Shuo Li
Orcid: 0000-0002-5184-3230Affiliations:
- Western University, London, ON, Canada
- GE Healthcare, London, ON, Canada (former)
- Concordia University, Medical Imaging Group, Montréal, QC, Canada (former)
According to our database1,
Shuo Li
authored at least 274 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness.
IEEE Trans. Neural Networks Learn. Syst., February, 2024
STANet: Spatio-Temporal Adaptive Network and Clinical Prior Embedding Learning for 3D+T CMR Segmentation.
IEEE J. Biomed. Health Informatics, February, 2024
2023
Spatiotemporal knowledge teacher-student reinforcement learning to detect liver tumors without contrast agents.
Medical Image Anal., December, 2023
Ambiguity-aware breast tumor cellularity estimation via self-ensemble label distribution learning.
Medical Image Anal., December, 2023
Adaptive Frequency Learning Network With Anti-Aliasing Complex Convolutions for Colon Diseases Subtypes.
IEEE J. Biomed. Health Informatics, October, 2023
Dual Multiscale Mean Teacher Network for Semi-Supervised Infection Segmentation in Chest CT Volume for COVID-19.
IEEE Trans. Cybern., October, 2023
Attractive deep morphology-aware active contour network for vertebral body contour extraction with extensions to heterogeneous and semi-supervised scenarios.
Medical Image Anal., October, 2023
Medical Image Anal., October, 2023
Trajectory-Aware Adaptive Imaging Clue Analysis for Guidewire Artifact Removal in Intravascular Optical Coherence Tomography.
IEEE J. Biomed. Health Informatics, September, 2023
Sequence based local-global information fusion framework for vertebrae detection under pathological and FOV variation challenges.
Comput. Medical Imaging Graph., September, 2023
Refined Feature-based Multi-frame and Multi-scale Fusing Gate network for accurate segmentation of plaques in ultrasound videos.
Comput. Biol. Medicine, September, 2023
ARR-GCN: Anatomy-Relation Reasoning Graph Convolutional Network for Automatic Fine-Grained Segmentation of Organ's Surgical Anatomy.
IEEE J. Biomed. Health Informatics, July, 2023
Heuristic multi-modal integration framework for liver tumor detection from multi-modal non-enhanced MRIs.
Expert Syst. Appl., July, 2023
Feature-correlation-aware history-preserving-sparse-coding framework for automatic vertebra recognition.
Comput. Biol. Medicine, June, 2023
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023
Multi-Task Learning for Pulmonary Arterial Hypertension Prognosis Prediction via Memory Drift and Prior Prompt Learning on 3D Chest CT.
IEEE J. Biomed. Health Informatics, April, 2023
O2M-UDA: Unsupervised dynamic domain adaptation for one-to-multiple medical image segmentation.
Knowl. Based Syst., April, 2023
Improving anisotropy resolution of computed tomography and annotation using 3D super-resolution network.
Biomed. Signal Process. Control., April, 2023
Corrections to "Image Projection Network: 3D to 2D Image Segmentation in OCTA Images".
IEEE Trans. Medical Imaging, 2023
A Knowledge-Guided Framework for Fine-Grained Classification of Liver Lesions Based on Multi-Phase CT Images.
IEEE J. Biomed. Health Informatics, 2023
BMAnet: Boundary Mining With Adversarial Learning for Semi-Supervised 2D Myocardial Infarction Segmentation.
IEEE J. Biomed. Health Informatics, 2023
Carotid Lumen Diameter and Intima-Media Thickness Measurement via Boundary-Guided Pseudo-Labeling.
IEEE Signal Process. Lett., 2023
From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping.
Medical Image Anal., 2023
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge.
CoRR, 2023
Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training.
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
SC2Net: A Novel Segmentation-Based Classification Network for Detection of COVID-19 in Chest X-Ray Images.
