b'S. Kevin Zhou'

Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration

Multimodal image registration has many applications in diagnostic medica...
04/14/2021 ∙ by Bo Zhou, et al. ∙ 0 ∙ share

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Conditional Training with Bounding Map for Universal Lesion Detection

Universal Lesion Detection (ULD) in computed tomography plays an essenti...
03/23/2021 ∙ by Han Li, et al. ∙ 0 ∙ share

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Generalizable Limited-Angle CT Reconstruction via Sinogram Extrapolation

Computed tomography (CT) reconstruction from X-ray projections acquired ...
03/09/2021 ∙ by Ce Wang, et al. ∙ 0 ∙ share

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Universal Undersampled MRI Reconstruction

Deep neural networks have been extensively studied for undersampled MRI ...
03/09/2021 ∙ by Xinwen Liu, et al. ∙ 0 ∙ share

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You Only Learn Once: Universal Anatomical Landmark Detection

Detecting anatomical landmarks in medical images plays an essential role...
03/08/2021 ∙ by Heqin Zhu, et al. ∙ 0 ∙ share

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U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction

Recently, both supervised and unsupervised deep learning methods have be...
03/08/2021 ∙ by Yuanyuan Lyu, et al. ∙ 0 ∙ share

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One-Shot Medical Landmark Detection

The success of deep learning methods relies on the availability of a lar...
03/08/2021 ∙ by Qingsong Yao, et al. ∙ 0 ∙ share

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Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets

There exists a large number of datasets for organ segmentation, which ar...
03/08/2021 ∙ by Pengbo Liu, et al. ∙ 0 ∙ share

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Deep reinforcement learning in medical imaging: A literature review

Deep reinforcement learning (DRL) augments the reinforcement learning fr...
03/05/2021 ∙ by S. Kevin Zhou, et al. ∙ 68 ∙ share

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A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks

Deep neural networks (DNNs) for medical images are extremely vulnerable ...
12/17/2020 ∙ by Qingsong Yao, et al. ∙ 0 ∙ share

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CT Film Recovery via Disentangling Geometric Deformation and Illumination Variation: Simulated Datasets and Deep Models

While medical images such as computed tomography (CT) are stored in DICO...
12/17/2020 ∙ by Quan Quan, et al. ∙ 0 ∙ share

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Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models

Purpose: Pelvic bone segmentation in CT has always been an essential ste...
12/16/2020 ∙ by Pengbo Liu, et al. ∙ 31 ∙ share

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Aggregative Self-Supervised Feature Learning

Self-supervised learning (SSL) is an efficient approach that addresses t...
12/14/2020 ∙ by Jiuwen Zhu, et al. ∙ 0 ∙ share

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Label-Free Segmentation of COVID-19 Lesions in Lung CT

Scarcity of annotated images hampers the building of automated solution ...
09/08/2020 ∙ by Qingsong Yao, et al. ∙ 18 ∙ share

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Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency

Limited view tomographic reconstruction aims to reconstruct a tomographi...
09/03/2020 ∙ by Bo Zhou, et al. ∙ 0 ∙ share

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Bounding Maps for Universal Lesion Detection

Universal Lesion Detection (ULD) in computed tomography plays an essenti...
07/18/2020 ∙ by Han Li, et al. ∙ 0 ∙ share

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Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection

Recent methods in multiple landmark detection based on deep convolutiona...
07/10/2020 ∙ by Qingsong Yao, et al. ∙ 0 ∙ share

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Marginal loss and exclusion loss for partially supervised multi-organ segmentation

Annotating multiple organs in medical images is both costly and time-con...
07/08/2020 ∙ by Gonglei Shi, et al. ∙ 16 ∙ share

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Embedding Task Knowledge into 3D Neural Networks via Self-supervised Learning

Deep learning highly relies on the amount of annotated data. However, an...
06/10/2020 ∙ by Jiuwen Zhu, et al. ∙ 0 ∙ share

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Human Recognition Using Face in Computed Tomography

With the mushrooming use of computed tomography (CT) images in clinical ...
05/28/2020 ∙ by Jiuwen Zhu, et al. ∙ 5 ∙ share

