Optimized sampling and parameter estimation for quantification in whole body PET. - Kevin Ho-Shon; Dagan Feng 001; Randall A. Hawkins; Steven R. Meikle; Michael J. Fulham; Xianjin Li (IEEE Trans. Biomed. Eng., 1996)

Functional Segmentation of Dynamic Emission Tomographic images. - Koon-Pong Wong; David Dagan Feng; Steven R. Meikle; Michael J. Fulham (VIP, 2000)

Non-Invasive estimation of Cerebral Metabolic Rate of Glucose Using Simultaneous Estimation and Cluster Analysis: A feasibility Study. - Koon-Pong Wong; David Dagan Feng; Steven R. Meikle; Michael J. Fulham (VIP, 2000)

Numerical Deconvolution by a Monte Carlo Approach with Application to Dynamic Cardiac Perfusion Tc-99m SPECT. - Koon-Pong Wong; Steven R. Meikle; David Dagan Feng; Michael J. Fulham (VIP, 2001)

Simultaneous estimation of physiological parameters and the input function - in vivo PET data. - Koon-Pong Wong; David Dagan Feng; Steven R. Meikle; Michael J. Fulham (IEEE Trans. Inf. Technol. Biomed., 2001)

Classification of dementia from FDG-PET parametric images using data mining. - Lingfeng Wen; Michael Bewley; Stefan Eberl; Michael J. Fulham; David Dagan Feng (ISBI, 2008)

Adaptive fuzzy clustering in constructing parametric images for low SNR functional imaging. - Lingfeng Wen; Stefan Eberl; Michael J. Fulham; David Dagan Feng; Jing Bai (MMSP, 2008)

Segmentation of dual modality brain PET/CT images using the MAP-MRF model. - Yong Xia 001; Lingfeng Wen; Stefan Eberl; Michael J. Fulham; David Dagan Feng (MMSP, 2008)

Enhanced parameter estimation methods for noisy SPECT data. - Lingfeng Wen; Stefan Eberl; Hon-Chit Choi; David Dagan Feng; Michael J. Fulham (Comput. Methods Programs Biomed., 2008)

Automated detection and delineation of lung tumors in PET-CT volumes using a lung atlas and iterative mean-SUV threshold. - Cherry G. Ballangan; Xiuying Wang 001; Stefan Eberl; Michael J. Fulham; Dagan Feng 001 (Image Processing, 2009)

Segmentation of brain PET-CT images based on adaptive use of complementary information. - Yong Xia 001; Lingfeng Wen; Stefan Eberl; Michael J. Fulham; Dagan Feng 001 (Image Processing, 2009)

Constructing Reliable Parametric Images Using Enhanced GLLS for Dynamic SPECT. - Lingfeng Wen; Stefan Eberl; Michael J. Fulham; David Dagan Feng; Jing Bai (IEEE Trans. Biomed. Eng., 2009)

Localized multiscale texture based retrieval of neurological image. - Sidong Liu; Lei Jing; Weidong Cai 001; Lingfeng Wen; Stefan Eberl; Michael J. Fulham; David Dagan Feng (CBMS, 2010)

A content-based image retrieval framework for multi-modality lung images. - Yang Song 001; Weidong Cai 001; Stefan Eberl; Michael J. Fulham; David Dagan Feng (CBMS, 2010)

Structure-Adaptive Feature Extraction and Representation for Multi-modality Lung Images Retrieval. - Yang Song 001; Weidong Cai 001; Stefan Eberl; Michael J. Fulham; David Dagan Feng (DICTA, 2010)

3D neurological image retrieval with localized pathology-centric CMRGlc patterns. - Weidong Cai 001; Sidong Liu; Lingfeng Wen; Stefan Eberl; Michael J. Fulham; David Dagan Feng (ICIP, 2010)

Fully automated liver segmentation for low- and high- contrast CT volumes based on probabilistic atlases. - ChangYang Li; Xiuying Wang 001; Stefan Eberl; Michael J. Fulham; Yong Yin; David Dagan Feng (ICIP, 2010)

Automated lung tumor segmentation for whole body PET volume based on novel downhill region growing. - Cherry G. Ballangan; Xiuying Wang 001; Stefan Eberl; Michael J. Fulham; Dagan Feng 001 (Image Processing, 2010)

Generalized regional disorder-sensitive-weighting scheme for 3D neuroimaging retrieval. - Sidong Liu; Weidong Cai 001; Lingfeng Wen; Stefan Eberl; Michael J. Fulham; David Dagan Feng (EMBC, 2011)