IEEE J. Biomed. Health Informatics, 2022
IEEE J. Biomed. Health Informatics, 2022
IEEE J. Biomed. Health Informatics, 2022
MVSGAN: Spatial-Aware Multi-View CMR Fusion for Accurate 3D Left Ventricular Myocardium Segmentation.
IEEE J. Biomed. Health Informatics, 2022
Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation.
IEEE J. Biomed. Health Informatics, 2022
Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching.
IEEE J. Biomed. Health Informatics, 2022
IEEE J. Biomed. Health Informatics, 2022
TRSA-Net: Task Relation Spatial Co-Attention for Joint Segmentation, Quantification and Uncertainty Estimation on Paired 2D Echocardiography.
IEEE J. Biomed. Health Informatics, 2022
Medical Image Anal., 2022
Reasoning discriminative dictionary-embedded network for fully automatic vertebrae tumor diagnosis.
Medical Image Anal., 2022
MVFStain: Multiple virtual functional stain histopathology images generation based on specific domain mapping.
Medical Image Anal., 2022
Task relevance driven adversarial learning for simultaneous detection, size grading, and quantification of hepatocellular carcinoma via integrating multi-modality MRI.
Medical Image Anal., 2022
RE-3DLVNet: Refined estimation of the left ventricle volume via interactive 3D segmentation and reinforced quantification.
Knowl. Based Syst., 2022
X-CTRSNet: 3D cervical vertebra CT reconstruction and segmentation directly from 2D X-ray images.
Knowl. Based Syst., 2022
Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19.
CoRR, 2022
United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI.
CoRR, 2022
Weak lesion feature extraction by dual-branch separation and enhancement network for safe hemorrhagic transformation prediction.
Comput. Medical Imaging Graph., 2022
Two-stage segmentation network with feature aggregation and multi-level attention mechanism for multi-modality heart images.
Comput. Medical Imaging Graph., 2022
Comput. Medical Imaging Graph., 2022
Contrast-Free Liver Tumor Detection Using Ternary Knowledge Transferred Teacher-Student Deep Reinforcement Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Position-Prior Clustering-Based Self-attention Module for Knee Cartilage Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
ULTRA: Uncertainty-Aware Label Distribution Learning for Breast Tumor Cellularity Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-sequence MRI Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
2021
Multitask Learning for Estimating Multitype Cardiac Indices in MRI and CT Based on Adversarial Reverse Mapping.
IEEE Trans. Neural Networks Learn. Syst., 2021
Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data.
IEEE J. Biomed. Health Informatics, 2021
IEEE J. Biomed. Health Informatics, 2021
Thanka Mural Inpainting Based on Multi-Scale Adaptive Partial Convolution and Stroke-Like Mask.
IEEE Trans. Image Process., 2021
Estimating Functional Connectivity by Integration of Inherent Brain Function Activity Pattern Priors.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Automatic vertebrae recognition from arbitrary spine MRI images by a category-Consistent self-calibration detection framework.
Medical Image Anal., 2021
United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI.
Medical Image Anal., 2021
OF-UMRN: Uncertainty-guided multitask regression network aided by optical flow for fully automated comprehensive analysis of carotid artery.
Medical Image Anal., 2021
Sequential conditional reinforcement learning for simultaneous vertebral body detection and segmentation with modeling the spine anatomy.
Medical Image Anal., 2021
Synthesis of gadolinium-enhanced liver tumors on nonenhanced liver MR images using pixel-level graph reinforcement learning.
Medical Image Anal., 2021
ELNet: Automatic classification and segmentation for esophageal lesions using convolutional neural network.
Medical Image Anal., 2021
Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge.
Medical Image Anal., 2021
Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network.
Medical Image Anal., 2021
APRIL: Anatomical prior-guided reinforcement learning for accurate carotid lumen diameter and intima-media thickness measurement.
Medical Image Anal., 2021
Medical Image Anal., 2021
Unifying neural learning and symbolic reasoning for spinal medical report generation.
