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09/11/2023
Phase-Specific Augmented Reality Guidance for Microscopic Cataract Surgery Using Long-Short Spatiotemporal Aggregation Transformer
Phacoemulsification cataract surgery (PCS) is a routine procedure conduc...
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08/10/2023
𝒢^2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns
Node classification is the task of predicting the labels of unlabeled no...
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06/19/2023
Practical and General Backdoor Attacks against Vertical Federated Learning
Federated learning (FL), which aims to facilitate data collaboration acr...
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11/15/2022
A Survey for Efficient Open Domain Question Answering
Open domain question answering (ODQA) is a longstanding task aimed at an...
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10/11/2022
Tight Error Bounds for Nonnegative Orthogonality Constraints and Exact Penalties
For the intersection of the Stiefel manifold and the set of nonnegative ...
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08/21/2022
Semantic-enhanced Image Clustering
Image clustering is an important, and open challenge task in computer vi...
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07/03/2022
PrUE: Distilling Knowledge from Sparse Teacher Networks
Although deep neural networks have enjoyed remarkable success across a w...
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06/16/2022
Identifying Electrocardiogram Abnormalities Using a Handcrafted-Rule-Enhanced Neural Network
A large number of people suffer from life-threatening cardiac abnormalit...
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06/09/2022
CLTS+: A New Chinese Long Text Summarization Dataset with Abstractive Summaries
The abstractive methods lack of creative ability is particularly a probl...
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05/11/2022
An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity
The leaky ReLU network with a group sparse regularization term has been ...
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03/17/2022
Deep Unsupervised Hashing with Latent Semantic Components
Deep unsupervised hashing has been appreciated in the regime of image re...
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08/16/2021
Deep Self-Adaptive Hashing for Image Retrieval
Hashing technology has been widely used in image retrieval due to its co...
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08/15/2021
Efficient Byzantine-Resilient Stochastic Gradient Desce
Distributed Learning often suffers from Byzantine failures, and there ha...
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04/09/2021
A Riemannian smoothing steepest descent method for non-Lipschitz optimization on submanifolds
In this paper, we propose a Riemannian smoothing steepest descent method...
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10/26/2020
A Distributed Training Algorithm of Generative Adversarial Networks with Quantized Gradients
Training generative adversarial networks (GAN) in a distributed fashion ...
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07/23/2020
A weakly supervised registration-based framework for prostate segmentation via the combination of statistical shape model and CNN
Precise determination of target is an essential procedure in prostate in...
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04/14/2020
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text
Chinese word segmentation is necessary to provide word-level information...
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12/24/2019
Improving Abstractive Text Summarization with History Aggregation
Recent neural sequence to sequence models have provided feasible solutio...
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07/01/2019
The Constrained L_p-L_q Basis Pursuit Denoising Problem
In this paper, we consider the constrained L_p-L_q basis pursuit denoisi...
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01/16/2019
Exploring Communities in Large Profiled Graphs
Given a graph G and a vertex q∈ G, the community search (CS) problem aim...
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09/25/2018
TTMF: A Triple Trustworthiness Measurement Frame for Knowledge Graphs
The Knowledge graph (KG) uses the triples to describe the facts in the r...
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09/25/2018
Supervised Neural Models Revitalize the Open Relation Extraction
Open relation extraction (ORE) remains a challenge to obtain a semantic ...
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05/11/2018
Clinical evaluation of semi-automatic opensource algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action
Computer assisted technologies based on algorithmic software segmentatio...
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03/12/2018
In-depth Assessment of an Interactive Graph-based Approach for the Segmentation for Pancreatic Metastasis in Ultrasound Acquisitions of the Liver with two Specialists in Intern
The manual outlining of hepatic metastasis in (US) ultrasound acquisitio...
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12/25/2017
Leveraging Long and Short-term Information in Content-aware Movie Recommendation
Movie recommendation systems provide users with ranked lists of movies b...
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11/13/2017
Vertebral body segmentation with GrowCut: Initial experience, workflow and practical application
In this contribution, we used the GrowCut segmentation algorithm publicl...
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08/17/2017
Computer-aided position planning of miniplates to treat facial bone defects
In this contribution, a software system for computer-aided position plan...
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06/23/2017
Computer-aided implant design for the restoration of cranial defects
Patient-specific cranial implants are important and necessary in the sur...
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05/18/2017
A Non-monotone Alternating Updating Method for A Class of Matrix Factorization Problems
In this paper we consider a general matrix factorization model which cov...
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04/18/2017
Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images
Ultrasound (US) is the most commonly used liver imaging modality worldwi...
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03/22/2017
HTC Vive MeVisLab integration via OpenVR for medical applications
Virtual Reality, an immersive technology that replicates an environment ...
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03/09/2017
Interactive reconstructions of cranial 3D implants under MeVisLab as an alternative to commercial planning software
In this publication, the interactive planning and reconstruction of cran...
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03/09/2017
Development of a computer-aided design software for dental splint in orthognathic surgery
In the orthognathic surgery, dental splints are important and necessary ...
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03/02/2016
US-Cut: Interactive Algorithm for rapid Detection and Segmentation of Liver Tumors in Ultrasound Acquisitions
Ultrasound (US) is the most commonly used liver imaging modality worldwi...
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02/04/2016
A semi-automatic computer-aided method for surgical template design
This paper presents a generalized integrated framework of semi-automatic...
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12/31/2015
Linear Convergence of Proximal Gradient Algorithm with Extrapolation for a Class of Nonconvex Nonsmooth Minimization Problems
In this paper, we study the proximal gradient algorithm with extrapolati...
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11/24/2015
Generalized Conjugate Gradient Methods for ℓ_1 Regularized Convex Quadratic Programming with Finite Convergence
The conjugate gradient (CG) method is an efficient iterative method for ...
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10/21/2015