Thoracic image matching with appearance and spatial distribution. - Yang Song 001; Weidong Cai 001; Stefan Eberl; Michael J. Fulham; David Dagan Feng (EMBC, 2011)

Brain tissue segmentation in PET-CT images using probabilistic atlas and variational Bayes inference. - Yong Xia 001; Jiabin Wang; Stefan Eberl; Michael J. Fulham; David Dagan Feng (EMBC, 2011)

Lung tumor delineation in PET-CT images using a downhill region growing and a Gaussian mixture model. - Cherry G. Ballangan; Xiuying Wang 001; Michael J. Fulham; Stefan Eberl; David Dagan Feng (ICIP, 2011)

Localized functional neuroimaging retrieval using 3D discrete curvelet transform. - Sidong Liu; Weidong Cai 001; Lingfeng Wen; Stefan Eberl; Michael J. Fulham; David Dagan Feng (ISBI, 2011)

Thoracic image case retrieval with spatial and contextual information. - Yang Song 001; Weidong Cai 001; Stefan Eberl; Michael J. Fulham; David Dagan Feng (ISBI, 2011)

Discriminative Pathological Context Detection in Thoracic Images Based on Multi-level Inference. - Yang Song 001; Weidong Cai 001; Stefan Eberl; Michael J. Fulham; David Dagan Feng (MICCAI (3), 2011)

Automated Delineation of Lung Tumors in PET Images Based on Monotonicity and a Tumor-Customized Criterion. - Cherry G. Ballangan; Xiuying Wang 001; Michael J. Fulham; Stefan Eberl; Yong Yin; David Dagan Feng (IEEE Trans. Inf. Technol. Biomed., 2011)

Graph-based retrieval of multi-modality medical images: A comparison of representations using simulated images. - Ashnil Kumar; Jinman Kim; Dagan Feng 001; Michael J. Fulham (CBMS, 2012)

Dual-modality brain PET-CT image segmentation based on adaptive use of functional and anatomical information. - Yong Xia 001; Stefan Eberl; Lingfeng Wen; Michael J. Fulham; David Dagan Feng (Comput. Medical Imaging Graph., 2012)

Graph-based retrieval of PET-CT images using vector space embedding. - Ashnil Kumar; Jinman Kim; Dagan Feng 001; Michael J. Fulham (CBMS, 2013)

A web-based medical multimedia visualisation interface for personal health records. - Michael de Ridder; Liviu Constantinescu; Lei Bi 001; Younhyun Jung; Ashnil Kumar; Jinman Kim; David Dagan Feng; Michael J. Fulham (CBMS, 2013)

Automated Segmentation of Prostate MR Images Using Prior Knowledge Enhanced Random Walker. - Ang Li; ChangYang Li; Xiuying Wang 001; Stefan Eberl; David Dagan Feng; Michael J. Fulham (DICTA, 2013)

Cellular automata and anisotropic diffusion filter based interactive tumor segmentation for positron emission tomography. - Lei Bi 001; Jinman Kim; Lingfeng Wen; Ashnil Kumar; Michael J. Fulham; David Dagan Feng (EMBC, 2013)

Prior knowledge enhanced random walk for lung tumor segmentation from low-contrast CT images. - Hui Cui 002; Xiuying Wang 001; Michael J. Fulham; David Dagan Feng (EMBC, 2013)

Similarity Guided Feature Labeling for Lesion Detection. - Yang Song 001; Weidong Cai 001; Heng Huang; Xiaogang Wang 001; Stefan Eberl; Michael J. Fulham; Dagan Feng 001 (MICCAI (1), 2013)

Designing user interfaces to enhance human interpretation of medical content-based image retrieval: application to PET-CT images. - Ashnil Kumar; Jinman Kim; Lei Bi 001; Michael J. Fulham; Dagan Feng 001 (Int. J. Comput. Assist. Radiol. Surg., 2013)

Lung tumor segmentation in PET images using graph cuts. - Cherry G. Ballangan; Xiuying Wang 001; Michael J. Fulham; Stefan Eberl; David Dagan Feng (Comput. Methods Programs Biomed., 2013)

Content-Based Medical Image Retrieval: A Survey of Applications to Multidimensional and Multimodality Data. - Ashnil Kumar; Jinman Kim; Weidong Cai 001; Michael J. Fulham; Dagan Feng 001 (J. Digit. Imaging, 2013)

