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01/18/2023
HSTFormer: Hierarchical Spatial-Temporal Transformers for 3D Human Pose Estimation
Transformer-based approaches have been successfully proposed for 3D huma...
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08/28/2022
Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers
Automatically measuring lesion/tumor size with RECIST (Response Evaluati...
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07/22/2022
PieTrack: An MOT solution based on synthetic data training and self-supervised domain adaptation
In order to cope with the increasing demand for labeling data and privac...
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08/17/2021
A Flexible Three-Dimensional Hetero-phase Computed Tomography Hepatocellular Carcinoma (HCC) Detection Algorithm for Generalizable and Practical HCC Screening
Hepatocellular carcinoma (HCC) can be potentially discovered from abdomi...
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05/05/2021
Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection
Measuring lesion size is an important step to assess tumor growth and mo...
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05/03/2021
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss
Accurately segmenting a variety of clinically significant lesions from w...
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03/19/2021
Computational Emotion Analysis From Images: Recent Advances and Future Directions
Emotions are usually evoked in humans by images. Recently, extensive res...
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03/09/2021
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining
The boundary of tumors (hepatocellular carcinoma, or HCC) contains rich ...
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12/09/2020
Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies
Monitoring treatment response in longitudinal studies plays an important...
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12/04/2020
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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07/21/2020
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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07/19/2020
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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07/14/2020
Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model
Current deep learning based segmentation models often generalize poorly ...
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02/08/2020
Bone Suppression on Chest Radiographs With Adversarial Learning
Dual-energy (DE) chest radiography provides the capability of selectivel...
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01/24/2020
Weakly Supervised Lesion Co-segmentation on CT Scans
Lesion segmentation in medical imaging serves as an effective tool for a...
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01/23/2020
Weakly-Supervised Lesion Segmentation on CT Scans using Co-Segmentation
Lesion segmentation on computed tomography (CT) scans is an important st...
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08/21/2019
TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays
In this work, we exploit the unsupervised domain adaptation problem for ...
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08/12/2019
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation
When reading medical images such as a computed tomography (CT) scan, rad...
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04/19/2019
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation
This paper proposes a novel framework for lung segmentation in chest X-r...
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03/05/2019
Abnormal Chest X-ray Identification With Generative Adversarial One-Class Classifier
Being one of the most common diagnostic imaging tests, chest radiography...
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01/18/2019
ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining
Automatic lesion detection from computed tomography (CT) scans is an imp...
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07/18/2018
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement
Automated lesion segmentation from computed tomography (CT) is an import...
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07/02/2018
Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST
Volumetric lesion segmentation from computed tomography (CT) images is a...
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06/25/2018
Semi-Automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks
Response evaluation criteria in solid tumors (RECIST) is the standard me...
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06/11/2018
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation
Data availability plays a critical role for the performance of deep lear...
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01/25/2018
Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST
Volumetric lesion segmentation via medical imaging is a powerful means t...
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08/18/2016
Saliency Detection via Combining Region-Level and Pixel-Level Predictions with CNNs
This paper proposes a novel saliency detection method by combining regio...
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08/18/2016