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05/09/2022
Localized Adversarial Domain Generalization
Deep learning methods can struggle to handle domain shifts not seen in t...
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10/17/2021
A deep learning pipeline for localization, differentiation, and uncertainty estimation of liver lesions using multi-phasic and multi-sequence MRI
Objectives: to propose a fully-automatic computer-aided diagnosis (CAD) ...
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10/12/2021
Accurate and Generalizable Quantitative Scoring of Liver Steatosis from Ultrasound Images via Scalable Deep Learning
Background Aims: Hepatic steatosis is a major cause of chronic liver...
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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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04/12/2021
Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings
Depending on the application, radiological diagnoses can be associated w...
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04/07/2021
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
3D delineation of anatomical structures is a cardinal goal in medical im...
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03/24/2021
Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data
Lesion detection serves a critical role in early diagnosis and has been ...
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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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12/02/2020
Contour Transformer Network for One-shot Segmentation of Anatomical Structures
Accurate segmentation of anatomical structures is vital for medical imag...
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09/11/2020
Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray Abnormality Taxonomies
CXRs are a crucial and extraordinarily common diagnostic tool, leading t...
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09/05/2020
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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09/05/2020
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation
Mask-based annotation of medical images, especially for 3D data, is a bo...
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08/30/2020
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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08/29/2020
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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08/07/2020
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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07/06/2020
Learning to Segment Anatomical Structures Accurately from One Exemplar
Accurate segmentation of critical anatomical structures is at the core o...
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07/03/2020
Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images
Visual cues of enforcing bilaterally symmetric anatomies as normal findi...
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05/28/2020
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets
Lesion detection is an important problem within medical imaging analysis...
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05/27/2020
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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05/27/2020
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation
In medical imaging, organ/pathology segmentation models trained on curre...
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05/25/2020
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans
Multi-modal image registration is a challenging problem yet important cl...
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04/17/2020
Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search
OAR segmentation is a critical step in radiotherapy of head and neck (H ...
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01/21/2020
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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09/04/2019
Weakly Supervised Universal Fracture Detection in Pelvic X-rays
Hip and pelvic fractures are serious injuries with life-threatening comp...
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09/04/2019
Deep Esophageal Clinical Target Volume Delineation using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk
Clinical target volume (CTV) delineation from radiotherapy computed tomo...
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09/04/2019
Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT using Two-Stream Chained 3D Deep Network Fusion
Gross tumor volume (GTV) segmentation is a critical step in esophageal c...
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07/19/2018
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs
In this work, we exploit the task of joint classification and weakly sup...
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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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07/03/2018
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays
Given image labels as the only supervisory signal, we focus on harvestin...
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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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03/19/2018
White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections
Segmentation and quantification of white matter hyperintensities (WMHs) ...
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02/12/2018
Random Hinge Forest for Differentiable Learning
We propose random hinge forests, a simple, efficient, and novel variant ...
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02/07/2018
High Performance Rearrangement and Multiplication Routines for Sparse Tensor Arithmetic
Researchers are increasingly incorporating numeric high-order data, i.e....
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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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06/12/2017
Progressive and Multi-Path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images
Pathological lung segmentation (PLS) is an important, yet challenging, m...
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01/31/2017
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation
Accurate and automatic organ segmentation from 3D radiological scans is ...
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01/19/2017