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DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior

MRI with multiple protocols is commonly used for diagnosis, but it suffe...
01/11/2020 ∙ by Bo Zhou, et al. ∙ 24 ∙ share

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First image then video: A two-stage network for spatiotemporal video denoising

Video denoising is to remove noise from noise-corrupted data, thus recov...
01/02/2020 ∙ by Ce Wang, et al. ∙ 12 ∙ share

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DuDoNet++: Encoding mask projection to reduce CT metal artifacts

CT metal artifact reduction (MAR) is a notoriously challenging task beca...
01/02/2020 ∙ by Yuanyuan Lyu, et al. ∙ 10 ∙ share

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Joint Unsupervised Learning for the Vertebra Segmentation, Artifact Reduction and Modality Translation of CBCT Images

We investigate the unsupervised learning of the vertebra segmentation, a...
01/02/2020 ∙ by Yuanyuan Lyu, et al. ∙ 19 ∙ share

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Learning a Self-inverse Network for Unpaired Bidirectional Image-to-image Translation

Recently image-to-image translation has attracted significant interests ...
09/09/2019 ∙ by Zengming Shen, et al. ∙ 33 ∙ share

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Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation

The one-to-one mapping is necessary for many bidirectional image-to-imag...
09/09/2019 ∙ by Zengming Shen, et al. ∙ 18 ∙ share

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Towards multi-sequence MR image recovery from undersampled k-space data

Undersampled MR image recovery has been widely studied for accelerated M...
08/15/2019 ∙ by Cheng Peng, et al. ∙ 1 ∙ share

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Deep Slice Interpolation via Marginal Super-Resolution, Fusion and Refinement

We propose a marginal super-resolution (MSR) approach based on 2D convol...
08/15/2019 ∙ by Cheng Peng, et al. ∙ 2 ∙ share

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ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

Current deep neural network based approaches to computed tomography (CT)...
08/03/2019 ∙ by Haofu Liao, et al. ∙ 2 ∙ share

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Generative Mask Pyramid Network forCT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction

A conventional approach to computed tomography (CT) or cone beam CT (CBC...
06/29/2019 ∙ by Haofu Liao, et al. ∙ 3 ∙ share

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Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction

A conventional approach to computed tomography (CT) or cone beam CT (CBC...
06/29/2019 ∙ by Haofu Liao, et al. ∙ 0 ∙ share

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Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

Current deep neural network based approaches to computed tomography (CT)...
06/05/2019 ∙ by Haofu Liao, et al. ∙ 0 ∙ share

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Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation (POINT^2)

We propose to tackle the problem of multiview 2D/3D rigid registration f...
03/10/2019 ∙ by Haofu Liao, et al. ∙ 0 ∙ share

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Face Completion with Semantic Knowledge and Collaborative Adversarial Learning

Unlike a conventional background inpainting approach that infers a missi...
12/08/2018 ∙ by Haofu Liao, et al. ∙ 0 ∙ share

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Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation

Simultaneous segmentation of multiple organs from different medical imag...
05/08/2018 ∙ by Saeid Asgari Taghanaki, et al. ∙ 2 ∙ share

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Select, Attend, and Transfer: Light, Learnable Skip Connections

Skip connections in deep networks have improved both segmentation and cl...
04/14/2018 ∙ by Saeid Asgari Taghanaki, et al. ∙ 0 ∙ share

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3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes

While deep convolutional neural networks (CNN) have been successfully ap...
11/23/2017 ∙ by Siqi Liu, et al. ∙ 0 ∙ share

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Automatic Liver Segmentation Using an Adversarial Image-to-Image Network

Automatic liver segmentation in 3D medical images is essential in many c...
07/25/2017 ∙ by Dong Yang, et al. ∙ 0 ∙ share

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Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization

Automatic localization and labeling of vertebra in 3D medical images pla...
05/17/2017 ∙ by Dong Yang, et al. ∙ 0 ∙ share

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Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images

Accurate detection and segmentation of anatomical structures from ultras...
07/07/2016 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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S. Kevin Zhou

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