A Likelihood and Local Constraint Level Set Model for Liver Tumor Segmentation from CT Volumes. - ChangYang Li; Xiuying Wang 001; Stefan Eberl; Michael J. Fulham; Yong Yin; Jinhu Chen; David Dagan Feng (IEEE Trans. Biomed. Eng., 2013)

Robust Model for Segmenting Images With/Without Intensity Inhomogeneities. - ChangYang Li; Xiuying Wang 001; Stefan Eberl; Michael J. Fulham; David Dagan Feng (IEEE Trans. Image Process., 2013)

A New Energy Framework With Distribution Descriptors for Image Segmentation. - ChangYang Li; Xiuying Wang 001; Stefan Eberl; Michael J. Fulham; Dagan Feng 001 (IEEE Trans. Image Process., 2013)

Corrections to "Robust Model for Segmenting Images With/Without Intensity Inhomogeneities" [August 13 3296-3309]. - ChangYang Li; Xiuying Wang 001; Stefan Eberl; Michael J. Fulham; David Dagan Feng (IEEE Trans. Image Process., 2013)

Joint Probabilistic Model of Shape and Intensity for Multiple Abdominal Organ Segmentation From Volumetric CT Images. - ChangYang Li; Xiuying Wang 001; Junli Li; Stefan Eberl; Michael J. Fulham; Yong Yin; David Dagan Feng (IEEE J. Biomed. Health Informatics, 2013)

Visibility-driven PET-CT visualisation with region of interest (ROI) segmentation. - Younhyun Jung; Jinman Kim; Stefan Eberl; Michael J. Fulham; David Dagan Feng (Vis. Comput., 2013)

Creating Graph Abstractions for the Interpretation of Combined Functional and Anatomical Medical Images. - Ashnil Kumar; Jinman Kim; Michael J. Fulham; David Dagan Feng (ED/GViP@Diagrams, 2014)

Classification of thresholded regions based on selective use of PET, CT and PET-CT image features. - Lei Bi 001; Jinman Kim; David Dagan Feng; Michael J. Fulham (EMBC, 2014)

Opacity-driven volume clipping for slice of interest (SOI) visualisation of multi-modality PET-CT volumes. - Younhyun Jung; Jinman Kim; Michael J. Fulham; David Dagan Feng (EMBC, 2014)

Efficient PET-CT image retrieval using graphs embedded into a vector space. - Ashnil Kumar; Jinman Kim; Michael J. Fulham; Dagan Feng 001 (EMBC, 2014)

A new statistical and Dirichlet integral framework applied to liver segmentation from volumetric CT images. - ChangYang Li; Ang Li; Xiuying Wang 001; Dagan Feng 001; Stefan Eberl; Michael J. Fulham (ICARCV, 2014)

Automated feedback extraction for medical imaging retrieval. - Weidong Cai 001; Fan Zhang 013; Yang Song 001; Sidong Liu; Lingfeng Wen; Stefan Eberl; Michael J. Fulham; Dagan Feng 001 (ISBI, 2014)

Topology constraint graph-based model for non-small-cell lung tumor segmentation from PET volumes. - Hui Cui 002; Xiuying Wang 001; Jianlong Zhou; Michael J. Fulham; Stefan Eberl; Dagan Feng 001 (ISBI, 2014)

A ranking-based lung nodule image classification method using unlabeled image knowledge. - Fan Zhang 013; Yang Song 001; Weidong Cai 001; Yun Zhou 006; Michael J. Fulham; Stefan Eberl; Shimin Shan; Dagan Feng 001 (ISBI, 2014)

Multi-stage Thresholded Region Classification for Whole-Body PET-CT Lymphoma Studies. - Lei Bi 001; Jinman Kim; David Dagan Feng; Michael J. Fulham (MICCAI (1), 2014)

Multi-Channel neurodegenerative pattern analysis and its application in Alzheimer's disease characterization. - Sidong Liu; Weidong Cai 001; Lingfeng Wen; David Dagan Feng; Sonia Pujol; Ron Kikinis; Michael J. Fulham; Stefan Eberl (Comput. Medical Imaging Graph., 2014)

A graph-based approach for the retrieval of multi-modality medical images. - Ashnil Kumar; Jinman Kim; Lingfeng Wen; Michael J. Fulham; Dagan Feng 001 (Medical Image Anal., 2014)