Medical Image Anal., 2021
Weakly-Supervised teacher-Student network for liver tumor segmentation from non-enhanced images.
Medical Image Anal., 2021
Applying Cross-Modality Data Processing for Infarction Learning in Medical Internet of Things.
IEEE Internet Things J., 2021
CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Compartments Segmentation on CT Images.
CoRR, 2021
Multi-Indices Quantification for Left Ventricle via DenseNet and GRU-Based Encoder-Decoder with Attention.
Complex., 2021
Comput. Methods Programs Biomed., 2021
Comput. Medical Imaging Graph., 2021
TSU-net: Two-stage multi-scale cascade and multi-field fusion U-net for right ventricular segmentation.
Comput. Medical Imaging Graph., 2021
Appl. Soft Comput., 2021
mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
CPNet: Cycle Prototype Network for Weakly-Supervised 3D Renal Compartments Segmentation on CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2021
Thin Semantics Enhancement via High-Frequency Priori Rule for Thin Structures Segmentation.
Proceedings of the IEEE International Conference on Data Mining, 2021
2020
Direct Quantification of Coronary Artery Stenosis Through Hierarchical Attentive Multi-View Learning.
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Medical Imaging, 2020
K-Net: Integrate Left Ventricle Segmentation and Direct Quantification of Paired Echo Sequence.
IEEE Trans. Medical Imaging, 2020
Privileged Modality Distillation for Vessel Border Detection in Intracoronary Imaging.
IEEE Trans. Medical Imaging, 2020
Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-Supervised Learning.
IEEE J. Biomed. Health Informatics, 2020
MRLN: Multi-Task Relational Learning Network for MRI Vertebral Localization, Identification, and Segmentation.
IEEE J. Biomed. Health Informatics, 2020
Multiple Axial Spine Indices Estimation via Dense Enhancing Network With Cross-Space Distance-Preserving Regularization.
IEEE J. Biomed. Health Informatics, 2020
IEEE Netw., 2020
Neural Comput. Appl., 2020
Medical Image Anal., 2020
Multi-indices quantification of optic nerve head in fundus image via multitask collaborative learning.
Medical Image Anal., 2020
Contrast agent-free synthesis and segmentation of ischemic heart disease images using progressive sequential causal GANs.
Medical Image Anal., 2020
Segmentation and quantification of infarction without contrast agents via spatiotemporal generative adversarial learning.
Medical Image Anal., 2020
SDAE-GAN: Enable high-dimensional pathological images in liver cancer survival prediction with a policy gradient based data augmentation method.
Medical Image Anal., 2020
Holistic multitask regression network for multiapplication shape regression segmentation.
Medical Image Anal., 2020
MB-FSGAN: Joint segmentation and quantification of kidney tumor on CT by the multi-branch feature sharing generative adversarial network.
Medical Image Anal., 2020
Dynamically constructed network with error correction for accurate ventricle volume estimation.
Medical Image Anal., 2020
Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantification.
Medical Image Anal., 2020
Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation.
Medical Image Anal., 2020
An integrated deep learning framework for joint segmentation of blood pool and myocardium.
Medical Image Anal., 2020
Medical Image Anal., 2020
Trustful Internet of Surveillance Things Based on Deeply Represented Visual Co-Saliency Detection.
IEEE Internet Things J., 2020
Non-rigid retinal image registration using an unsupervised structure-driven regression network.
Neurocomputing, 2020
MMCL-Net: Spinal disease diagnosis in global mode using progressive multi-task joint learning.
Neurocomputing, 2020
Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention.
Future Gener. Comput. Syst., 2020
Unifying Neural Learning and Symbolic Reasoning for Spinal Medical Report Generation.
CoRR, 2020
Multislice left ventricular ejection fraction prediction from cardiac MRIs without segmentation using shared SptDenNet.
