Xian‐Hua Han 研究室

主宰者：Xian‐Hua Han

立教大学

AI 要約（直近 5 年の研究成果）

本研究室は、深層学習とコンピュータビジョン技術を用いた医療画像解析および画像処理を主要な研究テーマとしています。特に、限られた情報量から高品質な画像を再構成・合成する問題に取り組んでいます。例えば、撮影時の物理的・経済的負担を軽減するために、造影剤を使わないCT画像から造影済みCT画像を生成したり、圧縮された測定データから多波長画像（ハイパースペクトル画像）を復元したりする技術を開発しています。医療診断への応用も重視しており、肝臓腫瘍や肺結節、皮膚がんなど複数の疾患を対象として、画像から診断に必要な特徴を抽出・分類する手法を研究しています。これらの研究では、敵対的生成ネットワーク（GAN）や拡散モデル、注意機構を備えた神経ネットワークなど、最新の深層学習技術を活用しています。また、教師あり学習のみに依存せず、ラベルなしデータも活用する弱教師あり学習や自己教師あり学習といったアプローチにも取り組み、実臨床で得られる限定的なデータでも高精度な診断モデルを構築することを目指しています。加えて、悪天候下での物体検出やセンサデータの可視化解析など、医療以外の応用分野にも深層学習技術を展開しており、汎用的な画像・データ処理手法の開発と実装を進めています。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

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研究成果（84 件）

[2026] Tiny yet efficient macrostructure-assisted U-Net for OCTA retinal vessel segmentation
DOI: https://doi.org/10.1117/12.3096320
[2026] WFSCA-YOLO: Robust Object Detection for Terrestrial Optical Sensing Under Atmospheric Degradation via a Wavelet-Driven Frequency–Spatial Co-Awareness Framework
DOI: https://doi.org/10.3390/rs18101667
[2025] Food Nutrient Estimation Based on a Dual-directional Self-attention Aggregation Enhanced Inception Model
DOI: https://doi.org/10.1145/3746264.3760488
[2025] A dual-branch pathology-prior attention mechanism based on Swin Transformer for the classification of p16/Ki-67 dual-staining cervical pathological cytology images
DOI: https://doi.org/10.1016/j.bspc.2025.108397
[2025] Hierarchical multiscale feature fusion spectral transformer for the generation of medical hyperspectral image
DOI: https://doi.org/10.1016/j.asoc.2025.113632
[2025] Multi-Scale Attention-Driven Hierarchical Learning for Fine-Grained Visual Categorization
DOI: https://doi.org/10.3390/electronics14142869
[2025] AGEM-Net: optimization method for subtype classification of liver tumors via adaptive gamma transform for dark region enhancement, improved metabolic differentiation, and enhanced edges
DOI: https://doi.org/10.1117/12.3071724
[2025] Weakly-Supervised Liver Lesion Detection in CT Images Using Adversarial Networks
DOI: https://doi.org/10.1109/tetci.2025.3573247
[2025] Deep RGB-guided generative network for unsupervised hyperspectral image super-resolution
DOI: https://doi.org/10.1007/s10489-025-06595-y
[2025] [Small bowel video keyframe retrieval based on multi-modal contrastive learning].
DOI: https://doi.org/10.7507/1001-5515.202304021

