectral Image Reconstruction. ICPR 2020: 8547-8553 - [c104]Huimin Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Jian Wu:
WNET: An End-to-End Atlas-Guided and Boundary-Enhanced Network for Medical Image Segmentation. ISBI 2020: 763-766 - [c103]Shaocong Mo, Ming Cai, Lanfen Lin, Ruofeng Tong, Qingqing Chen, Fang Wang, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen:
Multimodal Priors Guided Segmentation of Liver Lesions in MRI Using Mutual Information Based Graph Co-Attention Networks. MICCAI (4) 2020: 429-438 - [i3]Huimin Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Jian Wu:
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation. CoRR abs/2004.08790 (2020) - [i2]Kohei Yamamichi, Xian-Hua Han:
MCGKT-Net: Multi-level Context Gating Knowledge Transfer Network for Single Image Deraining. CoRR abs/2010.09241 (2020)
2010 – 2019
- 2019
- [j36]Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Lanfen Lin, Amir Hossein Foruzan, Wei Xiong, Yen-Wei Chen:
VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation. Comput. Medical Imaging Graph. 75: 74-83 (2019) - [j35]Sihai Yang, Xianhua Han, Yen-Wei Chen:
Three-Dimensional Embryonic Image Segmentation and Registration Based on Shape Index and Ellipsoid-Fitting Method. J. Comput. Biol. 26(2): 128-142 (2019) - [j34]Xian-Hua Han, Yongqing Sun, Jian Wang, Boxin Shi, Yinqiang Zheng, Yen-Wei Chen:
Spectral Representation via Data-Guided Sparsity for Hyperspectral Image Super-Resolution. Sensors 19(24): 5401 (2019) - [j33]Liying Peng, Yen-Wei Chen, Lanfen Lin, Hongjie Hu, Huali Li, Qingqing Chen, Xiaoli Ling, Dan Wang, Xianhua Han, Yutaro Iwamoto:
Classification and Quantification of Emphysema Using a Multi-Scale Residual Network. IEEE J. Biomed. Health Informatics 23(6): 2526-2536 (2019) - [j32]En Yu, Jiande Sun, Jing Li, Xiaojun Chang, Xian-Hua Han, Alexander G. Hauptmann:
Adaptive Semi-Supervised Feature Selection for Cross-Modal Retrieval. IEEE Trans. Multim. 21(5): 1276-1288 (2019) - [c102]Xian-Hua Han, Yen-Wei Chen:
Deep Residual Network of Spectral and Spatial Fusion for Hyperspectral Image Super-Resolution. BigMM 2019: 266-270 - [c101]Xian-Hua Han, Yongqing Sun, Yen-Wei Chen:
Residual Component Estimating CNN for Image Super-Resolution. BigMM 2019: 443-447 - [c100]Yutaro Iwamoto, Kun Xiong, Takahiro Kitamura, Xian-Hua Han, Naoki Matsushiro, Hiroshi Nishimura, Yen-Wei Chen:
Automatic Segmentation of the Paranasal Sinus from Computer Tomography Images Using a Probabilistic Atlas and a Fully Convolutional Network. EMBC 2019: 2789-2792 - [c99]Weibin Wang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Qiaowei Zhang, Hongjie Hu, Lanfen Lin, Yen-Wei Chen:
Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data. EMBC 2019: 4881-4884 - [c98]Titinunt Kitrungrotsakul, Yutaro Iwamoto, Xian-Hua Han, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Xiong Wei, Yen-Wei Chen:
A Cascade of CNN and LSTM Network with 3D Anchors for Mitotic Cell Detection in 4D Microscopic Image. ICASSP 2019: 1239-1243 - [c97]Xian-Hua Han, Yinqiang Zheng, Yen-Wei Chen:
Multi-Level and Multi-Scale Spatial and Spectral Fusion CNN for Hyperspectral Image Super-Resolution. ICCV Workshops 2019: 4330-4339 - [c96]Xiao Chen, Jian Wu, Lanfen Lin, Dong Liang, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
A Dual-Attention Dilated Residual Network for Liver Lesion Classification and Localization on CT Images. ICIP 2019: 235-239 - [c95]Dong Liang, Ruofeng Tong, Jian Wu, Lanfen Lin, Xiao Chen, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen:
Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic Ct Images. ICIP 2019: 794-798 - [c94]Xiao Chen, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong, Jian Wu:
A Cascade Attention Network for Liver Lesion Classification in Weakly-Labeled Multi-phase CT Images. DART/MIL3ID@MICCAI 2019: 129-138 - [c93]Han Zheng, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong, Jian Wu:
Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior. MICCAI (6) 2019: 148-156 - 2018
- [j31]Yingying Xu, Lanfen Lin, Hongjie Hu, Dan Wang, Wenchao Zhu, Jian Wang, Xian-Hua Han, Yen-Wei Chen:
Texture-specific bag of visual words model and spatial cone matching-based method for the retrieval of focal liver lesions using multiphase contrast-enhanced CT images. Int. J. Comput. Assist. Radiol. Surg. 13(1): 151-164 (2018) - [j30]Yen-Wei Chen, Xinyin Huang, Dingye Chen, Xian-Hua Han:
Generic and Specific Impressions Estimation and Their Application to KANSEI-Based Clothing Fabric Image Retrieval. Int. J. Pattern Recognit. Artif. Intell. 32(10): 1854024:1-1854024:18 (2018) - [j29]Xian-Hua Han, Boxin Shi, Yinqiang Zheng:
Self-Similarity Constrained Sparse Representation for Hyperspectral Image Super-Resolution. IEEE Trans. Image Process. 27(11): 5625-5637 (2018) - [c92]Weibin Wang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Qingqing Chen, Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang:
Classification of Focal Liver Lesions Using Deep Learning with Fine-Tuning. DMIP 2018: 56-60 - [c91]