Comput. Medical Imaging Graph., 2020
Special issue: third MICCAI workshop on bio-imaging and visualization for patient-customized simulations.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020
Direct estimation of left ventricular ejection fraction via a cardiac cycle feature learning architecture.
Comput. Biol. Medicine, 2020
Segmentation and visualization of left atrium through a unified deep learning framework.
Int. J. Comput. Assist. Radiol. Surg., 2020
Artif. Intell. Medicine, 2020
Coarse-to-fine classification for diabetic retinopathy grading using convolutional neural network.
Artif. Intell. Medicine, 2020
IEEE Access, 2020
Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020
Discriminative Dictionary-Embedded Network for Comprehensive Vertebrae Tumor Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Temporal-Consistent Segmentation of Echocardiography with Co-learning from Appearance and Shape.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Mt-UcGAN: Multi-task Uncertainty-Constrained GAN for Joint Segmentation, Quantification and Uncertainty Estimation of Renal Tumors on CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Deep Complementary Joint Model for Complex Scene Registration and Few-Shot Segmentation on Medical Images.
Proceedings of the Computer Vision - ECCV 2020, 2020
OF-MSRN: Optical Flow-Auxiliary Multi-Task Regression Network for Direct Quantitative Measurement, Segmentation and Motion Estimation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Direct Segmentation-Based Full Quantification for Left Ventricle via Deep Multi-Task Regression Learning Network.
IEEE J. Biomed. Health Informatics, 2019
Automatic spondylolisthesis grading from MRIs across modalities using faster adversarial recognition network.
Medical Image Anal., 2019
Medical Image Anal., 2019
Direct automated quantitative measurement of spine by cascade amplifier regression network with manifold regularization.
Medical Image Anal., 2019
PV-LVNet: Direct left ventricle multitype indices estimation from 2D echocardiograms of paired apical views with deep neural networks.
Medical Image Anal., 2019
Learning the implicit strain reconstruction in ultrasound elastography using privileged information.
Medical Image Anal., 2019
An end-to-end joint learning framework of artery-specific coronary calcium scoring in non-contrast cardiac CT.
Computing, 2019
A novel machine-learning algorithm to estimate the position and size of myocardial infarction for MRI sequence.
Computing, 2019
Quantification of Full Left Ventricular Metrics via Deep Regression Learning With Contour-Guidance.
IEEE Access, 2019
MA-Shape: Modality Adaptation Shape Regression for Left Ventricle Segmentation on Mixed MR and CT Images.
IEEE Access, 2019
Automatic Vertebrae Recognition from Arbitrary Spine MRI Images by a Hierarchical Self-calibration Detection Framework.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A Deep Reinforcement Learning Framework for Frame-by-Frame Plaque Tracking on Intravascular Optical Coherence Tomography Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Recurrent Aggregation Learning for Multi-view Echocardiographic Sequences Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
DPA-DenseBiasNet: Semi-supervised 3D Fine Renal Artery Segmentation with Dense Biased Network and Deep Priori Anatomy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Context-Aware Inductive Bias Learning for Vessel Border Detection in Multi-modal Intracoronary Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
EchoQuan-Net: Direct Quantification of Echo Sequence for Left Ventricle Multidimensional Indices via Global-Local Learning, Geometric Adjustment and Multi-target Relation Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019
Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Motion Tracking of the Carotid Artery Wall From Ultrasound Image Sequences: a Nonlinear State-Space Approach.
IEEE Trans. Medical Imaging, 2018
Robust Segmentation of Intima-Media Borders With Different Morphologies and Dynamics During the Cardiac Cycle.
IEEE J. Biomed. Health Informatics, 2018
IEEE Trans. Pattern Anal. Mach. Intell., 2018
Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning.
Neuroinformatics, 2018
Medical Image Anal., 2018
Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture.
Medical Image Anal., 2018
Medical Image Anal., 2018
Medical Image Anal., 2018
Inf. Sci., 2018
Automated neural foraminal stenosis grading via task-aware structural representation learning.
