Jianhua Yao
Orcid: 0000-0001-9157-9596Affiliations:
- Tencent AI Lab, Shenzhen, China
- National Institutes of Health, Bethesda, MD, USA
- Johns Hopkins University, Baltimore, MD, USA (PhD)
According to our database1,
Jianhua Yao
authored at least 262 papers
between 1999 and 2024.
Collaborative distances:
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Bibliography
2024
A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images.
Comput. Methods Programs Biomed., November, 2023
Deep domain adversarial neural network for the deconvolution of cell type mixtures in tissue proteome profiling.
Nat. Mac. Intell., October, 2023
Standardized measurement of mid-surface shift of brain based on deep Hough transform.
Comput. Medical Imaging Graph., September, 2023
SC-AIR-BERT: a pre-trained single-cell model for predicting the antigen-binding specificity of the adaptive immune receptor.
Briefings Bioinform., July, 2023
iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities.
Briefings Bioinform., July, 2023
3D Shuffle-Mixer: An Efficient Context-Aware Vision Learner of Transformer-MLP Paradigm for Dense Prediction in Medical Volume.
IEEE Trans. Medical Imaging, May, 2023
Targeting tumor heterogeneity: multiplex-detection-based multiple instance learning for whole slide image classification.
Bioinform., March, 2023
Interpretable artificial intelligence model for accurate identification of medical conditions using immune repertoire.
Briefings Bioinform., January, 2023
Semi-supervised Semantic Segmentation Meets Masked Modeling: Fine-grained Locality Learning Matters in Consistency Regularization.
CoRR, 2023
CoRR, 2023
IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Human-Machine Interactive Tissue Prototype Learning for Label-Efficient Histopathology Image Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2023
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Multimodal-AIR-BERT: A Multimodal Pre-trained Model for Antigen Specificity Prediction in Adaptive Immune Receptors.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data.
Nat. Mac. Intell., October, 2022
Automatic Brain Midline Surface Delineation on 3D CT Images With Intracranial Hemorrhage.
IEEE Trans. Medical Imaging, 2022
Multiplex-detection Based Multiple Instance Learning Network for Whole Slide Image Classification.
CoRR, 2022
Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction.
CoRR, 2022
Towards better understanding and better generalization of few-shot classification in histology images with contrastive learning.
CoRR, 2022
Deep contrastive learning based tissue clustering for annotation-free histopathology image analysis.
Comput. Medical Imaging Graph., 2022
Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis.
Bioinform., 2022
Clarion is a multi-label problem transformation method for identifying mRNA subcellular localizations.
Briefings Bioinform., 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
SETMIL: Spatial Encoding Transformer-Based Multiple Instance Learning for Pathological Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
ReMix: A General and Efficient Framework for Multiple Instance Learning Based Whole Slide Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Ideal Midsagittal Plane Detection Using Deep Hough Plane Network for Brain Surgical Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Towards Better Understanding and Better Generalization of Low-shot Classification in Histology Images with Contrastive Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Integrating Prior Knowledge with Graph Encoder for Gene Regulatory Inference from Single-cell RNA-Seq Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Joint fully convolutional and graph convolutional networks for weakly-supervised segmentation of pathology images.
Medical Image Anal., 2021
Fusion of medical imaging and electronic health records with attention and multi-head machanisms.
CoRR, 2021
Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Intracerebral Haemorrhage Growth Prediction Based on Displacement Vector Field and Clinical Metadata.
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
DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Strongly Supervised Mitosis Detection In Breast Histopathology Images Using Weak Labels.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
PiPo-Net: A Semi-automatic and Polygon-based Annotation Method for Pathological Images.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Mining the Associations between V(D)J Gene Segments and COVID-19 Disease Characteristics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
An Interpretable Multi-Level Enhanced Graph Attention Network for Disease Diagnosis with Gene Expression Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data.
IEEE Trans. Medical Imaging, 2020
J. Medical Imaging Health Informatics, 2020
Unsupervised domain adaptation with adversarial learning for mass detection in mammogram.
Neurocomputing, 2020
CoRR, 2020
Asynchronous in Parallel Detection and Tracking (AIPDT): Real-Time Robust Polyp Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy.
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 17th IEEE International Symposium on Biomedical Imaging, 2020
Microsatellite Instability Prediction of Uterine Corpus Endometrial Carcinoma Based on H&E Histology Whole-Slide Imaging.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Automatic Mapping of CT Scan Locations on Computational Human Phantoms for Organ Dose Estimation.
