:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Binghua, Mao, Jie, Sun, Zhe, Li, Chao, Zhao, Qibin, Tanaka, Toshihisa
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2404.08917
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks
by: Li, Binghua, et al.
Published: (2025)

Structured Unitary Tensor Network Representations for Circuit-Efficient Quantum Data Encoding
by: Lin, Guang, et al.
Published: (2026)

Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
by: Lin, Guang, et al.
Published: (2024)

Large Language Model Sentinel: LLM Agent for Adversarial Purification
by: Lin, Guang, et al.
Published: (2024)

Efficient Nonparametric Tensor Decomposition for Binary and Count Data
by: Tao, Zerui, et al.
Published: (2024)

EpilepsyLLM: Domain-Specific Large Language Model Fine-tuned with Epilepsy Medical Knowledge
by: Zhao, Xuyang, et al.
Published: (2024)

Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis
by: Tao, Zerui, et al.
Published: (2024)

Adversarial Guided Diffusion Models for Adversarial Purification
by: Lin, Guang, et al.
Published: (2024)

Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation
by: Lin, Guang, et al.
Published: (2025)

Interpretable Image Classification via Non-parametric Part Prototype Learning
by: Zhu, Zhijie, et al.
Published: (2025)

Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging
by: Capellán-Martín, Daniel, et al.
Published: (2024)

RETRACTION: Multi‐classification of Brain Tumor by Using Deep Convolutional Neural Network Model in Magnetic Resonance Imaging Images
Published: (2026)

Cross-patient Seizure Onset Zone Classification by Patient-Dependent Weight
by: Zhao, Xuyang, et al.
Published: (2025)

Enhanced Prototypical Part Network (EPPNet) For Explainable Image Classification Via Prototypes
by: Atote, Bhushan, et al.
Published: (2024)

Research on Brain Tumor Classification Method Based on Improved ResNet34 Network
by: Li, Yufeng, et al.
Published: (2025)

MR-EEGWaveNet: Multiresolutional EEGWaveNet for Seizure Detection from Long EEG Recordings
by: Hassan, Kazi Mahmudul, et al.
Published: (2025)

GAProtoNet: A Multi-head Graph Attention-based Prototypical Network for Interpretable Text Classification
by: Wen, Ximing, et al.
Published: (2024)

DB-FGA-Net: Dual Backbone Frequency Gated Attention Network for Multi-Class Brain Tumor Classification with Grad-CAM Interpretability
by: Shreya, Saraf Anzum, et al.
Published: (2025)

ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation [Technical Report]
by: Ayoobi, Hamed, et al.
Published: (2023)

Non-Stationarity in Brain-Computer Interfaces: An Analytical Perspective
by: Cecotti, Hubert, et al.
Published: (2025)

Style Feature Extraction Using Contrastive Conditioned Variational Autoencoders with Mutual Information Constraints
by: Yasutomi, Suguru, et al.
Published: (2023)

RETRACTION: MultiFeNet: Multi‐scale Feature Scaling in Deep Neural Network for the Brain Tumour Classification in MRI Images
Published: (2026)

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
by: Xue, Mengqi, et al.
Published: (2022)

URoadNet: Dual Sparse Attentive U-Net for Multiscale Road Network Extraction
by: Song, Jie, et al.
Published: (2024)

CIP-Net: Continual Interpretable Prototype-based Network
by: Di Valerio, Federico, et al.
Published: (2025)

Personalized Interpretability -- Interactive Alignment of Prototypical Parts Networks
by: Michalski, Tomasz, et al.
Published: (2025)

Hybrid Multihead Attentive Unet-3D for Brain Tumor Segmentation
by: Butt, Muhammad Ansab, et al.
Published: (2024)

ProtoTSNet: Interpretable Multivariate Time Series Classification With Prototypical Parts
by: Małkus, Bartłomiej, et al.
Published: (2025)

Magnetic Resonance Spectroscopy of Cystathionine and 2‐Hydroxyglutarate in Brain Tumors
by: Changho Choi, et al.
Published: (2025)

Prostate Cancer Classification and Interpretation With Multiparametric Magnetic Resonance Imaging and Gleason Grade Score Using DarkNet53 Model
by: Vasantha Pragasam Gladis Pushparathi, et al.
Published: (2024)

Brain Tumor Classification Dataset with Images
by: Dr. Narinder Pal Singh
Published: (2025)

Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation
by: Jiang, Zhifan, et al.
Published: (2024)

Leveraging Local and Global Features for Enhanced Segmentation of Brain Metastatic Tumors in Magnetic Resonance Imaging
by: Mojtaba Mansouri Nejad, et al.
Published: (2025)

Magnetic Resonance Imaging Reveals Meningeal Lymphatic Impairment in Lung Adenocarcinoma Brain Metastasis Progression
by: Yuan Zhang, et al.
Published: (2026)

EVA-Net: Interpretable Anomaly Detection for Brain Health via Learning Continuous Aging Prototypes from One-Class EEG Cohorts
by: Zhang, Kunyu, et al.
Published: (2025)

Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
by: Ma, Chiyu, et al.
Published: (2024)

Hierarchical Vision Transformer with Prototypes for Interpretable Medical Image Classification
by: Gallée, Luisa, et al.
Published: (2025)

A Novel Global Context-aware Deep Neural Network for Enhanced Brain Tumor Segmentation using Magnetic Resonance Images
by: Mukherjee, Sourjya, et al.
Published: (2026)

Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction
by: Yuan, Longhao, et al.
Published: (2019)

Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification
by: Di, Kexin, et al.
Published: (2025)