default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMichael J. Fulham
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j63]Mingjian Li, Younhyun Jung, Michael J. Fulham, Jinman Kim:
Importance-aware 3D volume visualization for medical content-based image retrieval-a preliminary study. Virtual Real. Intell. Hardw. 6(1): 71-81 (2024)- [i26]Mingjian Li, Mingyuan Meng, Michael J. Fulham, David Dagan Feng, Lei Bi, Jinman Kim:
Enhancing medical vision-language contrastive learning via inter-matching relation modelling. CoRR abs/2401.10501 (2024) - 2023
- [j62]Tian Xia
, Xiaohang Fu, Michael J. Fulham, Yue Wang, David Feng, Jinman Kim:
CT-based Radiogenomics Framework for COVID-19 Using ACE2 Imaging Representations. J. Digit. Imaging 36(6): 2356-2366 (2023) - [c61]Lei Bi, Michael J. Fulham, Shaoli Song, David Dagan Feng, Jinman Kim:
Hyper-Connected Transformer Network for Multi-Modality PET-CT Segmentation. EMBC 2023: 1-4 - [c60]Mingyuan Meng, Lei Bi, Michael J. Fulham, David Feng, Jinman Kim:
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer. MICCAI (6) 2023: 400-410 - [c59]Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim:
Non-iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration. MICCAI (10) 2023: 750-760 - [i25]Mingyuan Meng, Bingxin Gu, Michael J. Fulham, Shaoli Song, Dagan Feng, Lei Bi, Jinman Kim:
DeepMSS: Deep Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images. CoRR abs/2305.09946 (2023) - [i24]Mingyuan Meng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim:
Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration. CoRR abs/2307.03421 (2023) - [i23]Mingyuan Meng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim:
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer. CoRR abs/2307.03427 (2023) - [i22]Mingyuan Meng, Michael J. Fulham, Dagan Feng, Lei Bi, Jinman Kim:
AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration. CoRR abs/2309.05271 (2023) - [i21]Yuxin Xue, Lei Bi, Yige Peng, Michael J. Fulham, David Dagan Feng, Jinman Kim:
PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network. CoRR abs/2310.15550 (2023) - 2022
- [j61]Lei Bi, Jinman Kim, Tingwei Su, Michael J. Fulham, David Dagan Feng, Guang Ning:
Deep multi-scale resemblance network for the sub-class differentiation of adrenal masses on computed tomography images. Artif. Intell. Medicine 132: 102374 (2022) - [j60]Lei Bi, Michael J. Fulham, Jinman Kim:
Hyper-fusion network for semi-automatic segmentation of skin lesions. Medical Image Anal. 76: 102334 (2022) - [j59]Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim:
Enhancing medical image registration via appearance adjustment networks. NeuroImage 259: 119444 (2022) - [j58]Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
An attention-enhanced cross-task network to analyse lung nodule attributes in CT images. Pattern Recognit. 126: 108576 (2022) - [j57]Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images. IEEE Trans. Medical Imaging 41(11): 3266-3277 (2022) - [i20]Hoijoon Jung, Younhyun Jung, Michael J. Fulham, Jinman Kim:
Mixed reality hologram slicer (mxdR-HS): a marker-less tangible user interface for interactive holographic volume visualization. CoRR abs/2201.10704 (2022) - [i19]Lei Bi, Xiaohang Fu, Qiufang Liu, Shaoli Song, David Dagan Feng, Michael J. Fulham, Jinman Kim:
Hyper-Connected Transformer Network for Co-Learning Multi-Modality PET-CT Features. CoRR abs/2210.15808 (2022) - 2021
- [j56]Lei Bi, Michael J. Fulham, Nan Li, Qiufang Liu, Shaoli Song, David Dagan Feng, Jinman Kim:
Recurrent feature fusion learning for multi-modality pet-ct tumor segmentation. Comput. Methods Programs Biomed. 203: 106043 (2021) - [j55]Xinheng Wu, Lei Bi, Michael J. Fulham, David Dagan Feng, Luping Zhou, Jinman Kim:
