most citedNo Modality Left Behind: Adapting to Missing Modalities via Knowledge Distillation for Brain Tumor Segmentation

2 citations · 2 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2025

A Large Scale Benchmark for Test Time Adaptation Methods in Medical Image Segmentation

Wenjing Yu, Shuo Jiang, Yifei Chen +9

Test time Adaptation is a promising approach for mitigating domain shift in medical image segmentation; however, current evaluations remain limited in terms of modality coverage, t…

cs.CV2025

IE-SRGS: An Internal-External Knowledge Fusion Framework for High-Fidelity 3D Gaussian Splatting Super-Resolution

Xiang Feng, Tieshi Zhong, Shuo Chang +7

Reconstructing high-resolution (HR) 3D Gaussian Splatting (3DGS) models from low-resolution (LR) inputs remains challenging due to the lack of fine-grained textures and geometry. E…

cs.CV2025

Multimodal Feature Prototype Learning for Interpretable and Discriminative Cancer Survival Prediction

Shuo Jiang, Zhuwen Chen, Liaoman Xu +6

Survival analysis plays a vital role in making clinical decisions. However, the models currently in use are often difficult to interpret, which reduces their usefulness in clinical…

cs.CV2025

SmaRT: Style-Modulated Robust Test-Time Adaptation for Cross-Domain Brain Tumor Segmentation in MRI

Yuanhan Wang, Yifei Chen, Shuo Jiang +7

Reliable brain tumor segmentation in MRI is indispensable for treatment planning and outcome monitoring, yet models trained on curated benchmarks often fail under domain shifts ari…

cs.CV2025★ 2 cited

No Modality Left Behind: Adapting to Missing Modalities via Knowledge Distillation for Brain Tumor Segmentation

Shenghao Zhu, Yifei Chen, Weihong Chen +6

Accurate brain tumor segmentation is essential for preoperative evaluation and personalized treatment. Multi-modal MRI is widely used due to its ability to capture complementary tu…

cs.CV2025

Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation

Shenghao Zhu, Yifei Chen, Weihong Chen +5

Accurate and reliable brain tumor segmentation, particularly when dealing with missing modalities, remains a critical challenge in medical image analysis. Previous studies have not…

math.CO2025

The enumeration of plane (3,6)-triangulations and the form of odd perfect numbers

Jan Florek

Let be the family of all -connected plane triangulations with vertices of degree or . The number of non-isomorphic triangulations belonging to $\math…

cs.CV2025

MMLNB: Multi-Modal Learning for Neuroblastoma Subtyping Classification Assisted with Textual Description Generation

Huangwei Chen, Yifei Chen, Zhenyu Yan +4

Neuroblastoma (NB), a leading cause of childhood cancer mortality, exhibits significant histopathological variability, necessitating precise subtyping for accurate prognosis and tr…

eess.IV2024

TC-KANRecon: High-Quality and Accelerated MRI Reconstruction via Adaptive KAN Mechanisms and Intelligent Feature Scaling

Ruiquan Ge, Xiao Yu, Yifei Chen +10

Magnetic Resonance Imaging (MRI) has become essential in clinical diagnosis due to its high resolution and multiple contrast mechanisms. However, the relatively long acquisition ti…