Neurocomputing, 2018
An Automatic Cardiac Arrhythmia Classification System With Wearable Electrocardiogram.
IEEE Access, 2018
IEEE Access, 2018
DeepSS: Exploring Splice Site Motif Through Convolutional Neural Network Directly From DNA Sequence.
IEEE Access, 2018
Evaluation and Comparison of Automatic Intervertebral Disc Localization and Segmentation methods with 3D Multi-modality MR Images: A Grand Challenge.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
MuTGAN: Simultaneous Segmentation and Quantification of Myocardial Infarction Without Contrast Agents via Joint Adversarial Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Direct Reconstruction of Ultrasound Elastography Using an End-to-End Deep Neural Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Towards Automatic Report Generation in Spine Radiology Using Weakly Supervised Framework.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-Voxel Discrimination.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Automated delineation of organs-at-risk in head and neck CT images using multi-output support vector regression.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
A discriminative learning based approach for automated nasopharyngeal carcinoma segmentation leveraging multi-modality similarity metric learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 5th International Conference on Systems and Informatics, 2018
Proceedings of the British Machine Vision Conference 2018, 2018
Proceedings of the British Machine Vision Conference 2018, 2018
2017
Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression.
IEEE Trans. Neural Networks Learn. Syst., 2017
Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning.
IEEE Trans. Medical Imaging, 2017
Automated segmentation and area estimation of neural foramina with boundary regression model.
Pattern Recognit., 2017
Pattern Recognit., 2017
IEEE Trans. Pattern Anal. Mach. Intell., 2017
Direct and simultaneous estimation of cardiac four chamber volumes by multioutput sparse regression.
Medical Image Anal., 2017
Unsupervised boundary delineation of spinal neural foramina using a multi-feature and adaptive spectral segmentation.
Medical Image Anal., 2017
Robust estimation of carotid artery wall motion using the elasticity-based state-space approach.
Medical Image Anal., 2017
Direct spondylolisthesis identification and measurement in MR/CT using detectors trained by articulated parameterized spine model.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Full Quantification of Left Ventricle via Deep Multitask Learning Network Respecting Intra- and Inter-Task Relatedness.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Direct Detection of Pixel-Level Myocardial Infarction Areas via a Deep-Learning Algorithm.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Automatic Landmark Estimation for Adolescent Idiopathic Scoliosis Assessment Using BoostNet.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Automated assessment of breast tissue density in non-contrast 3D CT images without image segmentation based on a deep CNN.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Automated grading of lumbar disc degeneration via supervised distance metric learning.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Detection of lumen and media-adventitia borders in IVUS images using sparse auto-encoder neural network.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Direct Estimation of Regional Wall Thicknesses via Residual Recurrent Neural Network.
Proceedings of the Information Processing in Medical Imaging, 2017
Proceedings of the Information Processing in Medical Imaging, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
Unsupervised Freeview Groupwise Cardiac Segmentation Using Synchronized Spectral Network.
IEEE Trans. Medical Imaging, 2016
Multi-scale deep networks and regression forests for direct bi-ventricular volume estimation.
Medical Image Anal., 2016
Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences.
Comput. Methods Programs Biomed., 2016
Comput. Medical Imaging Graph., 2016
Comput. Medical Imaging Graph., 2016
Comput. Medical Imaging Graph., 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Automated Diagnosis of Neural Foraminal Stenosis Using Synchronized Superpixels Representation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Carotid Artery Wall Motion Estimated from Ultrasound Imaging Sequences Using a Nonlinear State Space Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Automatic quantification of mammary glands on non-contrast x-ray CT by using a novel segmentation approach.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
IEEE Trans. Medical Imaging, 2015
IEEE Trans. Medical Imaging, 2015
Guest Editorial Special Issue on Spine Imaging, Image-Based Modeling, and Image Guided Intervention.
