Search Results for author: Haofu Liao

Found 33 papers, 5 papers with code

REGAS: REspiratory-GAted Synthesis of Views for Multi-Phase CBCT Reconstruction from a single 3D CBCT Acquisition

no code implementations17 Aug 2022 Cheng Peng, Haofu Liao, S. Kevin Zhou, Rama Chellappa

It is a long-standing challenge to reconstruct Cone Beam Computed Tomography (CBCT) of the lung under respiratory motion.

Breast Cancer Induced Bone Osteolysis Prediction Using Temporal Variational Auto-Encoders

no code implementations20 Mar 2022 Wei Xiong, Neil Yeung, Shubo Wang, Haofu Liao, Liyun Wang, Jiebo Luo

Its ability of predicting the development of bone lesions in cancer-invading bones can assist in assessing the risk of impending fractures and choosing proper treatments in breast cancer bone metastasis.

Computed Tomography (CT)

Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries

no code implementations ICCV 2021 Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto

Computer vision applications such as visual relationship detection and human object interaction can be formulated as a composite (structured) set detection problem in which both the parts (subject, object, and predicate) and the sum (triplet as a whole) are to be detected in a hierarchical fashion.

Human-Object Interaction Detection Visual Relationship Detection

XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors

1 code implementation4 Dec 2020 Cheng Peng, Haofu Liao, Gina Wong, Jiebo Luo, Shaohua Kevin Zhou, Rama Chellappa

A radiograph visualizes the internal anatomy of a patient through the use of X-ray, which projects 3D information onto a 2D plane.

3D-Aware Image Synthesis Anatomy +3

A Smartphone-based System for Real-time Early Childhood Caries Diagnosis

no code implementations17 Aug 2020 Yi-Peng Zhang, Haofu Liao, Jin Xiao, Nisreen Al Jallad, Oriana Ly-Mapes, Jiebo Luo

The identification of ECC in an early stage usually requires expertise in the field, and hence is often ignored by parents.

Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification

no code implementations21 Apr 2020 Wei Zhu, Haofu Liao, Wenbin Li, Weijian Li, Jiebo Luo

Inspired by the recent success of Few-Shot Learning (FSL) in natural image classification, we propose to apply FSL to skin disease identification to address the extreme scarcity of training sample problem.

Few-Shot Learning General Classification +2

Unsupervised Learning of Landmarks based on Inter-Intra Subject Consistencies

1 code implementation16 Apr 2020 Weijian Li, Haofu Liao, Shun Miao, Le Lu, Jiebo Luo

To recover from the transformed images back to the original subject, the landmark detector is forced to learn spatial locations that contain the consistent semantic meanings both for the paired intra-subject images and between the paired inter-subject images.

Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography

no code implementations2 Jan 2020 Yuanyuan Lyu, Wei-An Lin, Haofu Liao, Jing-Jing Lu, S. Kevin Zhou

Metal artifact reduction (MAR) in computed tomography (CT) is a notoriously challenging task because the artifacts are structured and non-local in the image domain.

Computed Tomography (CT) Metal Artifact Reduction

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

no code implementations15 Aug 2019 Cheng Peng, Wei-An Lin, Haofu Liao, Rama Chellappa, S. Kevin Zhou

We propose a marginal super-resolution (MSR) approach based on 2D convolutional neural networks (CNNs) for interpolating an anisotropic brain magnetic resonance scan along the highly under-sampled direction, which is assumed to axial without loss of generality.

Semantic Segmentation Super-Resolution

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

2 code implementations3 Aug 2019 Haofu Liao, Wei-An Lin, S. Kevin Zhou, Jiebo Luo

Current deep neural network based approaches to computed tomography (CT) metal artifact reduction (MAR) are supervised methods that rely on synthesized metal artifacts for training.

Computed Tomography (CT) Disentanglement +4

Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment

no code implementations22 Jul 2019 Jianbo Yuan, Haofu Liao, Rui Luo, Jiebo Luo

In addition, in order to enrich the decoder with descriptive semantics and enforce the correctness of the deterministic medical-related contents such as mentions of organs or diagnoses, we extract medical concepts based on the radiology reports in the training data and fine-tune the encoder to extract the most frequent medical concepts from the x-ray images.

Image Captioning Image Classification

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

no code implementations29 Jun 2019 Haofu Liao, Wei-An Lin, Zhimin Huo, Levon Vogelsang, William J. Sehnert, S. Kevin Zhou, Jiebo Luo

A conventional approach to computed tomography (CT) or cone beam CT (CBCT) metal artifact reduction is to replace the X-ray projection data within the metal trace with synthesized data.

