Thông tin nhà nghiên cứu KH&CN

Nhận dạng khuôn mặt trực tiếp và ứng dụng trong mở cửa tự động

Phân vùng tổn thương da từ ảnh soi da bằng mô hình segUnet

Nhận dạng người dựa trên hình ảnh khớp ngón tay sử dụng Raspberry Pi

PHS-Net: convolution and transformer dual-path with selective feature fusion for medical image segmentation

DermoMamba: A Cross-Scale Mamba-based Model with Guide Fusion Loss for Skin Lesion Segmentation in Dermoscopy Images

ADC-MambaNet: A Lightweight U-Shaped Architecture with Mamba and Multi-Dimensional Priority Attention for Medical Image Segmentation,

MambaU-Lite: A Lightweight Model based on Mamba and Integrated Channel-Spatial Attention for Skin Lesion Segmentation

Polyp Segmentation based on Mamba-MLP Mixer and Transformer

Lite-SCMamba: A Lightweight Model Applying Spatial and Channel Attention with Mamba Framework for Medical Image Segmentation

LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation

Mixmamba-fewshot: mamba and attention mixer-based method with few-shot learning for bearing fault diagnosis

MCST-Net: A Multi-Cross-Spatial attention U-net with Transformer block for Skin Lesion Segmentation

AC-MambaSeg: An Adaptive Convolution and Mamba-based Architecture for Enhanced Skin Lesion Segmentation

AC-MLP: Axial Convolution-MLP Mixer for nuclei segmentation in histopathological images

LiteMamba-Bound: A Lightweight Mamba-based Model with Boundary-Aware and Normalized Active Contour Loss for Skin Lesion Segmentation

SC-MambaFew: Few-Shot Learning based on Mamba and Selective Spatial-Channel Attention for Bearing Fault Diagnosis

GLAC-Unet: Global- Local Active Contour Loss with An Efficient U-shaped Architecture for Multiclass Medical Image Segmentation

Multi-level Few-Shot Model with Selective Aggregation Feature for Bearing Fault Diagnosis under Limited Data Condition

CapNet: An Automatic Attention-based with Mixer Model for Cardiovascular Magnetic Resonance Image Segmentation

CMC-Net: A New Transformer-based Architecture for Polyp Segmentation

CellFormer: A DaViT Transformer-based method for Nuclei Segmentation

MixerFormer-CovaMnet: A New Few-shot Learning Model for Bearing Fault Diagnosis

PyBoFormer: Pyramid Selected Boundary Transformer for Polyp Segmentation

A CNN-Transformer-based Approach for Medical Image Segmentation

A Deep Learning Approach based on MLP-mixer Models for Bearing Fault Diagnosis

CPA-Unet: A Solution for Left Ventricle Segmentation from Magnetic Resonance Images,

1M parameters are enough? A lightweight CNN-based model for medical image segmentation

An Encoder-Decoder Double Skip Connection Scheme for Skin Lesion Segmentation

A New ConvMixer-based Approach for Diagnosis of Fault Bearing using Signal Spectrum

AMG-Mixer: A Multi-Axis Attention MLP-Mixer Architecture for Biomedical Image Segmentation

A Multi Context Decoder-based Network with Applications for Polyp Segmentation in Colonoscopy Images

Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Distance Metric Learning from Multiscale Features

An EfficientNet-encoder U-Net Joint Residual Refinement Module with Tversky-Kahneman Baroni–Urbani–Buser Loss for Biomedical Image Segmentation

A remote PPG based approach for heart rate estimation

Phát triển hàm mất mát cho mạng TransUnet trong phân vùng ảnh MRI khối u não

Local Image Fitting based Active Contour loss with Deep learning for Nuclei segmentation

Brain tumor segmentation based on U-net with image driven level set loss,

Deep Learning based Approach for Diagnosis of COVID-19 Patients from CT Lung Images

Phân vùng tổn thương da từ ảnh soi da bằng mô hình SegUnet

Axial Attention MLP-Mixer: A New Architecture for Image Segmentation

U-shape-based architecture with Adjusted Bilateral Guided Aggregation Layer for nuclei image segmentation

DR-Unet: Rethinking the ResUnet++ Architecture with Dual ResPath Skip Connection for Nuclei Segmentation

A Modified FCN-Based Method for Left Ventricle Endocardium and Epicardium Segmentation with New Block Modules

