ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation

Cross Attention Multi Scale CNN-Transformer Hybrid Encoder Is General Medical Image Learner

LATrans-Unet: Improving CNN-Transformer with Location Adaptive for Medical Image Segmentation

ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation

DAMS-Net: Dual attention and multi-scale information fusion network for 12-lead ECG classification

ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embedding

ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embedding

COARSE-TO-FINE COVID-19 SEGMENTATION VIA VISION-LANGUAGE ALIGNMENT

A Distance Transformation Deep Forest Framework With Hybrid-Feature Fusion for CXR Image Classification

LViT: Language meets Vision Transformer in Medical Image Segmentation

MEA-TransUNet: A Multiple External Attention Network for Multi-Organ Segmentation

Long short-distance topology modelling of 3D point cloud segmentation with a graph convolution neural network

MRDFF: A deep forest based framework for CT whole heart segmentation

Nomogram to Predict Recurrence and Guide a Pragmatic Surveillance Strategy After Resection of Hepatoid Adenocarcinoma of the Stomach: A Retrospective Multicenter Study

TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation

Transfer learning for medical images analyses: A survey

UGAN: Semi-supervised Medical Image Segmentation Using Generative Adversarial Network

TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation

A direct slicing technique for the 3D printing of implicitly represented medical models

An Improved Random Forest Classifier for Imbalanced Learning

Image-Based Automatic Watermeter Reading under Challenging Environments

A Deep Segmentation Network of Multi-Scale Feature Fusion Based on Attention Mechanism for IVOCT Lumen Contour

A Multi-Resolution Deep Forest Framework with Hybrid Feature Fusion for CT Whole Heart Segmentation

The design of error-correcting output codes algorithm for the open-set recognition

The design of soft recoding-based strategies for improving error-correcting output codes

Local k-NNs pattern in Omni-Direction graph convolution neural network for 3D point clouds

High-quality vascular modeling and modification with implicit extrusion surfaces for blood flow computations

Efficient ResNet Model to Predict Protein-Protein Interactions With GPU Computing

An improved deep forest for alleviating the data imbalance problem

Imprecise Deep Forest for Partial Label Learning

A novel ECOC algorithm for multiclass microarray data classification based on data complexity analysis

Frontier knowledge discovery and visualization in cancer field based on KOS and LDA

High Precision Implicit Modeling for Patient-Specific Coronary Arteries

Microarray Data Classification Based on Computational Verb

Vascular Model Editing for 3D Printing Based on Implicit Functions

Skeleton Marching-based Parallel Vascular Geometry Reconstruction Using Implicit Functions

Towards additive manufacturing oriented geometric modeling using implicit functions

A hybrid collaborative filtering algorithm based on KNN and gradient boosting

Skeleton marching: A high-performance parallel vascular geometry reconstruction technique

Real-time eye-gaze based interaction for human intention prediction and emotion analysis

Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions

Graph-Based Collaborative Filtering with MLP

Deep Face Model Compression Using Entropy-Based Filter Selection

Multiclass Microarray Data Classification Based on SA-ECOC

An ECOC Approach for Microarray Data Classification Based on Minimizing Feature Related Complexities

Genetic Programming Based ECOC for Multiclass Microarray Data Classification

An implicit skeleton-based method for the geometry reconstruction of vasculatures

The research and application of reservoir identification model based on Smap-ED

Implicit vascular reconstruction using the shape-presenting blending operation

Topic evolution based on LDA and HMM and its application in stem cell research

3D vasculature segmentation using localized hybrid level-set method

GPU Accelerating Technique for Rendering Implicitly Represented Vasculatures

A survey on the visualization and reconstruction of vasculatures

Design and implementation of the virtual experiment system

The extraction of vascular axis based on signed distance function

Bursty topic detection based on K-states automaton model: An emerging trend in cancer field

Segmentation of Vessel Images using a Localized Hybrid Level-set Method

A Skeleton-based Technique for Modelling Implicit Surfaces