Computed Tomography (CT) Metal Artifact Reduction

DuDoNet: Dual Domain Network for CT Metal Artifact Reduction

no code implementations CVPR 2019 Wei-An Lin, Haofu Liao, Cheng Peng, Xiaohang Sun, Jingdan Zhang, Jiebo Luo, Rama Chellappa, Shaohua Kevin Zhou

The linkage between the sigogram and image domains is a novel Radon inversion layer that allows the gradients to back-propagate from the image domain to the sinogram domain during training.

Computed Tomography (CT) Medical Diagnosis +1

Patch Transformer for Multi-tagging Whole Slide Histopathology Images

no code implementations10 Jun 2019 Weijian Li, Viet-Duy Nguyen, Haofu Liao, Matt Wilder, Ke Cheng, Jiebo Luo

Automated whole slide image (WSI) tagging has become a growing demand due to the increasing volume and diversity of WSIs collected nowadays in histopathology.


Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

1 code implementation5 Jun 2019 Haofu Liao, Wei-An Lin, Jianbo Yuan, S. Kevin Zhou, Jiebo Luo

Extensive experiments show that our method significantly outperforms the existing unsupervised models for image-to-image translation problems, and achieves comparable performance to existing supervised models on a synthesized dataset.

Computed Tomography (CT) Disentanglement +3

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

no code implementations10 Mar 2019 Haofu Liao, Wei-An Lin, Jiarui Zhang, Jingdan Zhang, Jiebo Luo, S. Kevin Zhou

As the POI tracker is shift-invariant, $\text{POINT}^2$ is more robust to the initial pose of the 3D pre-intervention image.

Joint Vertebrae Identification and Localization in Spinal CT Images by Combining Short- and Long-Range Contextual Information

no code implementations9 Dec 2018 Haofu Liao, Addisu Mesfin, Jiebo Luo

For the long-range contextual information, we propose a multi-task bidirectional recurrent neural network (Bi-RNN) to encode the spatial and contextual information among the vertebrae of the visible spine column.

Joint Vertebrae Identification And Localization In Spinal Ct Images

Adversarial Sparse-View CBCT Artifact Reduction

no code implementations9 Dec 2018 Haofu Liao, Zhimin Huo, William J. Sehnert, Shaohua Kevin Zhou, Jiebo Luo

We present an effective post-processing method to reduce the artifacts from sparsely reconstructed cone-beam CT (CBCT) images.

Cbct Artifact Reduction

More Knowledge is Better: Cross-Modality Volume Completion and 3D+2D Segmentation for Intracardiac Echocardiography Contouring

no code implementations9 Dec 2018 Haofu Liao, Yucheng Tang, Gareth Funka-Lea, Jiebo Luo, Shaohua Kevin Zhou

Using catheter ablation to treat atrial fibrillation increasingly relies on intracardiac echocardiography (ICE) for an anatomical delineation of the left atrium and the pulmonary veins that enter the atrium.


Face Completion with Semantic Knowledge and Collaborative Adversarial Learning

no code implementations8 Dec 2018 Haofu Liao, Gareth Funka-Lea, Yefeng Zheng, Jiebo Luo, S. Kevin Zhou

Unlike a conventional background inpainting approach that infers a missing area from image patches similar to the background, face completion requires semantic knowledge about the target object for realistic outputs.

Facial Inpainting Semantic Segmentation

CariGAN: Caricature Generation through Weakly Paired Adversarial Learning

no code implementations1 Nov 2018 Wenbin Li, Wei Xiong, Haofu Liao, Jing Huo, Yang Gao, Jiebo Luo

Furthermore, an attention mechanism is introduced to encourage our model to focus on the key facial parts so that more vivid details in these regions can be generated.


Sum of previous inpatient serum creatinine measurements predicts acute kidney injury in rehospitalized patients

no code implementations5 Dec 2017 Sam Weisenthal, Haofu Liao, Philip Ng, Martin Zand

Acute Kidney Injury (AKI), the abrupt decline in kidney function due to temporary or permanent injury, is associated with increased mortality, morbidity, length of stay, and hospital cost.

Kidney Function

Inferring Restaurant Styles by Mining Crowd Sourced Photos from User-Review Websites

no code implementations19 Nov 2016 Haofu Liao, Yuncheng Li, Tianran Hu, Jiebo Luo

The multi-label CNN is then used to compute the confidence scores of restaurant styles for all the images associated with a restaurant.

Informativeness Multi-Label Learning +1

Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning

no code implementations6 Oct 2016 Yu Wang, Haofu Liao, Yang Feng, Xiangyang Xu, Jiebo Luo

We find that Chinese, Japanese and Koreans do exhibit substantial differences in certain attributes, such as bangs, smiling, and bushy eyebrows.


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