Jianhua Yao

Orcid: 0000-0001-9157-9596

Affiliations:
  • 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 271 papers between 1999 and 2024.

Collaborative distances:

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Bibliography

2024
Deep Spatio-Temporal Network for Low-SNR Cryo-EM Movie Frame Enhancement.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Current opinions on large cellular models.
Quant. Biol., 2024

Meta-Learn Unimodal Signals with Weak Supervision for Multimodal Sentiment Analysis.
CoRR, 2024

Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning.
CoRR, 2024

SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models.
CoRR, 2024

Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation.
CoRR, 2024

Functional Protein Design with Local Domain Alignment.
CoRR, 2024

Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Broad Physical Dynamics Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

StableMask: Refining Causal Masking in Decoder-only Transformer.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Knowledge-aware Reinforced Language Models for Protein Directed Evolution.
Proceedings of the Forty-first International Conference on Machine Learning, 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

DNAGPT: A Generalized Pretrained Tool for Multiple DNA Sequence Analysis Tasks.
CoRR, 2023

Reweighted Mixup for Subpopulation Shift.
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

An Unsupervised Multispectral Image Registration Network for Skin Diseases.
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

Learning with Noisy Labels over Imbalanced Subpopulations.
CoRR, 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

TreeMoCo: Contrastive Neuron Morphology Representation Learning.
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

Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification.
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

3D Brain Midline Delineation for Hematoma Patients.
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

New Boundary Constraint Loss to Facilitate Glands Segmentation.
J. Medical Imaging Health Informatics, 2020

Unsupervised domain adaptation with adversarial learning for mass detection in mammogram.
Neurocomputing, 2020

Blind deblurring for microscopic pathology images using deep learning networks.
CoRR, 2020

Microscope Based HER2 Scoring System.
CoRR, 2020

COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19.
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

Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Supervised Augmentation: Leverage Strong Annotation for Limited Data.
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

Efficient Mitosis Detection in Breast Cancer Histology Images by RCNN.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Tumor Growth Prediction Using Convolutional Networks.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018
Convolutional Invasion and Expansion Networks for Tumor Growth Prediction.
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

Tracking diaphragm and chest wall movement on cine-MRI.
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

Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database.
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

DeepPap: Deep Convolutional Networks for Cervical Cell Classification.
IEEE J. Biomed. Health Informatics, 2017

CorteXpert: A model-based method for automatic renal cortex segmentation.
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

Personalized Pancreatic Tumor Growth Prediction via Group Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Holistic Segmentation of Intermuscular Adipose Tissues on Thigh MRI.
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

Retrieval, visualization, and mining of large radiation dosage data.
Inf. Retr. J., 2016

Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database.
CoRR, 2016

A multi-center milestone study of clinical vertebral CT segmentation.
Comput. Medical Imaging Graph., 2016

Regional infarction identification from cardiac CT images: a computer-aided biomechanical approach.
Int. J. Comput. Assist. Radiol. Surg., 2016

CT thermometry for cone-beam CT guided ablation.
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

Improving vertebra segmentation through joint vertebra-rib atlases.
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

Osteoporotic and neoplastic compression fracture classification on longitudinal CT.
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

Computer-aided detection of exophytic renal lesions on non-contrast CT images.
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

Dynamic cortex stripping for vertebra evaluation.
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

Anatomy-specific classification of medical images using deep convolutional nets.
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

Interleaved text/image Deep Mining on a large-scale radiology database.
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

Patient specific tumor growth prediction using multimodal images.
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

Computer aided detection of epidural masses on computed tomography scans.
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

Robust automated lymph node segmentation with random forests.
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
Mesenteric Vasculature-Guided Small Bowel Segmentation on 3-D CT.
IEEE Trans. Medical Imaging, 2013

Automatic Segmentation and Measurement of Pleural Effusions on CT.
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

Build 4-dimensional myocardial model for dynamic CT images.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Manifold Diffusion for Exophytic Kidney Lesion Detection on Non-contrast CT Images.
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

Multimodal Image Driven Patient Specific Tumor Growth Modeling.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Computer assisted measurement of femoral cortex thickening on radiographs.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Detection of vertebral degenerative disc disease based on cortical shell unwrapping.
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

Computer-aided detection of colitis on computed tomography using a visual codebook.
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

Tumor growth modeling based on dual phase CT and FDG-PET.
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

Automatic Detection and Quantification of Tree-in-Bud (TIB) Opacities From CT Scans.
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

Computer-assisted detection of infectious lung diseases: A review.
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

Detection of Vertebral Body Fractures Based on Cortical Shell Unwrapping.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