IEEE Trans. Medical Imaging, 2015
Multi-Modality Vertebra Recognition in Arbitrary Views Using 3D Deformable Hierarchical Model.
IEEE Trans. Medical Imaging, 2015
Distribution Matching with the Bhattacharyya Similarity: A Bound Optimization Framework.
IEEE Trans. Pattern Anal. Mach. Intell., 2015
Comput. Medical Imaging Graph., 2015
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Localization and Segmentation of 3D Intervertebral Discs from MR Images via a Learning Based Method: A Validation Framework.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2015
Unsupervised Free-View Groupwise Segmentation for M3 Cardiac Images Using Synchronized Spectral Network.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
2014
Regional Assessment of Cardiac Left Ventricular Myocardial Function via MRI Statistical Features.
IEEE Trans. Medical Imaging, 2014
Direct Estimation of Cardiac Biventricular Volumes With an Adapted Bayesian Formulation.
IEEE Trans. Biomed. Eng., 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014
2013
Medical Image Anal., 2013
Medical Image Anal., 2013
Comput. Vis. Image Underst., 2013
Gradient Competition Anisotropy for Centerline Extraction and Segmentation of Spinal Cords.
Proceedings of the Information Processing in Medical Imaging, 2013
2012
SIAM J. Imaging Sci., 2012
Max-flow segmentation of the left ventricle by recovering subject-specific distributions via a bound of the Bhattacharyya measure.
Medical Image Anal., 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the Computer Vision - ECCV 2012, 2012
2011
A neural network learned information measures for heart motion abnormality detection.
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
A Convex Max-Flow Segmentation of LV Using Subject-Specific Distributions on Cardiac MRI.
Proceedings of the Information Processing in Medical Imaging, 2011
Graph Cuts with Invariant Object-Interaction Priors: Application to Intervertebral Disc Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2011
2010
Detection of left ventricular motion abnormality via information measures and Bayesian filtering.
IEEE Trans. Inf. Technol. Biomed., 2010
IEEE Trans. Biomed. Eng., 2010
Regional Heart Motion Abnormality Detection via Information Measures and Unscented Kalman Filtering.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
A Parameterization of Deformation Fields for Diffeomorphic Image Registration and Its Application to Myocardial Delineation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010
Graph cut segmentation with a global constraint: Recovering region distribution via a bound of the Bhattacharyya measure.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010
2009
IEEE Trans. Medical Imaging, 2009
Int. J. Comput. Vis., 2009
Int. J. Comput. Assist. Radiol. Surg., 2009
Heart Motion Abnormality Detection via an Information Measure and Bayesian Filtering.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Information Processing in Medical Imaging, 2009
Tracking Endocardial Boundary and Motion via Graph Cut Distribution Matching and Multiple Model Filtering.
Proceedings of the Computer Vision, 2009
2008
Proceedings of the Medical Imaging 2008: Image Processing, 2008
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008
2007
Vis. Comput., 2007
Semi-automatic computer aided lesion detection in dental X-rays using variational level set.
Pattern Recognit., 2007
Proceedings of the Medical Imaging 2007: Image Processing, 2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
2006
Eng. Appl. Artif. Intell., 2006
An automatic variational level set segmentation framework for computer aided dental X-rays analysis in clinical environments.
Comput. Medical Imaging Graph., 2006
Fast and Robust Clinical Triple-Region Image Segmentation Using One Level Set Function.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
2005
Feature Preserving Volumetric Data Simplification for Application in Medical Imaging.
Proceedings of the 13-th International Conference in Central Europe on Computer Graphics, 2005
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005
Proceedings of the Medical Imaging 2005: Image Processing, 2005
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
2004
Image Segmentation Adapted for Clinical Settings by Combining Pattern Classification and Level Sets.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
A SVM-based framework for autonomous volumetric medical image segmentation using hierarchical and coupled level sets.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004