続きを表示（残り 74 件）

[2025] Using SDPC for Visual Exploratory Analysis of Semiconductor Production Line Sensor Data
DOI: https://doi.org/10.3390/s25071984
[2025] High-Generalized Unfolding Model With Coupled Spatial-Spectral Transformer for Hyperspectral Image Reconstruction
DOI: https://doi.org/10.1109/tci.2025.3564776
[2025] Multi-Degradation Oriented Deep Unfolding Model for Hyperspectral Image Reconstruction
DOI: https://doi.org/10.1109/icassp49660.2025.10890865
[2025] Development and validation of a machine learning-based pathomics nomogram for prognostic prediction in endometrial cancer
DOI: https://doi.org/10.1007/s12672-025-04226-z
[2024] Coupled image and kernel prior learning for high-generalized super-resolution
DOI: https://doi.org/10.1016/j.neucom.2024.127500
[2024] Mask-Guided Spatial–Spectral MLP Network for High-Resolution Hyperspectral Image Reconstruction
DOI: https://doi.org/10.3390/s24227362
[2024] Extraction and Classification of Lung Nodule Features Using Fusion Method of Self-Supervised Encoder Learning and Supervised Transfer Learning
DOI: https://doi.org/10.1109/scisisis61014.2024.10760163
[2024] TopMarker: Computational screening biomarkers of hepatocellular carcinoma from transcriptome and interactome based on differential network topological parameters
DOI: https://doi.org/10.1016/j.compbiolchem.2024.108166
[2024] GANs-guided Conditional Diffusion Model for Synthesizing Contrast-enhanced Computed Tomography Images
DOI: https://doi.org/10.1109/embc53108.2024.10781923
[2024] Lesion Feature Extraction and Classification Optimization Method Using Dynamic Fusion of Global Attention and Local Attention
DOI: https://doi.org/10.1109/ijcnn60899.2024.10651301
[2024] Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images
DOI: https://doi.org/10.1109/jbhi.2024.3403199
[2024] Unsupervised Enhancement Method for Papanicolaou-Stained Cervical Cancer Pathology Images based on Zero-MSRCP
DOI: https://doi.org/10.1145/3669828.3669830
[2024] [Medical image segmentation data augmentation method based on channel weight and data-efficient features].
DOI: https://doi.org/10.7507/1001-5515.202302024
[2024] Hyperspectral Image Reconstruction Using Hierarchical Neural Architecture Search from A Snapshot Image
DOI: https://doi.org/10.1109/icassp48485.2024.10448077
[2024] Dual Directional Complementary Gradient Fusion and Deep Refinement for Hyperspectral Image Super Resolution
DOI: https://doi.org/10.1109/icassp48485.2024.10446402
[2024] Deep Versatile Hyperspectral Reconstruction Model from A Snapshot Measurement with Arbitrary Masks
DOI: https://doi.org/10.1109/icassp48485.2024.10445895
[2024] Hyperspectral image super resolution using deep internal and self‐supervised learning
DOI: https://doi.org/10.1049/cit2.12285
[2023] A Boundary-Enhanced Liver Segmentation Network for Multi-Phase CT Images with Unsupervised Domain Adaptation
DOI: https://doi.org/10.3390/bioengineering10080899
[2023] Coupling Spatial and Channel Transformer for Single Image Deraining
DOI: https://doi.org/10.1109/icip49359.2023.10222823
[2023] DEA: Data-efficient augmentation for interpretable medical image segmentation
DOI: https://doi.org/10.1016/j.bspc.2023.105748
[2023] Coarse-To-Fine Pyramid Feature Mining for Wheat Head Detection
DOI: https://doi.org/10.1109/icip49359.2023.10222678
[2023] FedEL: Federated ensemble learning for non-iid data
DOI: https://doi.org/10.1016/j.eswa.2023.121390
[2023] A Lightweight Network for Contextual and Morphological Awareness for Hepatic Vein Segmentation
DOI: https://doi.org/10.1109/jbhi.2023.3305644
[2023] Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images
DOI: https://doi.org/10.1109/embc40787.2023.10340608
[2023] Spatial Attention-Guided Generative Adversarial Network for Synthesizing Contrast-enhanced Computed Tomography Images
DOI: https://doi.org/10.1109/embc40787.2023.10340586
[2023] Investigating self-supervised learning for Skin Lesion Classification
DOI: https://doi.org/10.23919/mva57639.2023.10215580
[2023] Bottleneck Transformer model with Channel Self-Attention for skin lesion classification
DOI: https://doi.org/10.23919/mva57639.2023.10215720
[2023] A Hybrid Wheat Head Detection model with Incorporated CNN and Transformer
DOI: https://doi.org/10.23919/mva57639.2023.10216087
[2023] ResMLP_GGR: Residual Multilayer Perceptrons- Based Genotype-Guided Recurrence Prediction of Non-small Cell Lung Cancer
DOI: https://doi.org/10.18178/joig.11.2.185-194
[2023] Local to global prior Learning for blind Unsupervised Image super Resolution
DOI: https://doi.org/10.1109/icassp49357.2023.10096533
[2023] 3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation
DOI: https://doi.org/10.1587/transinf.2022edp7193
[2023] GND-PCA Method for Identification of Gene Functions Involved in Asymmetric Division of C. elegans
DOI: https://doi.org/10.3390/math11092039
[2023] Exploring Cross Modality Feature Fusion for Activity Recognition at OpenPack Challenge 2022
DOI: https://doi.org/10.1109/percomworkshops56833.2023.10150371
[2023] [LASS2/TMSG1 overexpression inhibits proliferation and promotes apoptosis of human lung cancer A549 cells possibly by upregulating ceramide and p38 MAPK to activate a signaling cascade].
DOI: https://doi.org/10.12122/j.issn.1673-4254.2023.02.02
[2023] Zero-Shot Blind Learning for Single-Image Super-Resolution
DOI: https://doi.org/10.3390/info14010033
[2022] Deep Image and Kernel Prior Learning for Blind Super-Resolution
DOI: https://doi.org/10.1145/3551626.3564958
