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NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection
In recent studies, Lots of work has been done to solve time series anoma...
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Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays
Exploiting available medical records to train high performance computer-...
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Image Inpainting Guided by Coherence Priors of Semantics and Textures
Existing inpainting methods have achieved promising performance in recov...
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Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-constrained Optimization
Accurate vertebra localization and identification are required in many c...
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Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach
Using radiological scans to identify liver tumors is crucial for proper ...
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Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies
Monitoring treatment response in longitudinal studies plays an important...
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3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management
The pancreatic disease taxonomy includes ten types of masses (tumors or ...
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A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation
Object detection methods are widely adopted for computer-aided diagnosis...
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EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture
In this work, we address the Text-to-Speech (TTS) task by proposing a no...
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Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images
Radiological images such as computed tomography (CT) and X-rays render a...
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MelGlow: Efficient Waveform Generative Network Based on Location-Variable Convolution
Recent neural vocoders usually use a WaveNet-like network to capture the...
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GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis
This paper introduces a graphical representation approach of prosody bou...
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Contour Transformer Network for One-shot Segmentation of Anatomical Structures
Accurate segmentation of anatomical structures is vital for medical imag...
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End-to-end Silent Speech Recognition with Acoustic Sensing
Silent speech interfaces (SSI) has been an exciting area of recent inter...
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Semantic SLAM with Autonomous Object-Level Data Association
It is often desirable to capture and map semantic information of an envi...
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CASS-NAT: CTC Alignment-based Single Step Non-autoregressive Transformer for Speech Recognition
We propose a CTC alignment-based single step non-autoregressive transfor...
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Residual Recurrent CRNN for End-to-End Optical Music Recognition on Monophonic Scores
Optical Music Recognition is a field that attempts to extract digital in...
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Melody Classification based on Performance Event Vector and BRNN
We proposed a model for the Conference of Music and Technology (CSMT2020...
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FedSmart: An Auto Updating Federated Learning Optimization Mechanism
Federated learning has made an important contribution to data privacy-pr...
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Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT
Large-scale datasets with high-quality labels are desired for training a...
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User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation
Mask-based annotation of medical images, especially for 3D data, is a bo...
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Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D Convolution and Surface Point Regression
Identifying, measuring and reporting lesions accurately and comprehensiv...
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Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network
Determining the spread of GTV_LN is essential in defining the respective...
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Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy
Finding, identifying and segmenting suspicious cancer metastasized lymph...
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DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer...
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Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans
Accurate and automated tumor segmentation is highly desired since it has...
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A Real-time Robot-based Auxiliary System for Risk Evaluation of COVID-19 Infection
In this paper, we propose a real-time robot-based auxiliary system for r...
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Evolutionary Algorithm Enhanced Neural Architecture Search for Text-Independent Speaker Verification
State-of-the-art speaker verification models are based on deep learning ...
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Large-scale Transfer Learning for Low-resource Spoken Language Understanding
End-to-end Spoken Language Understanding (SLU) models are made increasin...
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Prosody Learning Mechanism for Speech Synthesis System Without Text Length Limit
Recent neural speech synthesis systems have gradually focused on the con...
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MLNET: An Adaptive Multiple Receptive-field Attention Neural Network for Voice Activity Detection
Voice activity detection (VAD) makes a distinction between speech and no...
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DREAM: A Dynamic Relational-Aware Model for Social Recommendation
Social connections play a vital role in improving the performance of rec...
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Reliable Liver Fibrosis Assessment from Ultrasound using Global Hetero-Image Fusion and View-Specific Parameterization
Ultrasound (US) is a critical modality for diagnosing liver fibrosis. Un...
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UBER-GNN: A User-Based Embeddings Recommendation based on Graph Neural Networks
The problem of session-based recommendation aims to predict user next ac...
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A Heterogeneous Information Network based Cross Domain Insurance Recommendation System for Cold Start Users
Internet is changing the world, adapting to the trend of internet sales ...
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DCDIR: A Deep Cross-Domain Recommendation System for Cold Start Users in Insurance Domain
Internet insurance products are apparently different from traditional e-...
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One Click Lesion RECIST Measurement and Segmentation on CT Scans
In clinical trials, one of the radiologists' routine work is to measure ...
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E^2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans
Developing an effective liver and liver tumor segmentation model from CT...
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Learning to Segment Anatomical Structures Accurately from One Exemplar
Accurate segmentation of critical anatomical structures is at the core o...
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Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images
Visual cues of enforcing bilaterally symmetric anatomies as normal findi...
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Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning
Effective and non-invasive radiological imaging based tumor/lesion chara...
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Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets
Lesion detection is an important problem within medical imaging analysis...
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Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification
Finding and identifying scatteredly-distributed, small, and critically i...
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Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation
In medical imaging, organ/pathology segmentation models trained on curre...
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Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search
OAR segmentation is a critical step in radiotherapy of head and neck (H ...
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Structured Landmark Detection via Topology-Adapting Deep Graph Learning
Image landmark detection aims to automatically identify the locations of...
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BS-NAS: Broadening-and-Shrinking One-Shot NAS with Searchable Numbers of Channels
One-Shot methods have evolved into one of the most popular methods in Ne...
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Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes
Completing a corrupted image with correct structures and reasonable text...
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A Robust Speaker Clustering Method Based on Discrete Tied Variational Autoencoder
Recently, the speaker clustering model based on aggregation hierarchy cl...
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AlignTTS: Efficient Feed-Forward Text-to-Speech System without Explicit Alignment
Targeting at both high efficiency and performance, we propose AlignTTS t...
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