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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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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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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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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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CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization
Most current pipelines for spatio-temporal action localization connect f...
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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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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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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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Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale
Acquiring large-scale medical image data, necessary for training machine...
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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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A self-attention based deep learning method for lesion attribute detection from CT reports
In radiology, radiologists not only detect lesions from the medical imag...
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Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology
In radiologists' routine work, one major task is to read a medical image...
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Fine-grained lesion annotation in CT images with knowledge mined from radiology reports
In radiologists' routine work, one major task is to read a medical image...
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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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Attention Driven Person Re-identification
Person re-identification (ReID) is a challenging task due to arbitrary h...
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Deep Learning for Image Denoising: A Survey
Since the proposal of big data analysis and Graphic Processing Unit (GPU...
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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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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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3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection
Detecting lesions from computed tomography (CT) scans is an important bu...
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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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Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database
Radiologists in their daily work routinely find and annotate significant...
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Emerging Privacy Issues and Solutions in Cyber-Enabled Sharing Services
Fast development of sharing services becomes a crucial part of the proce...
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DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations
Extracting, harvesting and building large-scale annotated radiological i...
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Information Design in Crowdfunding under Thresholding Policies
In crowdfunding, an entrepreneur often has to decide how to disclose the...
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Learning a Repression Network for Precise Vehicle Search
The growing explosion in the use of surveillance cameras in public secur...
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Unsupervised body part regression using convolutional neural network with self-organization
Automatic body part recognition for CT slices can benefit various medica...
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Learning Domain-Invariant Subspace using Domain Features and Independence Maximization
Domain adaptation algorithms are useful when the distributions of the tr...
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