Lung Nodule Classification With Multilevel Patch-Based Context Analysis. - Fan Zhang 013; Yang Song 001; Weidong Cai 001; Min-Zhao Lee; Yun Zhou 006; Heng Huang; Shimin Shan; Michael J. Fulham; David Dagan Feng (IEEE Trans. Biomed. Eng., 2014)

Lesion Detection and Characterization With Context Driven Approximation in Thoracic FDG PET-CT Images of NSCLC Studies. - Yang Song 001; Weidong Cai 001; Heng Huang; Xiaogang Wang 001; Yun Zhou 006; Michael J. Fulham; David Dagan Feng (IEEE Trans. Medical Imaging, 2014)

A Locally Constrained Random Walk Approach for Airway Segmentation of Low-Contrast Computed Tomography (CT) Image. - Robin Huang; Lei Bi 001; ChangYang Li; Younhyun Jung; Jinman Kim; Michael J. Fulham; David Dagan Feng (DICTA, 2015)

Automated saliency-based lesion segmentation in dermoscopic images. - Euijoon Ahn; Lei Bi 001; Younhyun Jung; Jinman Kim; Changyang Li; Michael J. Fulham; David Dagan Feng (EMBC, 2015)

Automated thresholded region classification using a robust feature selection method for PET-CT. - Lei Bi 001; Jinman Kim; Lingfeng Wen; David Dagan Feng; Michael J. Fulham (ISBI, 2015)

Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders. - Sidong Liu; Weidong Cai 001; Siqi Liu 001; Fan Zhang 013; Michael J. Fulham; Dagan Feng 001; Sonia Pujol; Ron Kikinis (Brain Informatics, 2015)

Multimodal neuroimaging computing: the workflows, methods, and platforms. - Sidong Liu; Weidong Cai 001; Siqi Liu 001; Fan Zhang 013; Michael J. Fulham; Dagan Feng 001; Sonia Pujol; Ron Kikinis (Brain Informatics, 2015)

Morphometry-Based Longitudinal Neurodegeneration Simulation with MR Imaging. - Siqi Liu 001; Sidong Liu; Sonia Pujol; Ron Kikinis; Dagan Feng 001; Michael J. Fulham; Weidong Cai 001 (CoRR, 2015)

Supervised Variational Model With Statistical Inference and Its Application in Medical Image Segmentation. - ChangYang Li; Xiuying Wang 001; Stefan Eberl; Michael J. Fulham; Yong Yin; David Dagan Feng (IEEE Trans. Biomed. Eng., 2015)

Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease. - Siqi Liu 001; Sidong Liu; Weidong Cai 001; Hangyu Che; Sonia Pujol; Ron Kikinis; Dagan Feng 001; Michael J. Fulham (IEEE Trans. Biomed. Eng., 2015)

A Visual Analytics Approach Using the Exploration of Multidimensional Feature Spaces for Content-Based Medical Image Retrieval. - Ashnil Kumar; Falk Nette; Karsten Klein 001; Michael J. Fulham; Jinman Kim (IEEE J. Biomed. Health Informatics, 2015)

Large Margin Local Estimate With Applications to Medical Image Classification. - Yang Song 001; Tom Weidong Cai; Heng Huang; Yun Zhou 006; David Dagan Feng; Yue Wang 021; Michael J. Fulham; Mei Chen (IEEE Trans. Medical Imaging, 2015)

Clique Identification and Propagation for Multimodal Brain Tumor Image Segmentation. - Sidong Liu; Yang Song 001; Fan Zhang 013; Dagan Feng 001; Michael J. Fulham; Tom Weidong Cai (BIH, 2016)

An intuitive Sketch-based Transfer Function Design via Contextual and Regional Labelling. - Younhyun Jung; Jinman Kim; Ashnil Kumar; Michael J. Fulham; David Feng 003 (CGI (Short Papers), 2016)

X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid. - Euijoon Ahn; Ashnil Kumar; Jinman Kim; ChangYang Li; Dagan Feng 001; Michael J. Fulham (ISBI, 2016)

Automatic melanoma detection via multi-scale lesion-biased representation and joint reverse classification. - Lei Bi 001; Jinman Kim; Euijoon Ahn; Dagan Feng 001; Michael J. Fulham (ISBI, 2016)

Automated skin lesion segmentation via image-wise supervised learning and multi-scale superpixel based cellular automata. - Lei Bi 001; Jinman Kim; Euijoon Ahn; Dagan Feng 001; Michael J. Fulham (ISBI, 2016)

