GW
Guotai Wang
cs.CVeess.IVImage Processing, Computer-AssistedDeep LearningMagnetic Resonance Imagingcs.AISegmentationNasopharyngeal NeoplasmsTomography, X-Ray ComputedDeep learning
On Valency
published · living versionsW_ctyr365s·v1 · currentpublished
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
with Spyridon Bakas, Mauricio Reyes, Andras Jakab, Stefan Bauer +422
1 version
Preprints & journals
131 papers in the corpus · 2013–2026REST: Reliability-Guided Spatial Transcriptomics Supervision for Gene Expression Prediction from Histopathological HE-Stained Images2610.26988v1 · Lanfeng Zhong, Xiangyu Sun, Guixuan Xu et al.2026 · 0 citationsarXiv
Vox-MMSD: Voxel-Wise Multi-Scale and Multi-Modal Self-Distillation for Self-Supervised Brain Tumor Segmentation.40705573 · Zhou, Yubo, Wu, Jianghao, Fu, Jia et al.2026 · 1 citationIEEE journal of biomedical and health informatics. 2026;30(9):7966-7979
SUGFW+: An Uncertainty-guided Feature Weighting Framework for Cold Start Active Adaptation of SAM in Medical Image Segmentation2608.16110v1 · Xiaochuan Ma, Ning Zhu, Jia Fu et al.2026 · 0 citationsarXiv
UniCycleFlow: Bidirectional Unpaired Image Translation with a Shared Rectified Flow2608.06784v1 · Xianhao Zhou, Jianghao Wu, Shaoting Zhang et al.2026 · 0 citationsarXiv
CSBC: Class and Scale Balanced Semi-Supervised Blood Cell Detection.42479525 · Wang, Xuqing, Fu, Jia, Hua, Shi et al.2026 · 0 citationsIEEE journal of biomedical and health informatics. 2026;PP
SUDA: Simultaneous unsupervised knowledge distillation and adaptation of foundation models for efficient pathological image analysis.42364292 · Zhong, Lanfeng, Qian, Kun, Zhao, Weiren et al.2026 · 0 citationsMedical image analysis. 2026;113:104177
Concept Alignment Contrast and Long-Short Prompt Memory for Test-Time Adaptation of SAM3 in Medical Image Segmentation2606.22963v2 · Yubo Zhou, Jianghao Wu, Ping Ye et al.2026 · 0 citationsarXiv
Refining the boundaries of the nodal CTV in the middle neck for nasopharyngeal carcinoma.42500426 · Deng, Yue, Liu, Yi, Wang, Dan et al.2026 · 0 citationsPrecision radiation oncology. 2026;10(3):347-355
Stabilizing Temporal Inference Dynamics for Online Surgical Phase Recognition2605.16387v1 · Yang Liu, Ning Zhu, Jingjing Peng et al.2026 · 0 citationsarXiv
SegRap2025: A benchmark of gross tumor volume and lymph node clinical target volume Segmentation for Radiotherapy Planning of nasopharyngeal carcinoma.42114199 · Fu, Jia, Wang, Litingyu, Li, He et al.2026 · 0 citationsMedical image analysis. 2026;112:104121
Learning Modality-Aware Representations: Adaptive Group-Wise Interaction Network for Multimodal MRI Synthesis.41538356 · Song, Tao, Wu, Yicheng, Hu, Minhao et al.2026 · 0 citationsIEEE transactions on medical imaging. 2026;45(5):2306-2316
Is Deep Learning Ready for Abdominal Organ-at-Risk Segmentation in the Foundation Model Era: A Comprehensive Study of Challenging Clinical Cases.41962748 · Fu, Jia, Li, He, Luo, Zihao et al.2026 · 0 citationsInternational journal of radiation oncology, biology, physics. 2026;126(2):579-590
RAFM: Retrieval-Augmented Flow Matching for Unpaired CBCT-to-CT Translation2603.00535v1 · Xianhao Zhou, Jianghao Wu, Lanfeng Zhong et al.2026 · 0 citationsarXiv
MetaSSL: A General Heterogeneous Loss for Semi-Supervised Medical Image Segmentation.40902055 · Zhao, Weiren, Zhong, Lanfeng, Liao, Xin et al.2025 · 2 citationsIEEE transactions on medical imaging. 2025;PP
Advances in automated fetal brain MRI segmentation and biometry: Insights from the FeTA 2024 challenge.41564637 · Zalevskyi, Vladyslav, Sanchez, Thomas, Kaandorp, Misha et al.2026 · 6 citationsMedical image analysis. 2026;109:103941
