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09/20/2023
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation
Echocardiogram video segmentation plays an important role in cardiac dis...
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09/20/2023
GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation
Cardiac structure segmentation from echocardiogram videos plays a crucia...
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09/07/2023
BNS-Net: A Dual-channel Sarcasm Detection Method Considering Behavior-level and Sentence-level Conflicts
Sarcasm detection is a binary classification task that aims to determine...
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06/23/2023
How to Efficiently Adapt Large Segmentation Model(SAM) to Medical Images
The emerging scale segmentation model, Segment Anything (SAM), exhibits ...
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05/31/2023
Additional Positive Enables Better Representation Learning for Medical Images
This paper presents a new way to identify additional positive pairs for ...
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05/09/2023
TinyML Design Contest for Life-Threatening Ventricular Arrhythmia Detection
The first ACM/IEEE TinyML Design Contest (TDC) held at the 41st Internat...
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02/25/2023
SATBA: An Invisible Backdoor Attack Based On Spatial Attention
As a new realm of AI security, backdoor attack has drew growing attentio...
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11/03/2022
ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images
Cardiovascular disease (CVD) accounts for about half of non-communicable...
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10/27/2022
Unsupervised Knowledge Graph Construction and Event-centric Knowledge Infusion for Scientific NLI
With the advance of natural language inference (NLI), a rising demand fo...
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07/03/2022
Sub-cluster-aware Network for Few-shot Skin Disease Classification
This paper studies the few-shot skin disease classification problem. Bas...
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06/08/2022
RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation
Accurately segmenting temporal frames of cine magnetic resonance imaging...
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03/04/2022
FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis
Many works have shown that deep learning-based medical image classificat...
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10/23/2021
"One-Shot" Reduction of Additive Artifacts in Medical Images
Medical images may contain various types of artifacts with different pat...
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10/14/2021
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels
Tissue-level semantic segmentation is a vital step in computational path...
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09/15/2021
Semi-supervised Contrastive Learning for Label-efficient Medical Image Segmentation
The success of deep learning methods in medical image segmentation tasks...
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09/14/2021
Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography
Automatic myocardial segmentation of contrast echocardiography has shown...
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09/01/2021
ImageTBAD: A 3D Computed Tomography Angiography Image Dataset for Automatic Segmentation of Type-B Aortic Dissection
Type-B Aortic Dissection (TBAD) is one of the most serious cardiovascula...
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06/29/2021
Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography
Most existing deep learning-based frameworks for image segmentation assu...
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06/16/2021
Positional Contrastive Learning for Volumetric Medical Image Segmentation
The success of deep learning heavily depends on the availability of larg...
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05/18/2021
EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis
Patent foramen ovale (PFO) is a potential separation between the septum,...
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04/06/2021
Pyramid U-Net for Retinal Vessel Segmentation
Retinal blood vessel can assist doctors in diagnosis of eye-related dise...
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01/30/2021
ObjectAug: Object-level Data Augmentation for Semantic Image Segmentation
Semantic image segmentation aims to obtain object labels with precise bo...
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01/26/2021
ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease
Congenital heart disease (CHD) is the most common type of birth defect, ...
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12/29/2020
Myocardial Segmentation of Cardiac MRI Sequences with Temporal Consistency for Coronary Artery Disease Diagnosis
Coronary artery disease (CAD) is the most common cause of death globally...
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12/16/2020
C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer
Human video motion transfer (HVMT) aims to synthesize videos that one pe...
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12/08/2020
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation
Weakly-supervised learning has attracted growing research attention on m...
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11/04/2020
Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective
Deep learning had already demonstrated its power in medical images, incl...
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08/24/2020
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation
Unsupervised domain adaptation without consuming annotation process for ...
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08/17/2020
Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation
Real-time cardiac magnetic resonance imaging (MRI) plays an increasingly...
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07/18/2020
ICA-UNet: ICA Inspired Statistical UNet for Real-time 3D Cardiac Cine MRI Segmentation
Real-time cine magnetic resonance imaging (MRI) plays an increasingly im...
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07/14/2020
BUNET: Blind Medical Image Segmentation Based on Secure UNET
The strict security requirements placed on medical records by various pr...
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06/27/2020
Evolving Metric Learning for Incremental and Decremental Features
Online metric learning has been widely exploited for large-scale data cl...
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04/24/2020
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation
Unsupervised domain adaptation has attracted growing research attention ...
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02/21/2020
Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia
We found that the real time reverse transcription-polymerase chain react...
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11/25/2019
GAC-GAN: A General Method for Appearance-Controllable Human Video Motion Transfer
Human video motion transfer has a wide range of applications in multimed...
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11/05/2019
ColluEagle: Collusive review spammer detection using Markov random fields
Product reviews are extremely valuable for online shoppers in providing ...
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11/03/2019
MRNN: A Multi-Resolution Neural Network with Duplex Attention for Document Retrieval in the Context of Question Answering
The primary goal of ad-hoc retrieval (document retrieval in the context ...
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10/31/2019
On Neural Architecture Search for Resource-Constrained Hardware Platforms
In the recent past, the success of Neural Architecture Search (NAS) has ...
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09/15/2019
MSU-Net: Multiscale Statistical U-Net for Real-time 3D Cardiac MRI Video Segmentation
Cardiac magnetic resonance imaging (MRI) is an essential tool for MRI-gu...
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07/06/2019
Accurate Congenital Heart Disease ModelGeneration for 3D Printing
3D printing has been widely adopted for clinical decision making and int...
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07/06/2019
Accurate Congenital Heart Disease Model Generation for 3D Printing
3D printing has been widely adopted for clinical decision making and int...
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04/15/2019
Exploiting Computation Power of Blockchain for Biomedical Image Segmentation
Biomedical image segmentation based on Deep neuralnetwork (DNN) is a pro...
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04/09/2019
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds
Cloud based medical image analysis has become popular recently due to th...
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03/15/2019
SCNN: A General Distribution based Statistical Convolutional Neural Network with Application to Video Object Detection
Various convolutional neural networks (CNNs) were developed recently tha...
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03/05/2019
On the Quantization of Cellular Neural Networks for Cyber-Physical Systems
Cyber-Physical Systems (CPSs) have been pervasive including smart grid, ...
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02/02/2019
A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases
Deep language models learning a hierarchical representation proved to be...
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12/02/2018
MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation
Radiologist is "doctor's doctor", biomedical image segmentation plays a ...
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10/24/2018
Text Embeddings for Retrieval From a Large Knowledge Base
Text embedding representing natural language documents in a semantic vec...
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09/01/2018
DAC-SDC Low Power Object Detection Challenge for UAV Applications
The 55th Design Automation Conference (DAC) held its first System Design...
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03/13/2018