Primary lung tumor segmentation from PET-CT volumes with spatial-topological constraint. - Hui Cui 002; Xiuying Wang 001; Weiran Lin; Jianlong Zhou; Stefan Eberl; Dagan Feng 001; Michael J. Fulham (Int. J. Comput. Assist. Radiol. Surg., 2016)

Efficient visibility-driven medical image visualisation via adaptive binned visibility histogram. - Younhyun Jung; Jinman Kim; Ashnil Kumar; David Dagan Feng; Michael J. Fulham (Comput. Medical Imaging Graph., 2016)

Adapting content-based image retrieval techniques for the semantic annotation of medical images. - Ashnil Kumar; Shane Dyer; Jinman Kim; Changyang Li; Philip Heng Wai Leong; Michael J. Fulham; Dagan Feng 001 (Comput. Medical Imaging Graph., 2016)

Dictionary pruning with visual word significance for medical image retrieval. - Fan Zhang 013; Yang Song 001; Weidong Cai 001; Alexander G. Hauptmann; Sidong Liu; Sonia Pujol; Ron Kikinis; Michael J. Fulham; David Dagan Feng; Mei Chen (Neurocomputing, 2016)

Pairwise Latent Semantic Association for Similarity Computation in Medical Imaging. - Fan Zhang 013; Yang Song 001; Weidong Cai 001; Sidong Liu; Siqi Liu 001; Sonia Pujol; Ron Kikinis; Yong Xia 001; Michael J. Fulham; David Dagan Feng (IEEE Trans. Biomed. Eng., 2016)

Multi-view collaborative segmentation for prostate MRI images. - Xiuying Wang 001; Wensi Tang; Hui Cui 002; Shan Zeng; David Dagan Feng; Michael J. Fulham (EMBC, 2017)

Semi-automatic skin lesion segmentation via fully convolutional networks. - Lei Bi 001; Jinman Kim; Euijoon Ahn; Dagan Feng 001; Michael J. Fulham (ISBI, 2017)

Adrenal lesions detection on low-contrast CT images using fully convolutional networks with multi-scale integration. - Lei Bi 001; Jinman Kim; Tingwei Su; Michael J. Fulham; Dagan Feng 001; Guang Ning (ISBI, 2017)

Prostate segmentation in MR images using ensemble deep convolutional neural networks. - Haozhe Jia; Yong Xia 001; Tom Weidong Cai; Michael J. Fulham; David Dagan Feng (ISBI, 2017)

Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs). - Lei Bi 001; Jinman Kim; Ashnil Kumar; Dagan Feng 001; Michael J. Fulham (CMMI/RAMBO/SWITCH@MICCAI, 2017)

Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT. - Yutong Xie 001; Yong Xia 001; Jianpeng Zhang; David Dagan Feng; Michael J. Fulham; Weidong Cai 001 (MICCAI (3), 2017)

Cell image segmentation using bacterial foraging optimization. - Yongsheng Pan; Yong Xia 001; Tao Zhou 009; Michael J. Fulham (Appl. Soft Comput., 2017)

Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies. - Lei Bi 001; Jinman Kim; Ashnil Kumar; Lingfeng Wen; Dagan Feng 001; Michael J. Fulham (Comput. Medical Imaging Graph., 2017)

Early identification of mild cognitive impairment using incomplete random forest-robust support vector machine and FDG-PET imaging. - Shen Lu; Yong Xia 001; Weidong Cai 001; Michael J. Fulham; David Dagan Feng (Comput. Medical Imaging Graph., 2017)

An unsupervised long short-term memory neural network for event detection in cell videos. - Ha Tran Hong Phan; Ashnil Kumar; David Feng 003; Michael J. Fulham; Jinman Kim (CoRR, 2017)

Automatic segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation. - Afaf Tareef; Yang Song 001; Weidong Cai 001; Heng Huang; Hang Chang; Yue Wang 021; Michael J. Fulham; Dagan Feng 001; Mei Chen (Neurocomputing, 2017)

Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks. - Lei Bi 001; Jinman Kim; Euijoon Ahn; Ashnil Kumar; Michael J. Fulham; Dagan Feng 001 (IEEE Trans. Biomed. Eng., 2017)

Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images. - Euijoon Ahn; Jinman Kim; Lei Bi 001; Ashnil Kumar; Changyang Li; Michael J. Fulham; David Dagan Feng (IEEE J. Biomed. Health Informatics, 2017)

