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09/11/2023
Semantic Latent Decomposition with Normalizing Flows for Face Editing
Navigating in the latent space of StyleGAN has shown effectiveness for f...
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08/16/2023
Learning to Distill Global Representation for Sparse-View CT
Sparse-view computed tomography (CT) – using a small number of projectio...
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08/04/2023
Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition
Cross-corpus speech emotion recognition (SER) seeks to generalize the ab...
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08/01/2023
Online Prototype Learning for Online Continual Learning
Online continual learning (CL) studies the problem of learning continuou...
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07/23/2023
ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising
While various deep learning methods have been proposed for low-dose comp...
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07/15/2023
Adaptive Nonlinear Latent Transformation for Conditional Face Editing
Recent works for face editing usually manipulate the latent space of Sty...
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07/12/2023
FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT Reconstruction
Sparse-view computed tomography (CT) is a promising solution for expedit...
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04/23/2023
FAN-Net: Fourier-Based Adaptive Normalization For Cross-Domain Stroke Lesion Segmentation
Since stroke is the main cause of various cerebrovascular diseases, deep...
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04/17/2023
CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction
Lung nodule malignancy prediction has been enhanced by advanced deep-lea...
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04/10/2023
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation
Medical image segmentation is a challenging task with inherent ambiguity...
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04/04/2023
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization
Low-dose computed tomography (CT) images suffer from noise and artifacts...
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03/16/2023
Cross-head Supervision for Crowd Counting with Noisy Annotations
Noisy annotations such as missing annotations and location shifts often ...
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03/13/2023
Twin Contrastive Learning with Noisy Labels
Learning from noisy data is a challenging task that significantly degene...
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02/21/2023
LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and Deblurring
This paper studies 3D low-dose computed tomography (CT) imaging. Althoug...
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01/15/2023
CORE: Learning Consistent Ordinal REpresentations for Image Ordinal Estimation
The goal of image ordinal estimation is to estimate the ordinal label of...
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11/14/2022
Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition
Speech emotion recognition (SER) plays a vital role in improving the int...
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10/21/2022
GaitMAST: Motion-Aware Spatio-Temporal Feature Learning Network for Cross-View Gait Recognition
As a unique biometric that can be perceived at a distance, gait has broa...
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10/17/2022
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark
To minimize the impact of age variation on face recognition, age-invaria...
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07/24/2022
FD-MAR: Fourier Dual-domain Network for CT Metal Artifact Reduction
The presence of high-density objects such as metal implants and dental f...
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05/09/2022
Site Generalization: Stroke Lesion Segmentation on Magnetic Resonance Images from Unseen Sites
There are considerable interests in automatic stroke lesion segmentation...
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05/06/2022
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting
Crowd Counting has important applications in public safety and pandemic ...
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03/29/2022
Synergizing Physics/Model-based and Data-driven Methods for Low-Dose CT
Since 2016, deep learning (DL) has advanced tomographic imaging with rem...
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03/22/2022
Convolutional Neural Network to Restore Low-Dose Digital Breast Tomosynthesis Projections in a Variance Stabilization Domain
Digital breast tomosynthesis (DBT) exams should utilize the lowest possi...
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03/15/2022
Meta Ordinal Regression Forest for Medical Image Classification with Ordinal Labels
The performance of medical image classification has been enhanced by dee...
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11/23/2021
Exploring Non-Contrastive Representation Learning for Deep Clustering
Existing deep clustering methods rely on contrastive learning for repres...
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11/12/2021
Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography
Digital mammography is still the most common imaging tool for breast can...
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08/24/2021
DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising
LDCT has drawn major attention in the medical imaging field due to the p...
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05/15/2021
AgeFlow: Conditional Age Progression and Regression with Normalizing Flows
Age progression and regression aim to synthesize photorealistic appearan...
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03/27/2021
SelfGait: A Spatiotemporal Representation Learning Method for Self-supervised Gait Recognition
Gait recognition plays a vital role in human identification since gait i...
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03/24/2021
MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising
Lowering the radiation dose in computed tomography (CT) can greatly redu...
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03/02/2021
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework
To minimize the effects of age variation in face recognition, previous w...
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02/01/2021
RoutingGAN: Routing Age Progression and Regression with Disentangled Learning
Although impressive results have been achieved for age progression and r...
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01/31/2021
Meta ordinal weighting net for improving lung nodule classification
The progression of lung cancer implies the intrinsic ordinal relationshi...
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12/07/2020
Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules
Deep learning-based methods have achieved promising performance in early...
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12/07/2020
PFA-GAN: Progressive Face Aging with Generative Adversarial Network
Face aging is to render a given face to predict its future appearance, w...
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08/16/2020
Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography
The high risk population of cardiovascular disease (CVD) is simultaneous...
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08/07/2020
Deep Ordinal Regression Forests
Ordinal regression is a type of regression techniques used for predictin...
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07/08/2020
Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction
Deep neural network based methods have achieved promising results for CT...
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06/23/2020
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network
Cine cardiac magnetic resonance imaging (MRI) is widely used for diagnos...
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12/09/2019
Deep Efficient End-to-end Reconstruction (DEER) Network for Low-dose Few-view Breast CT from Projection Data
Breast CT provides image volumes with isotropic resolution in high contr...
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11/13/2019
Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data
X-ray computed tomography (CT) is widely used in clinical practice. The ...
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10/24/2019
Look globally, age locally: Face aging with an attention mechanism
Face aging is of great importance for cross-age recognition and entertai...
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10/13/2019
Parameter Constrained Transfer Learning for Low Dose PET Image Denoising
Positron emission tomography (PET) is widely used in clinical practice. ...
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09/25/2019
Deep-learning-based Breast CT for Radiation Dose Reduction
Cone-beam breast computed tomography (CT) provides true 3D breast images...
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08/05/2019
Multi-Contrast Super-Resolution MRI Through a Progressive Network
Magnetic resonance imaging (MRI) is widely used for screening, diagnosis...
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07/23/2019
Simultaneous reconstruction of the initial pressure and sound speed in photoacoustic tomography using a deep-learning approach
Photoacoustic tomography seeks to reconstruct an acoustic initial pressu...
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07/06/2019
MRI Super-Resolution with Ensemble Learning and Complementary Priors
Magnetic resonance imaging (MRI) is a widely used medical imaging modali...
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07/02/2019
Dual Network Architecture for Few-view CT --Trained on ImageNet Data and Transferred for Medical Imaging
X-ray computed tomography (CT) reconstructs cross-sectional images from ...
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05/27/2019
Ordinal Distribution Regression for Gait-based Age Estimation
Computer vision researchers prefer to estimate the age from face images ...
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01/17/2019