J. Digit. Imaging, 2019
Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data.
CoRR, 2019
Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks.
IEEE Access, 2019
Enhanced Cycle-Consistent Generative Adversarial Network for Color Normalization of H&E Stained Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Slide Image Classifier.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A semi-supervised CNN learning method with pseudo-class labels for vascular calcification detection on low dose CT scans.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Polyp Tracking in Video Colonoscopy Using Optical Flow With an On-The-Fly Trained CNN.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
A Semi-Supervised CNN Learning Method with Pseudo-class Labels for Atherosclerotic Vascular Calcification Detection.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
2018
IEEE Trans. Medical Imaging, 2018
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans.
CoRR, 2018
Self-learning to detect and segment cysts in lung CT images without manual annotation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Deep LOGISMOS: Deep learning graph-based 3D segmentation of pancreatic tumors on CT scans.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017
Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017
Pancreatic Tumor Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM Coupling.
IEEE Trans. Medical Imaging, 2017
IEEE J. Biomed. Health Informatics, 2017
Medical Image Anal., 2017
Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Pelvic artery calcification detection on CT scans using convolutional neural networks.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Texture analysis of common renal masses in multiple MR sequences for prediction of pathology.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Atherosclerotic vascular calcification detection and segmentation on low dose computed tomography scans using convolutional neural networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.
IEEE Trans. Medical Imaging, 2016
Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation.
IEEE Trans. Medical Imaging, 2016
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation.
J. Mach. Learn. Res., 2016
Open-Source Radiation Exposure Extraction Engine (RE3) with Patient-Specific Outlier Detection.
J. Digit. Imaging, 2016
Inf. Retr. J., 2016
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database.
CoRR, 2016
Comput. Medical Imaging Graph., 2016
Regional infarction identification from cardiac CT images: a computer-aided biomechanical approach.
Int. J. Comput. Assist. Radiol. Surg., 2016
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016
Detection of Degenerative Osteophytes of the Spine on PET/CT Using Region-Based Convolutional Neural Networks.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Deep convolutional networks for automated detection of posterior-element fractures on spine CT.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Differentiation of fat, muscle, and edema in thigh MRIs using random forest classification.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Identification of muscle and subcutaneous and intermuscular adipose tissue on thigh MRI of muscular dystrophy.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
Guest Editorial Special Issue on Spine Imaging, Image-Based Modeling, and Image Guided Intervention.
IEEE Trans. Medical Imaging, 2015
Tumor growth prediction with reaction-diffusion and hyperelastic biomechanical model by physiological data fusion.
Medical Image Anal., 2015
Medical Image Anal., 2015
Computer-Aided Infarction Identification from Cardiac CT Images: A Biomechanical Approach with SVM.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Multi-atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2015
Myocardial strain estimation from CT: towards computer-aided diagnosis on infarction identification.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Automated segmentation of thyroid gland on CT images with multi-atlas label fusion and random classification forest.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Automated segmentation of the thyroid gland on CT using multi-atlas label fusion and random forest.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Pancreatic Tumor Growth Prediction with Multiplicative Growth and Image-Derived Motion.
Proceedings of the Information Processing in Medical Imaging, 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
2014
Tumor sensitive matching flow: A variational method to detecting and segmenting perihepatic and perisplenic ovarian cancer metastases on contrast-enhanced abdominal CT.
Medical Image Anal., 2014
Medical Image Anal., 2014
Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications.
CoRR, 2014
Augment low-field intra-operative MRI with preoperative MRI using a hybrid non-rigid registration method.
Comput. Methods Programs Biomed., 2014
Cortical shell unwrapping for vertebral body abnormality detection on computed tomography.
Comput. Medical Imaging Graph., 2014
Comput. Medical Imaging Graph., 2014
Locally constrained active contour: a region-based level set for ovarian cancer metastasis segmentation.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Tumor Growth Prediction with Hyperelastic Biomechanical Model, Physiological Data Fusion, and Nonlinear Optimization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Reducing false positives of small bowel segmentation on CT scans by localizing colon regions.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
Vertebral degenerative disc disease severity evaluation using random forest classification.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
Multilevel image recognition using discriminative patches and kernel covariance descriptor.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
Mediastinal lymph node detection on thoracic CT scans using spatial prior from multi-atlas label fusion.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
Automated extraction of anatomic landmarks on vertebrae based on anatomic knowledge and geometrical constraints.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Detection and station mapping of mediastinal lymph nodes on thoracic computed tomography using spatial prior from multi-atlas label fusion.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
IEEE Trans. Medical Imaging, 2013
IEEE Trans. Biomed. Eng., 2013
Kidney Tumor Growth Prediction by Coupling Reaction-Diffusion and Biomechanical Model.