Occlusion and Slice-Based Volume Rendering Augmentation for PET-CT. - Younhyun Jung; Jinman Kim; Dagan Feng 001; Michael J. Fulham (IEEE J. Biomed. Health Informatics, 2017)

An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification. - Ashnil Kumar; Jinman Kim; David Lyndon; Michael J. Fulham; David Dagan Feng (IEEE J. Biomed. Health Informatics, 2017)

Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation. - Lei Bi 001; Jinman Kim; Ashnil Kumar; Michael J. Fulham; Dagan Feng 001 (Vis. Comput., 2017)

Cross-cohort dementia identification using transfer learning with FDG-PET imaging. - Shen Lu; Yong Xia 001; Weidong Cai 001; David Dagan Feng; Michael J. Fulham (ISBI, 2018)

Feature of Interest-Based Direct Volume Rendering Using Contextual Saliency-Driven Ray Profile Analysis. - Younhyun Jung; Jinman Kim; Ashnil Kumar; David Dagan Feng; Michael J. Fulham (Comput. Graph. Forum, 2018)

A topo-graph model for indistinct target boundary definition from anatomical images. - Hui Cui 002; Xiuying Wang 001; Jianlong Zhou; Guanzhong Gong; Stefan Eberl; Yong Yin; Lisheng Wang; Dagan Feng 001; Michael J. Fulham (Comput. Methods Programs Biomed., 2018)

Sparsity-based Convolutional Kernel Network for Unsupervised Medical Image Analysis. - Euijoon Ahn; Jinman Kim; Ashnil Kumar; Michael J. Fulham; Dagan Feng 001 (CoRR, 2018)

3D Global Convolutional Adversarial Network for Prostate MR Volume Segmentation. - Haozhe Jia; Yang Song 001; Donghao Zhang; Heng Huang; Dagan Feng 001; Michael J. Fulham; Yong Xia 001; Weidong Cai 001 (CoRR, 2018)

Atlas registration and ensemble deep convolutional neural network-based prostate segmentation using magnetic resonance imaging. - Haozhe Jia; Yong Xia 001; Yang Song 001; Weidong Cai 001; Michael J. Fulham; David Dagan Feng (Neurocomputing, 2018)

Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT. - Yutong Xie 001; Jianpeng Zhang; Yong Xia 001; Michael J. Fulham; Yanning Zhang 001 (Inf. Fusion, 2018)

Classification of Medical Images in the Biomedical Literature by Jointly Using Deep and Handcrafted Visual Features. - Jianpeng Zhang; Yong Xia 001; Yutong Xie 001; Michael J. Fulham; David Dagan Feng (IEEE J. Biomed. Health Informatics, 2018)

Deep multi-modality collaborative learning for distant metastases predication in PET-CT soft-tissue sarcoma studies. - Yige Peng; Lei Bi 001; Yuyu Guo 002; Dagan Feng 001; Michael J. Fulham; Jinman Kim (EMBC, 2019)

Unsupervised Deep Transfer Feature Learning for Medical Image Classification. - Euijoon Ahn; Ashnil Kumar; Dagan Feng 001; Michael J. Fulham; Jinman Kim (ISBI, 2019)

Improving Skin Lesion Segmentation via Stacked Adversarial Learning. - Lei Bi 001; Dagan Feng 001; Michael J. Fulham; Jinman Kim (ISBI, 2019)

Optimizing Contextual Feature Learning for Mitosis Detection with Convolutional Recurrent Neural Networks. - Ha Tran Hong Phan; Ashnil Kumar; Dagan Feng 001; Michael J. Fulham; Jinman Kim (ISBI, 2019)

A web-based multidisciplinary team meeting visualisation system. - Hoijoon Jung; Younhyun Jung; David Dagan Feng; Michael J. Fulham; Jinman Kim (Int. J. Comput. Assist. Radiol. Surg., 2019)

A direct volume rendering visualization approach for serial PET-CT scans that preserves anatomical consistency. - Younhyun Jung; Jinman Kim; Lei Bi 001; Ashnil Kumar; David Dagan Feng; Michael J. Fulham (Int. J. Comput. Assist. Radiol. Surg., 2019)

A propagation-DNN: Deep combination learning of multi-level features for MR prostate segmentation. - Ke Yan 005; Xiuying Wang 001; Jinman Kim; Mohamed Khadra; Michael J. Fulham; Dagan Feng 001 (Comput. Methods Programs Biomed., 2019)