Fully Convolutional Neural Network with Attention Gate and Fuzzy Active Contour Model for Skin Lesion Segmentation

A Deep Learning-based Approach with Image-driven Active Contour Loss for Medical Image Segmentation

A Semisupervised Deep Learning-based Approach with Multiphase Active Contour Loss for Left Ventricle Segmentation from CMR Images

Deep Learning based COVID-19 Diagnosis by Joint Classification and Segmentation

Attention U-Net with Active Contour based Hybrid Loss for Brain Tumor Segmentation

Refining Skip Connections by Fusing Multi-scaled Context in Neural Network for Cardiac MR Image Segmentation

An Automatic Approach for Estimation of CPR Signal using Thoracic Impedance

EAR-UNet: A Deep Learning-based Approach for Segmentation of Tympanic Membranes from Otoscopic Images

Skin Lesion Segmentation based on Integrating EfficientNet and Residual block into U-Net Neural Network

Segmentation of Left Ventricle in Short-Axis MR Images Based on Fully Convolutional Network and Active Contour Model

Tympanic Membrane Segmentation in Otoscopic Images based on Fully Convolutional Network with Active Contour Loss

Evolution of Local to Global Minimum Torque Ripples of Direct Torque Control for Induction Motor Drives

Skin Lesion Segmentation Based on Modification of SegNet Neural Networks

Myocardium Segmentation Based on Combining Fully Convolutional Network and Graph cut

Predicting Ventricular Tachyarrhythmia in Patients with Systolic Heart Failure based on Texture Features of the Gray Zone from Contrast-Enhanced Magnetic Resonance Imaging

Probing age-related changes in cardio-respiratory dynamics by multimodal coupling assessment

A Variational Mode Decomposition based Approach for Cardiopulmonary Resuscitation Estimation and Assessment

A variational mode decomposition-based approach for Heart rate monitoring using wrist-type Photoplethysmographic Signals during intensive Physical Exercise

An Adaptive Filtering based Approach for Cardiopulmonary Resuscitation Quality Assessment

Method and System of Obstructed Area Determination for Sleep Apnea Syndrome

System and Method for an Otitis Media Database Constructing and an Image Analyzing

Bed set for inhibition obstructive sleep apnea

Bed Set for Diagnosis and Treatment of Obstructive Sleep Apnea

System and Method for an Otitis Media Database Constructing and an Image Analyzing

A Hybrid Active Contour Model for Intensity Inhomogeneity Image Segmentation

Active Contour with Selective Local or Global Segmentation for Intensity Inhomogeneous Image

Region-aided Geodesic Active Contour Model for Image Segmentation

Global Minimum Torque Ripple Design for Direct Torque Control of Induction Motor

Fuzzy Distribution Fitting Energy-based Active Contours for Image Segmentation

Global and Local Fuzzy Energy-based Active Contours for Image Segmentation

Unsupervised Active Contours Driven by Density Distance and Local Fitting Energy with Applications to Medical Image Segmentation

Moment-based Alignment for Shape Prior with Variational B-Spline Level Set

Zernike Moment and Local Distribution Fuzzy Energy based Active Contours for Image Segmentation,

Synchronized imaging and acoustic analysis of the upper airway in patients with sleep-disordered breathing,

Image Segmentation using Fuzzy Energy-based Active Contour with Shape Prior

Acoustic-integrated Dynamic MR Imaging for a Patient with Obstructive Sleep Apnea

Endocardial Remodeling in Heart Failure Patients with Impaired and Preserved Left Ventricular Systolic Function-A Magnetic Resonance Image Study

A new approach to sparse decomposition of nonstationary signals with multiple scale structures using self-consistent nonlinear waves

Development of an Automatic Diagnostic Algorithm for Pediatric Otitis Media

Active contour model and nonlinear shape priors with application to left ventricle segmentation in cardiac MR images

Multiphase B-Spline Level Set and Incremental Shape Priors with Applications to Segmentation and Tracking of Left Ventricle in Cardiac MR Images

Empirical Mode Decomposition and Monogenic Signal based Approach for Quantification of Myocardial Infarction from MR Images

Shape Collaborative Representation with Fuzzy Energy based Active Contour Model

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Nghiên cứu phát triển các mô hình học sâu cho phân vùng ảnh y tế

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