[2022] Multi-Scale Channel Transformer Network for Single Image Deraining
DOI: https://doi.org/10.1145/3551626.3564946
[2022] Deep Learning-based Risk Prediction Model for Recurrence-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image
DOI: https://doi.org/10.1109/gcce56475.2022.10014204
[2022] Hyperspectral Reconstruction Using Auxiliary Rgb Learning From A Snapshot Image
DOI: https://doi.org/10.1109/icip46576.2022.9897926
[2022] Unsupervised Generative Network for Blind Hyperspectral Image Super-Resolution
DOI: https://doi.org/10.1109/icip46576.2022.9897424
[2022] Generalized Deep Internal Learning for Hyperspectral Image Super Resolution
DOI: https://doi.org/10.1109/icip46576.2022.9897182
[2022] Deep Self-Supervised Hyperspectral Image Reconstruction
DOI: https://doi.org/10.1145/3510373
[2022] Deep Unsupervised Blind Learning for Single Image Super Resolution
DOI: https://doi.org/10.1109/mipr54900.2022.00040
[2022] Enhanced deep bottleneck transformer model for skin lesion classification
DOI: https://doi.org/10.1016/j.bspc.2022.103997
[2022] Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images
DOI: https://doi.org/10.1109/embc48229.2022.9871539
[2022] Dual Discriminator-Based Unsupervised Domain Adaptation Using Adversarial Learning for Liver Segmentation on Multiphase CT Images
DOI: https://doi.org/10.1109/embc48229.2022.9871188
[2022] Synthesizing Contrast-enhanced Computed Tomography Images with an Improved Conditional Generative Adversarial Network
DOI: https://doi.org/10.1109/embc48229.2022.9871672
[2022] Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction of Non-Small Cell Lung Cancer
DOI: https://doi.org/10.1109/embc48229.2022.9871896
[2022] ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise  Perspective for Medical Image Segmentation
DOI: https://doi.org/10.24963/ijcai.2022/135
[2022] MTL-ABS<sup>3</sup>Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images
DOI: https://doi.org/10.1109/jbhi.2022.3153406
[2022] Dual Heterogeneous Complementary Networks for Single Image Deraining
DOI: https://doi.org/10.1109/cvprw56347.2022.00072
[2022] Mixed Transformer U-Net for Medical Image Segmentation
DOI: https://doi.org/10.1109/icassp43922.2022.9746172
[2022] IDH mutation status prediction by a radiomics associated modality attention network
DOI: https://doi.org/10.1007/s00371-022-02452-y
[2022] DPE-BoTNeT: Dual Position Encoding Bottleneck Transformer Network for Skin Lesion Classification
DOI: https://doi.org/10.1109/isbi52829.2022.9761578
[2022] Phase Attention Model for Prediction of Early Recurrence of Hepatocellular Carcinoma With Multi-Phase CT Images and Clinical Data
DOI: https://doi.org/10.3389/fradi.2022.856460
[2022] Predicting lncRNA–Protein Interactions by Heterogenous Network Embedding
DOI: https://doi.org/10.3389/fgene.2021.814073
[2022] Hyperspectral Image Reconstruction Using Multi-scale Fusion Learning
DOI: https://doi.org/10.1145/3477396
[2021] Improved Genotype-Guided Deep Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer
DOI: https://doi.org/10.1109/embc46164.2021.9630703
[2021] Blind Image Super Resolution Using Deep Unsupervised Learning
DOI: https://doi.org/10.3390/electronics10212591
[2021] HyperMixNet: Hyperspectral Image Reconstruction with Deep Mixed Network from a Snapshot Measurement
DOI: https://doi.org/10.1109/iccvw54120.2021.00138
[2021] EFNet: evidence fusion network for tumor segmentation from PET-CT volumes
DOI: https://doi.org/10.1088/1361-6560/ac299a
[2021] Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation
DOI: https://doi.org/10.1109/tcsvt.2021.3112551
[2021] Multi-Scale Context Interaction Learning network for Medical Image Segmentation
DOI: https://doi.org/10.1109/mipr51284.2021.00036
[2021] A Tensor Sparse Representation-Based CBMIR System for Computer-Aided Diagnosis of Focal Liver Lesions and its Pilot Trial
DOI: https://doi.org/10.1145/3460426.3463673
[2021] Deep Blind Un-Supervised Learning Network for Single Image Super Resolution
DOI: https://doi.org/10.1109/icip42928.2021.9506783
[2021] Automatic Detection and Segmentation of Liver Tumors in Multi- phase CT Images by Phase Attention Mask R-CNN
DOI: https://doi.org/10.1109/icce50685.2021.9427760
[2021] Angular Margin Constrained Loss for Automatic Liver Fibrosis Staging
DOI: https://doi.org/10.23919/mva51890.2021.9511356
[2021] Graph-Based Pyramid Global Context Reasoning With a Saliency- Aware Projection for Covid-19 Lung Infections Segmentation
DOI: https://doi.org/10.1109/icassp39728.2021.9413957
[2021] PA‐ResSeg: A phase attention residual network for liver tumor segmentation from multiphase CT images
DOI: https://doi.org/10.1002/mp.14922
[2021] Deep Unsupervised Fusion Learning for Hyperspectral Image Super Resolution
DOI: https://doi.org/10.3390/s21072348
[2021] Deep Residual Attention Network for Hyperspectral Image Reconstruction
DOI: https://doi.org/10.1109/icpr48806.2021.9412321
[2021] Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer
DOI: https://doi.org/10.1109/access.2021.3088234
[2021] Lightweight Multi-Scale Context Aggregation Deraining Network With Artifact-Attenuating Pooling and Activation Functions
DOI: https://doi.org/10.1109/access.2021.3122450
[2021] Multi-scale Residual Aggregation Deraining Network with Spatial Context-aware Pooling and Activation
DOI: https://doi.org/10.5244/c.35.253

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AI 要約（直近 5 年の研究成果）

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研究成果（84 件）

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