IEEE Trans. Biomed. Eng., 2013
Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images.
Medical Image Anal., 2013
Synergistic combination of clinical and imaging features predicts abnormal imaging patterns of pulmonary infections.
Comput. Biol. Medicine, 2013
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
A Variational Framework for Joint Detection and Segmentation of Ovarian Cancer Metastases.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Segmenting the thoracic, abdominal and pelvic musculature on CT scans combining atlas-based model and active contour model.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Automatic anatomical labeling of abdominal arteries for small bowel evaluation on 3D CT scans.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Augmenting tumor sensitive matching flow to improve detection and segmentation of ovarian cancer metastases within a PDE framework.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
Erratum to "Automatic Renal Cortex Segmentation Using Implicit Shape Registration and Novel Multiple Surfaces Graph Search".
IEEE Trans. Medical Imaging, 2012
Automatic Renal Cortex Segmentation Using Implicit Shape Registration and Novel Multiple Surfaces Graph Search.
IEEE Trans. Medical Imaging, 2012
A Framework of Whole Heart Extracellular Volume Fraction Estimation for Low-Dose Cardiac CT Images.
IEEE Trans. Inf. Technol. Biomed., 2012
Medical Image Segmentation by Combining Graph Cuts and Oriented Active Appearance Models.
IEEE Trans. Image Process., 2012
Predicting Polyp Location on Optical Colonoscopy From CT Colonography by Minimal-Energy Curve Modeling of the Colonoscope Path.
IEEE Trans. Biomed. Eng., 2012
IEEE Trans. Biomed. Eng., 2012
Enhancing Image Analytic Tools by Fusing Quantitative Physiological Values with Image Features.
J. Digit. Imaging, 2012
Corrigendum to "Computer-assisted detection of infectious lung diseases: A review" [Comput. Med. Imag. Graph. 36(2012) 72-84].
Comput. Medical Imaging Graph., 2012
Comput. Medical Imaging Graph., 2012
Incorporation of physical constraints in optimal surface search for renal cortex segmentation.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
A framework of whole heart extracellular volume fraction estimation for low dose cardiac CT images.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
Detection of sclerotic bone metastases in the spine using watershed algorithm and graph cut.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
Computer-aided mesenteric small vessel segmentation on high-resolution 3D contrast-enhanced CT angiography scans.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
Mesenteric vasculature-guided small bowel segmentation on high-resolution 3D CT angiography scans.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Automatic detection and segmentation of abdominopelvic lymph nodes on computed tomography scans.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
High precision semi-automated vertebral height measurement using computed tomography: A phantom study.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
IEEE Trans. Biomed. Eng., 2011
Nonlinear band expansion and nonnegative matrix underapproximation for unsupervised segmentation of a liver from a multi-phase CT image.
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Renal Cortex Segmentation Using Optimal Surface Search with Novel Graph Construction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Computer-aided assessment of pulmonary disease in novel swine-origin H1N1 influenza on CT.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Computer-aided teniae coli detection using height maps from computed tomographic colonography images.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Computer-aided detection of sclerotic bone metastases in the spine using watershed algorithm and support vector machines.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Abdominal multi-organ localization on contrast-enhanced CT based on maximum a posteriori probability and minimum volume overlap.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Monitoring pulmonary fibrosis by fusing clinical, physiological, and computed tomography features.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Automatic detection of tree-in-bud patterns for computer assisted diagnosis of respiratory tract infections.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
IEEE Trans. Medical Imaging, 2010
Colonic fold detection from computed tomographic colonography images using diffusion-FCM and level sets.
Pattern Recognit. Lett., 2010
Combining Statistical and Geometric Features for Colonic Polyp Detection in Ctc Based on Multiple Kernel Learning.