A Fully Automated Framework for Renal Cortex Segmentation.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2012

Co-segmentation of Functional and Anatomical Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Quantitative vertebral compression fracture evaluation using a height compass.
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

Computer-aided marginal artery detection on computed tomographic colonography.
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

Sclerotic rib metastases detection on routine CT images.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Supine and prone CT colonography registration by matching graphs of teniae coli.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

ROC-like optimization by sample ranking: Application to CT colonography.
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

Automated detection of pelvic fractures from volumetric CT images.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Automatic quantification of Tree-in-Bud patterns from CT scans.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Integration of a Multigrid ODE solver into an open medical simulation framework.
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

Point-guided modeling and segmentation of myocardium for low dose cardiac CT images.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

A cross-platform and distributive database system for cumulative tumor measurement.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
FEM-Based 3-D Tumor Growth Prediction for Kidney Tumor.
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

Automatic 3D kidney segmentation based on shape constrained GC-OAAM.
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

Computer-aided abdominal lymph node detection using contrast-enhanced CT images.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Enhancing image classification models with multi-modal biomarkers.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Automatic colonic polyp shape determination using content-based image retrieval.
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

Improved 3D automatic segmentation and measurement of pleural effusions.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Detection of pelvic fractures using graph cuts and curvatures.
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

A graph-theoretic approach for segmentation of PET images.
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
Template-Based B <sub>1</sub> Inhomogeneity Correction in 3T MRI Brain Studies.
IEEE Trans. Medical Imaging, 2010

Reversible Projection Technique for Colon Unfolding.
IEEE Trans. Biomed. Eng., 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

Automated fat measurement and segmentation with intensity inhomogeneity correction.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

Realistic colon simulation in CT colonography using mesh skinning.
Proceedings of the Medical Imaging 2010: Visualization, 2010

Teniae Coli Extraction in Human Colon for Computed Tomographic Colonography Images.
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

Matching colonic polyps using correlation optimized warping.
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

FEM Based 3D Tumor Growth Prediction for Kidney Tumor.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

Automated measurement and segmentation of abdominal adipose tissue in MRI.
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

Tracking kidney tumor dimensional measurements via image morphing.
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

Renal tumor quantification and classification in contrast-enhanced abdominal CT.
Pattern Recognit., 2009

Breast Tumor Analysis in Dynamic Contrast Enhanced MRI Using Texture Features and Wavelet Transform.
IEEE J. Sel. Top. Signal Process., 2009

Introduction to the Issue on Digital Image Processing Techniques for Oncology.
IEEE J. Sel. Top. Signal Process., 2009

Employing anatomical knowledge in vertebral column labeling.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Statistical Location Model for Abdominal Organ Localization.
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

Computer Aided Evaluation of Pleural Effusion Using Chest CT Images.
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
Computer Aided Evaluation of Ankylosing Spondylitis Using High-Resolution CT.
IEEE Trans. Medical Imaging, 2008

Vertebral surface registration using ridgelines/crestlines.
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

Computer-aided grading of lymphangioleiomyomatosis (LAM) using HRCT.
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
Level sets on non-planar manifolds for ridge detection on isosurfaces.
Proceedings of the Medical Imaging 2007: Image Processing, 2007

Improved livewire method for segmentation on low contrast and noisy images.
Proceedings of the Medical Imaging 2007: Image Processing, 2007

Collaborative classifiers in CT colonography CAD.
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

Texture-based computer-aided diagnosis system for lung fibrosis.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

Detection and Segmentation of Colonic Polyps on Haustral Folds.
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

3D Multi-Scale Level Set Segmentation of Vertebrae.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

CT Colonography Computer-Aided Polyp Detection using Topographical Height Map.
Proceedings of the International Conference on Image Processing, 2007

2006
An Efficient Feature Selection Algorithm for Computer-aided Polyp Detection.
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

Computer aided lytic bone metastasis detection using regular CT images.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Level set based vertebra segmentation for the evaluation of Ankylosing Spondylitis.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Hybrid committee classifier for a computerized colonic polyp detection system.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Automatic colonic polyp detection using multi-objective evolutionary techniques.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Automated spinal column extraction and partitioning.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Computer aided evaluation of ankylosing spondylitis.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Wavelet method for CT colonography computer-aided polyp detection.
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

An Efficient Feature Selection Algorithm for Computer-Aided Polyp Detection.
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

Computer Aided Monitoring of Fibrous Dysplasia Disease in Craniofacial Bones.
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
Construction and simplification of bone density models.
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


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