InvCoSS: Inversion-driven Continual Self-supervised Learning in Medical Multi-modal Image Pre-training2512.19213v1 · Zihao Luo, Shaohao Rui, Zhenyu Tang et al.2025 · 0 citationsarXiv
Deep learning-based assessment of paraspinal muscle degeneration and its relationships to muscle function and disability outcomes in chronic low back pain: a prospective study.41405693 · Chen, Pinzhen, Ye, Ping, Yang, Taotao et al.2026 · 1 citationEuropean radiology. 2026;36(5):4197-4207
IPLC+: SAM-Guided Iterative Pseudo Label Correction for Source-Free Domain Adaptation in Medical Image Segmentation.40991604 · Zhang, Guoning, Qi, Xiaoran, Wu, Jianghao et al.2025 · 8 citationsIEEE journal of biomedical and health informatics. 2025;29(12):9060-9072
Improving diagnostic accuracy in preoperative glioma classification: performance of knowledge-enhanced large language models compared with radiologists.41310391 · Li, Shuang, Fang, Xin, Jin, Yuqi et al.2025 · 5 citationsNPJ precision oncology. 2025;9(1):383
PL-Seg: Partially labeled abdominal organ segmentation via classwise orthogonal contrastive learning and progressive self-distillation.41319623 · Li, He, Luo, Xiangde, Fu, Jia et al.2025 · 0 citationsMedical image analysis. 2026;108:103885
DINOv3-Guided Cross Fusion Framework for Semantic-aware CT generation from MRI and CBCT2511.12098v1 · Xianhao Zhou, Jianghao Wu, Ku Zhao et al.2025 · 2 citationsarXiv
SicTTA: Single image continual test time adaptation for medical image segmentation.41207141 · Wu, Jianghao, Liu, Xinya, Wang, Guotai et al.2025 · 7 citationsMedical image analysis. 2026;108:103859
VLM-CPL: Consensus Pseudo-Labels From Vision-Language Models for Annotation-Free Pathological Image Classification.40758498 · Zhong, Lanfeng, Huang, Zongyao, Liu, Yang et al.2025 · 5 citationsIEEE transactions on medical imaging. 2025;44(10):4023-4036
MedCAL-Bench: A Comprehensive Benchmark on Cold-Start Active Learning with Foundation Models for Medical Image Analysis2508.03441v2 · Ning Zhu, Xiaochuan Ma, Shaoting Zhang et al.2025 · 0 citationsarXiv
OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models2506.15318v3 · Lanfeng Zhong, Xin Liao, Shichuan Zhang et al.2025 · 1 citationarXiv
SRPL-SFDA: SAM-Guided Reliable Pseudo-Labels for Source-Free Domain Adaptation in Medical Image Segmentation2506.09403v1 · Xinya Liu, Jianghao Wu, Tao Lu et al.2025 · 13 citationsarXiv
UniSAL: Unified Semi-supervised Active Learning for histopathological image classification.40101375 · Zhong, Lanfeng, Qian, Kun, Liao, Xin et al.2025 · 13 citationsMedical image analysis. 2025;102:103542
Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model2503.00748v1 · Zihao Luo, Zijun Gao, Wenjun Liao et al.2025 · 2 citationsarXiv
Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results.39475746 · Payette, Kelly, Steger, Celine, Licandro, Roxane et al.2025 · 23 citationsIEEE transactions on medical imaging. 2025;44(3):1257-1272
A preoperative pathological staging prediction model for esophageal cancer based on CT radiomics.39972430 · Li, Haojun, Liang, Shuoming, Cui, Mengxuan et al.2025 · 3 citationsBMC cancer. 2025;25(1):298
Fairness Analysis of CLIP-Based Foundation Models for X-Ray Image Classification2501.19086v1 · Xiangyu Sun, Xiaoguang Zou, Yuanquan Wu et al.2025 · 3 citationsarXiv
CLISC: Bridging clip and sam by enhanced cam for unsupervised brain tumor segmentation2501.16246v1 · Xiaochuan Ma, Jia Fu, Wenjun Liao et al.2025 · 5 citationsarXiv
GLFC: Unified Global-Local Feature and Contrast Learning with Mamba-Enhanced UNet for Synthetic CT Generation from CBCT2501.02992v2 · Xianhao Zhou, Jianghao Wu, Huangxuan Zhao et al.2025 · 4 citationsarXiv
SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.39756265 · Luo, Xiangde, Fu, Jia, Zhong, Yunxin et al.2025 · 39 citationsMedical image analysis. 2025;101:103447
Head and Neck Tumor Segmentation of MRI from Pre- and Mid-Radiotherapy with Pre-Training, Data Augmentation and Dual Flow UNet.40291012 · Wang, Litingyu, Liao, Wenjun, Zhang, Shichuan et al.2025 · 3 citationsHead and Neck Tumor Segmentation for MR-Guided Applications : First MICCAI Challenge, HNTS-MRG 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024, proceedings. 2025;15273:75-86
Volume Fusion-Based Self-Supervised Pretraining for 3D Medical Image Segmentation.40982499 · Wang, Guotai, Fu, Jia, Wu, Jianghao et al.2025 · 1 citationIEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2025;34:6041-6052
A3-TTA: Adaptive Anchor Alignment Test-Time Adaptation for Image Segmentation.41428919 · Wu, Jianghao, Luo, Xiangde, Zhou, Yubo et al.2025 · 0 citationsIEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2025;34:8511-8522
Self-Consistent Nested Diffusion Bridge for Accelerated MRI Reconstruction2412.09998v2 · Tao Song, Yicheng Wu, Minhao Hu et al.2024 · 0 citationsarXiv
SenseCare: a research platform for medical image informatics and interactive 3D visualization.39639965 · Wang, Guotai, Duan, Qi, Shen, Tian et al.2026 · 45 citationsFrontiers in radiology. 2024;4:1460889
Generalizable Magnetic Resonance Imaging-based Nasopharyngeal Carcinoma Delineation: Bridging Gaps Across Multiple Centers and Raters With Active Learning.39557309 · Luo, Xiangde, Wang, Hongqiu, Xu, Jinfeng et al.2025 · 15 citationsInternational journal of radiation oncology, biology, physics. 2025;121(5):1384-1393
A multicenter dataset for lymph node clinical target volume delineation of nasopharyngeal carcinoma.39366975 · Luo, Xiangde, Liao, Wenjun, Zhao, Yue et al.2024 · 10 citationsScientific data. 2024;11(1):1085
FPL+: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation.38602852 · Wu, Jianghao, Guo, Dong, Wang, Guotai et al.2024 · 34 citationsIEEE transactions on medical imaging. 2024;43(9):3098-3109
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification2408.10069v2 · Reuben Dorent, Roya Khajavi, Tagwa Idris et al.2024 · 8 citationsMachine.Learning.for.Biomedical.Imaging. 3 (2025)
Weakly Supervised Lymph Nodes Segmentation Based on Partial Instance Annotations with Pre-trained Dual-branch Network and Pseudo Label Learning2408.09411v2 · Litingyu Wang, Yijie Qu, Xiangde Luo (1 et al.2024 · 3 citationsMachine Learning for Biomedical Imaging 2 (2024)
DMSPS: Dynamically mixed soft pseudo-label supervision for scribble-supervised medical image segmentation.39043109 · Han, Meng, Luo, Xiangde, Xie, Xiangjiang et al.2024 · 34 citationsMedical image analysis. 2024;97:103274
ScribSD+: Scribble-supervised medical image segmentation based on simultaneous multi-scale knowledge distillation and class-wise contrastive regularization.39018640 · Qu, Yijie, Lu, Tao, Zhang, Shaoting et al.2024 · 7 citationsComputerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 2024;116:102416
An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation2407.02893v2 · Zihao Luo, Xiangde Luo, Zijun Gao et al.2024 · 12 citationsarXiv
Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases2406.13674v1 · Xiangde Luo, Zihan Li, Shaoting Zhang et al.2024 · 19 citationsarXiv
OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine2402.18028v2 · Xiaosong Wang, Xiaofan Zhang, Guotai Wang et al.2024 · 11 citationsarXiv
One-Shot Weakly-Supervised Segmentation in 3D Medical Images.37440388 · Lei, Wenhui, Su, Qi, Jiang, Tianyu et al.2024 · 35 citationsIEEE transactions on medical imaging. 2024;43(1):175-189
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