Automated Segmentation of the Optic Disk and Cup using Dual-Stage Fully Convolutional Networks. - Lei Bi 001; Yuyu Guo 002; Qian Wang 001; Dagan Feng 001; Michael J. Fulham; Jinman Kim (CoRR, 2019)

Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification. - Euijoon Ahn; Ashnil Kumar; Dagan Feng 001; Michael J. Fulham; Jinman Kim (CoRR, 2019)

Semi-supervised estimation of event temporal length for cell event detection. - Ha Tran Hong Phan; Ashnil Kumar; David Feng 003; Michael J. Fulham; Jinman Kim (CoRR, 2019)

Convolutional sparse kernel network for unsupervised medical image analysis. - Euijoon Ahn; Ashnil Kumar; Michael J. Fulham; Dagan Feng 001; Jinman Kim (Medical Image Anal., 2019)

Step-wise integration of deep class-specific learning for dermoscopic image segmentation. - Lei Bi 001; Jinman Kim; Euijoon Ahn; Ashnil Kumar; Dagan Feng 001; Michael J. Fulham (Pattern Recognit., 2019)

Unsupervised Two-Path Neural Network for Cell Event Detection and Classification Using Spatiotemporal Patterns. - Ha Tran Hong Phan; Ashnil Kumar; David Feng 003; Michael J. Fulham; Jinman Kim (IEEE Trans. Medical Imaging, 2019)

Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT. - Yutong Xie 001; Yong Xia 001; Jianpeng Zhang; Yang Song 001; Dagan Feng 001; Michael J. Fulham; Weidong Cai 001 (IEEE Trans. Medical Imaging, 2019)

Unsupervised Positron Emission Tomography Tumor Segmentation via GAN based Adversarial Auto-Encoder. - Xinheng Wu; Lei Bi 001; Michael J. Fulham; Jinman Kim (ICARCV, 2020)

Multi-modality Information Fusion for Radiomics-Based Neural Architecture Search. - Yige Peng; Lei Bi 001; Michael J. Fulham; Dagan Feng 001; Jinman Kim (MICCAI (7), 2020)

Multi-Label classification of multi-modality skin lesion via hyper-connected convolutional neural network. - Lei Bi 001; David Dagan Feng; Michael J. Fulham; Jinman Kim (Pattern Recognit., 2020)

Unsupervised Domain Adaptation to Classify Medical Images Using Zero-Bias Convolutional Auto-Encoders and Context-Based Feature Augmentation. - Euijoon Ahn; Ashnil Kumar; Michael J. Fulham; Dagan Feng 001; Jinman Kim (IEEE Trans. Medical Imaging, 2020)

Co-Learning Feature Fusion Maps From PET-CT Images of Lung Cancer. - Ashnil Kumar; Michael J. Fulham; Dagan Feng 001; Jinman Kim (IEEE Trans. Medical Imaging, 2020)

Recurrent feature fusion learning for multi-modality pet-ct tumor segmentation. - Lei Bi 001; Michael J. Fulham; Nan Li; Qiufang Liu; Shaoli Song; David Dagan Feng; Jinman Kim (Comput. Methods Programs Biomed., 2021)

Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT. - Xiaohang Fu; Lei Bi 001; Ashnil Kumar; Michael J. Fulham; Jinman Kim (CoRR, 2021)

Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning. - Yige Peng; Lei Bi 001; Ashnil Kumar; Michael J. Fulham; Dagan Feng 001; Jinman Kim (CoRR, 2021)

Spatio-Temporal Dual-Stream Neural Network for Sequential Whole-Body PET Segmentation. - Kai-Chieh Liang; Lei Bi 001; Ashnil Kumar; Michael J. Fulham; Jinman Kim (CoRR, 2021)

Unsupervised brain tumor segmentation using a symmetric-driven adversarial network. - Xinheng Wu; Lei Bi 001; Michael J. Fulham; David Dagan Feng; Luping Zhou; Jinman Kim (Neurocomputing, 2021)

Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation. - Xiaohang Fu; Lei Bi 001; Ashnil Kumar; Michael J. Fulham; Jinman Kim (IEEE J. Biomed. Health Informatics, 2021)

Deep multi-scale resemblance network for the sub-class differentiation of adrenal masses on computed tomography images. - Lei Bi 001; Jinman Kim; Tingwei Su; Michael J. Fulham; David Dagan Feng; Guang Ning (Artif. Intell. Medicine, 2022)