Int. J. Comput. Intell. Appl., 2010
Proceedings of the Medical Imaging 2010: Image Processing, 2010
Proceedings of the Medical Imaging 2010: Visualization, 2010
Proceedings of the Virtual Colonoscopy and Abdominal Imaging. Computational Challenges and Clinical Opportunities, 2010
Characterizing Colonic Detections in CT Colonography Using Curvature-Based Feature Descriptor and Bag-of-Words Model.
Proceedings of the Virtual Colonoscopy and Abdominal Imaging. Computational Challenges and Clinical Opportunities, 2010
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
Prediction of polyp histology on CT colonography using content-based image retrieval.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
Organ Pose Distribution Model and an MAP Framework for Automated Abdominal Multi-organ Localization.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Template method to improve brain segmentation from inhomogeneous brain magnetic resonance images at high fields.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Content-based image retrieval on CT colonography using rotation and scale invariant features and bag-of-words model.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Proceedings of the International Conference on Image Processing, 2010
3D automatic anatomy segmentation based on graph cut-oriented active appearance models.
Proceedings of the International Conference on Image Processing, 2010
Improved method for predicting polyp location from CT colonography for optical colonoscopy.
Proceedings of the International Conference on Image Processing, 2010
2009
Employing topographical height map in colonic polyp measurement and false positive reduction.
Pattern Recognit., 2009
Digital image processing and pattern recognition techniques for the detection of cancer.
Pattern Recognit., 2009
Pattern Recognit., 2009
Breast Tumor Analysis in Dynamic Contrast Enhanced MRI Using Texture Features and Wavelet Transform.
IEEE J. Sel. Top. Signal Process., 2009
IEEE J. Sel. Top. Signal Process., 2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Combining heterogeneous features for colonic polyp detection in CTC based on semi-definite programming.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Two methods of Haustral fold detection from computed tomographic virtual colonoscopy images.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Centerline Registration of Prone and Supine CT Colonography Scans Based on Correlation Optimized Warping and Anatomical Landmarks.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Renal Tumor Quantification and Classification in Triple-Phase Contrast-Enhanced Abdominal CT.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Reducing the False Positive Rate of Computer Aided Detection for CT Colonography Using Content Based Image Retrieval.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
2008
IEEE Trans. Medical Imaging, 2008
Proceedings of the Medical Imaging 2008: Image Processing, 2008
Acetabular rim and surface segmentation for hip surgery planning and dysplasia evaluation.
Proceedings of the Medical Imaging 2008: Visualization, 2008
Automatic Determination of Arterial Input Function for Dynamic Contrast Enhanced MRI in Tumor Assessment.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
DMLLE: a large-scale dimensionality reduction method for detection of polyps in CT colonography.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Matching colonic polyps from prone and supine CT colonography scans based on statistical curvature information.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Detection of anatomical landmarks in human colon from computed tomographic colonography images.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
2007
Proceedings of the Medical Imaging 2007: Image Processing, 2007
Proceedings of the Medical Imaging 2007: Image Processing, 2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Validating Pareto optimal operation parameters of polyp detection algorithms for CT colonography.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Computer Aided Detection of Lytic Bone Metastases in the Spine Using Routine CT Images.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Proceedings of the International Conference on Image Processing, 2007
2006
Int. J. Artif. Intell. Tools, 2006
DCE-MRI Segmentation and Motion Correction Based on Active Contour Model and Forward Mapping.
Proceedings of the Seventh International Conference on Software Engineering, 2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
2005
Classification and calculation of breast fibroglandular tissue volume on SPGR fat suppressed MRI.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005
2004
Colonic polyp segmentation in CT colonography-based on fuzzy clustering and deformable models.
IEEE Trans. Medical Imaging, 2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
2003
Non-Rigid Registration And Correspondence Finding In Medical Image Analysis Using Multiple-Layer Flexible Mesh Template Matching.
Int. J. Pattern Recognit. Artif. Intell., 2003
A multiple-layer flexible mesh template matching method for non-rigid registration between a pelvis model and CT images.
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Assessing Accuracy Factors in Deformable 2D/3D Medical Image Registration Using a Statistical Pelvis Model.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003
2001
Proceedings of the Medical Imaging 2001: Image Processing, 2001
2000
Tetrahedral Mesh Modeling of Density Data for Anatomical Atlases and Intensity-Based Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000
1999
Computer-integrated revision total hip replacement surgery: concept and preliminary results.
Medical Image Anal., 1999
A Progressive Cut Refinement Scheme for Revision Total Hip Replacement Surgery Using C-arm Fluoroscopy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999