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08/28/2023
A Comprehensive Overview of Backdoor Attacks in Large Language Models within Communication Networks
The Large Language Models (LLMs) are poised to offer efficient and intel...
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06/07/2023
Extracting Cloud-based Model with Prior Knowledge
Machine Learning-as-a-Service, a pay-as-you-go business pattern, is wide...
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05/11/2023
SigRec: Automatic Recovery of Function Signatures in Smart Contracts
Millions of smart contracts have been deployed onto Ethereum for providi...
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01/17/2023
Quantified Canine: Inferring Dog Personality From Wearables
Being able to assess dog personality can be used to, for example, match ...
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12/16/2022
Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging
In this work, we propose a novel image reconstruction framework that dir...
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12/03/2022
Efficiency Boosting of Secure Cross-platform Recommender Systems over Sparse Data
Fueled by its successful commercialization, the recommender system (RS) ...
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10/16/2022
STAR: Zero-Shot Chinese Character Recognition with Stroke- and Radical-Level Decompositions
Zero-shot Chinese character recognition has attracted rising attention i...
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10/16/2022
New Secure Sparse Inner Product with Applications to Machine Learning
Sparse inner product (SIP) has the attractive property of overhead being...
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10/16/2022
VerifyML: Obliviously Checking Model Fairness Resilient to Malicious Model Holder
In this paper, we present VerifyML, the first secure inference framework...
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08/07/2022
Adaptive Local Implicit Image Function for Arbitrary-scale Super-resolution
Image representation is critical for many visual tasks. Instead of repre...
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07/11/2022
SIMC 2.0: Improved Secure ML Inference Against Malicious Clients
In this paper, we study the problem of secure ML inference against a mal...
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07/11/2022
Hercules: Boosting the Performance of Privacy-preserving Federated Learning
In this paper, we address the problem of privacy-preserving federated ne...
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07/11/2022
Privacy-preserving Decentralized Deep Learning with Multiparty Homomorphic Encryption
Decentralized deep learning plays a key role in collaborative model trai...
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07/07/2022
What Makes for Automatic Reconstruction of Pulmonary Segments
3D reconstruction of pulmonary segments plays an important role in surgi...
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07/02/2022
Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach
Medical image synthesis has attracted increasing attention because it co...
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05/17/2022
blob loss: instance imbalance aware loss functions for semantic segmentation
Deep convolutional neural networks have proven to be remarkably effectiv...
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03/19/2022
Relationformer: A Unified Framework for Image-to-Graph Generation
A comprehensive representation of an image requires understanding object...
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02/14/2022
CodeGen-Test: An Automatic Code Generation Model Integrating Program Test Information
Automatic code generation is to generate the program code according to t...
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09/13/2021
ComFeel: Productivity is a Matter of the Senses Too
Indoor environmental quality has been found to impact employees' product...
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04/22/2021
METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy
Novel multimodal imaging methods are capable of generating extensive, su...
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03/10/2021
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient
In this study, we explore quantitative correlates of qualitative human e...
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03/06/2021
Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations
Radiomic representations can quantify properties of regions of interest ...
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01/05/2021
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation
Multi-modal medical image segmentation plays an essential role in clinic...
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10/27/2020
Micro-CT Synthesis and Inner Ear Super Resolution via Bayesian Generative Adversarial Networks
Existing medical image super-resolution methods rely on pairs of low- an...
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08/08/2020
Complex Grey Matter Structure Segmentation in Brains via Deep Learning: Example of the Claustrum
Segmentationand parcellation of the brain has been widely performed on b...
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08/03/2020
Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation
Tackling domain shifts in multi-centre and multi-vendor data sets remain...
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04/22/2020
Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective
Exploiting learning algorithms under scarce data regimes is a limitation...
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01/25/2020
e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation
Domain adaptation in healthcare data is a potentially critical component...
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12/12/2019
Fast non-convex low-rank matrix decomposition for separation of potential field data using minimal memory
A fast non-convex low-rank matrix decomposition method for potential fie...
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09/21/2019
Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks
Early diagnosis of pathological invasiveness of pulmonary adenocarcinoma...
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08/25/2019
Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation
Analysis and modeling of the ventricles and myocardium are important in ...
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08/05/2019
Restricted Linearized Augmented Lagrangian Method for Euler's Elastica Model
Euler's elastica model has been extensively studied and applied to image...
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07/01/2019
Cross-view Relation Networks for Mammogram Mass Detection
Mammogram is the most effective imaging modality for the mass lesion det...
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04/29/2019
DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis
Recent studies on medical image synthesis reported promising results usi...
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04/01/2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Quantification of cerebral white matter hyperintensities (WMH) of presum...
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12/18/2018
Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images
Early diagnosis of pulmonary nodules (PNs) can improve the survival rate...
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11/10/2018
Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net
Brain image segmentation is used for visualizing and quantifying anatomi...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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10/22/2018
Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function
For many segmentation tasks, especially for the biomedical image, the to...
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07/13/2018
Multi-Scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation
Segmentation of both large and small white matter hyperintensities/lesio...
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06/04/2018
Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks
The lethal nature of pancreatic ductal adenocarcinoma (PDAC) calls for e...
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02/14/2018
Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images
White matter hyperintensities (WMH) are commonly found in the brains of ...
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02/03/2015
Cheaper and Better: Selecting Good Workers for Crowdsourcing
Crowdsourcing provides a popular paradigm for data collection at scale. ...
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11/15/2014
Error Rate Bounds and Iterative Weighted Majority Voting for Crowdsourcing
Crowdsourcing has become an effective and popular tool for human-powered...
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07/10/2013