Mixed reality hologram slicer (mxdR-HS): a marker-less tangible user interface for interactive holographic volume visualization. - Hoijoon Jung; Younhyun Jung; Michael J. Fulham; Jinman Kim (CoRR, 2022)

Hyper-Connected Transformer Network for Co-Learning Multi-Modality PET-CT Features. - Lei Bi 001; Xiaohang Fu; Qiufang Liu; Shaoli Song; David Dagan Feng; Michael J. Fulham; Jinman Kim (CoRR, 2022)

Hyper-fusion network for semi-automatic segmentation of skin lesions. - Lei Bi 001; Michael J. Fulham; Jinman Kim (Medical Image Anal., 2022)

Enhancing medical image registration via appearance adjustment networks. - Mingyuan Meng; Lei Bi 001; Michael J. Fulham; David Dagan Feng; Jinman Kim (NeuroImage, 2022)

An attention-enhanced cross-task network to analyse lung nodule attributes in CT images. - Xiaohang Fu; Lei Bi 001; Ashnil Kumar; Michael J. Fulham; Jinman Kim (Pattern Recognit., 2022)

Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images. - Xiaohang Fu; Lei Bi 001; Ashnil Kumar; Michael J. Fulham; Jinman Kim (IEEE Trans. Medical Imaging, 2022)

Hyper-Connected Transformer Network for Multi-Modality PET-CT Segmentation. - Lei Bi 001; Michael J. Fulham; Shaoli Song; David Dagan Feng; Jinman Kim (EMBC, 2023)

Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer. - Mingyuan Meng; Lei Bi 001; Michael J. Fulham; David Feng 003; Jinman Kim (MICCAI (6), 2023)

Non-iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration. - Mingyuan Meng; Lei Bi 001; Michael J. Fulham; David Dagan Feng; Jinman Kim (MICCAI (10), 2023)

DeepMSS: Deep Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images. - Mingyuan Meng; Bingxin Gu; Michael J. Fulham; Shaoli Song; Dagan Feng 001; Lei Bi 001; Jinman Kim (CoRR, 2023)

PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network. - Yuxin Xue; Lei Bi 001; Yige Peng; Michael J. Fulham; David Dagan Feng; Jinman Kim (CoRR, 2023)

CT-based Radiogenomics Framework for COVID-19 Using ACE2 Imaging Representations. - Tian Xia; Xiaohang Fu; Michael J. Fulham; Yue Wang 021; David Feng 003; Jinman Kim (J. Digit. Imaging, 2023)

Mixed Reality Hologram Slicer (mxdR-HS): A Markerless Tangible User Interface for Interactive Holographic Medical Volume Visualization. - Hoijoon Jung; Younhyun Jung; Michael J. Fulham; Jinman Kim (CGI (3), 2024)

Enhancing medical vision-language contrastive learning via inter-matching relation modelling. - Mingjian Li; Mingyuan Meng; Michael J. Fulham; David Dagan Feng; Lei Bi 001; Jinman Kim (CoRR, 2024)

Advancing Deformable Medical Image Registration with Multi-axis Cross-covariance Attention. - Mingyuan Meng; Michael J. Fulham; Lei Bi 001; Jinman Kim (CoRR, 2024)

Importance-aware 3D volume visualization for medical content-based image retrieval-a preliminary study. - Mingjian Li; Younhyun Jung; Michael J. Fulham; Jinman Kim (Virtual Real. Intell. Hardw., 2024)

AutoFuse: Automatic fusion networks for deformable medical image registration. - Mingyuan Meng; Michael J. Fulham; Dagan Feng 001; Lei Bi 001; Jinman Kim (Pattern Recognit., 2025)

A Generative Adversarial Network for Upsampling of Direct Volume Rendering Images. - Ge Jin 001; Younhyun Jung; Michael J. Fulham; Dagan Feng 001; Jinman Kim (Comput. Graph. Forum, 2025)

MAISY: Motion-Aware Image SYnthesis for Medical Image Motion Correction. - Andrew Zhang; Hao Wang 143; Shuchang Ye; Michael J. Fulham; Jinman Kim (CoRR, 2025)

Enhancing Medical Vision-Language Contrastive Learning via Inter-Matching Relation Modeling. - Mingjian Li; Mingyuan Meng; Michael J. Fulham; David Dagan Feng; Lei Bi 001; Jinman Kim (IEEE Trans. Medical Imaging, 2025)