Unsupervised brain tumor segmentation using a symmetric-driven adversarial network. Neurocomputing 455: 242-254 (2021) - [j54]Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation. IEEE J. Biomed. Health Informatics 25(9): 3507-3516 (2021) - [i18]Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT. CoRR abs/2103.03931 (2021) - [i17]Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim:
Enhancing Medical Image Registration via Appearance Adjustment Networks. CoRR abs/2103.05213 (2021) - [i16]Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images. CoRR abs/2104.00201 (2021) - [i15]Yige Peng, Lei Bi, Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim:
Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning. CoRR abs/2104.11416 (2021) - [i14]Kai-Chieh Liang, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Spatio-Temporal Dual-Stream Neural Network for Sequential Whole-Body PET Segmentation. CoRR abs/2106.04961 (2021) - 2020
- [j53]Lei Bi, David Dagan Feng, Michael J. Fulham, Jinman Kim:
Multi-Label classification of multi-modality skin lesion via hyper-connected convolutional neural network. Pattern Recognit. 107: 107502 (2020) - [j52]Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim:
Co-Learning Feature Fusion Maps From PET-CT Images of Lung Cancer. IEEE Trans. Medical Imaging 39(1): 204-217 (2020) - [j51]Euijoon Ahn, Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim:
Unsupervised Domain Adaptation to Classify Medical Images Using Zero-Bias Convolutional Auto-Encoders and Context-Based Feature Augmentation. IEEE Trans. Medical Imaging 39(7): 2385-2394 (2020) - [c58]Xinheng Wu, Lei Bi, Michael J. Fulham, Jinman Kim:
Unsupervised Positron Emission Tomography Tumor Segmentation via GAN based Adversarial Auto-Encoder. ICARCV 2020: 448-453 - [c57]Yige Peng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim:
Multi-modality Information Fusion for Radiomics-Based Neural Architecture Search. MICCAI (7) 2020: 763-771 - [i13]Yige Peng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim:
Multi-Modality Information Fusion for Radiomics-based Neural Architecture Search. CoRR abs/2007.06002 (2020) - [i12]Lei Bi, Jinman Kim, Tingwei Su, Michael J. Fulham, David Dagan Feng, Guang Ning:
Deep Multi-Scale Resemblance Network for the Sub-class Differentiation of Adrenal Masses on Computed Tomography Images. CoRR abs/2007.14625 (2020) - [i11]Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation. CoRR abs/2007.14728 (2020)
2010 – 2019
- 2019
- [j50]Younhyun Jung, Jinman Kim, Lei Bi, Ashnil Kumar, David Dagan Feng, Michael J. Fulham:
A direct volume rendering visualization approach for serial PET-CT scans that preserves anatomical consistency. Int. J. Comput. Assist. Radiol. Surg. 14(5): 733-744 (2019) - [j49]Hoijoon Jung, Younhyun Jung, David Dagan Feng, Michael J. Fulham, Jinman Kim:
A web-based multidisciplinary team meeting visualisation system. Int. J. Comput. Assist. Radiol. Surg. 14(12): 2221-2231 (2019) - [j48]Ke Yan, Xiuying Wang, Jinman Kim, Mohamed Khadra, Michael J. Fulham, Dagan Feng:
A propagation-DNN: Deep combination learning of multi-level features for MR prostate segmentation. Comput. Methods Programs Biomed. 170: 11-21 (2019) - [j47]Euijoon Ahn, Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim:
Convolutional sparse kernel network for unsupervised medical image analysis. Medical Image Anal. 56: 140-151 (2019) - [j46]Lei Bi, Jinman Kim, Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham:
Step-wise integration of deep class-specific learning for dermoscopic image segmentation. Pattern Recognit. 85: 78-89 (2019) - [j45]Yutong Xie, Yong Xia, Jianpeng Zhang, Yang Song, Dagan Feng, Michael J. Fulham, Weidong Cai:
Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT. IEEE Trans. Medical Imaging 38(4): 991-1004 (2019) - [j44]Ha Tran Hong Phan, Ashnil Kumar, David Feng, Michael J. Fulham, Jinman Kim:
Unsupervised Two-Path Neural Network for Cell Event Detection and Classification Using Spatiotemporal Patterns. IEEE Trans. Medical Imaging 38(6): 1477-1487 (2019) - [c56]Yige Peng, Lei Bi, Yuyu Guo, Dagan Feng, Michael J. Fulham, Jinman Kim:
Deep multi-modality collaborative learning for distant metastases predication in PET-CT soft-tissue sarcoma studies. EMBC 2019: 3658-3688 - [c55]Ha Tran Hong Phan, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim:
Optimizing Contextual Feature Learning for Mitosis Detection with Convolutional Recurrent Neural Networks. ISBI 2019: 240-243 - [c54]Lei Bi, Dagan Feng, Michael J. Fulham, Jinman Kim:
Improving Skin Lesion Segmentation via Stacked Adversarial Learning. ISBI 2019: 1100-1103 - [c53]Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim:
Unsupervised Deep Transfer Feature Learning for Medical Image Classification. ISBI 2019: 1915-1918 - [i10]Lei Bi, Yuyu Guo, Qian Wang, Dagan Feng, Michael J. Fulham, Jinman Kim:
Automated Segmentation of the Optic Disk and Cup using Dual-Stage Fully Convolutional Networks. CoRR abs/1902.04713 (2019) - [i9]Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim:
Unsupervised Deep Transfer Feature Learning for Medical Image Classification. CoRR abs/1903.06342 (2019) - [i8]Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim:
Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification. CoRR abs/1906.03359 (2019) - [i7]Ha Tran Hong Phan, Ashnil Kumar, David Feng, Michael J. Fulham, Jinman Kim:
Semi-supervised estimation of event temporal length for cell event detection. CoRR abs/1909.09946 (2019) - 2018
- [j43]Younhyun Jung, Jinman Kim, Ashnil Kumar, David Dagan Feng, Michael J. Fulham:
Feature of Interest-Based Direct Volume Rendering Using Contextual Saliency-Driven Ray Profile Analysis. Comput. Graph. Forum 37(6): 5-19 (2018) - [j42]Hui Cui, Xiuying Wang, Jianlong Zhou, Guanzhong Gong, Stefan Eberl, Yong Yin, Lisheng Wang, Dagan Feng, Michael J. Fulham:
A topo-graph model for indistinct target boundary definition from anatomical images. Comput. Methods Programs Biomed. 159: 211-222 (2018) - [j41]Haozhe Jia, Yong Xia, Yang Song, Weidong Cai, Michael J. Fulham, David Dagan Feng:
Atlas registration and ensemble deep convolutional neural network-based prostate segmentation using magnetic resonance imaging. Neurocomputing 275: 1358-1369 (2018) - [j40]Yutong Xie, Jianpeng Zhang, Yong Xia, Michael J. Fulham, Yanning Zhang:
Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT. Inf. Fusion 42: 102-110 (2018) - [j39]Jianpeng Zhang, Yong Xia, Yutong Xie, Michael J. Fulham, David Dagan Feng:
Classification of Medical Images in the Biomedical Literature by Jointly Using Deep and Handcrafted Visual Features. IEEE J. Biomed. Health Informatics 22(5): 1521-1530 (2018) - [c52]Shen Lu, Yong Xia, Weidong Cai, David Dagan Feng, Michael J. Fulham:
Cross-cohort dementia identification using transfer learning with FDG-PET imaging. ISBI 2018: 1550-1554 - [i6]Euijoon Ahn, Jinman Kim, Ashnil Kumar, Michael J. Fulham, Dagan Feng:
Sparsity-based Convolutional Kernel Network for Unsupervised Medical Image Analysis. CoRR abs/1807.05648 (2018) - [i5]Haozhe Jia, Yang Song, Donghao Zhang, Heng Huang, Dagan Feng, Michael J. Fulham, Yong Xia, Weidong Cai:
3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation. CoRR abs/1807.06742 (2018) - [i4]Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim:
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer. CoRR abs/1810.02492 (2018) - 2017
- [j38]Yongsheng Pan, Yong Xia, Tao Zhou, Michael J. Fulham:
Cell image segmentation using bacterial foraging optimization. Appl. Soft Comput. 58: 770-782 (2017) - [j37]Lei Bi, Jinman Kim, Ashnil Kumar, Lingfeng Wen, Dagan Feng, Michael J. Fulham:
Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies. Comput. Medical Imaging Graph. 60: 3-10 (2017) - [j36]Shen Lu, Yong Xia, Weidong Cai, Michael J. Fulham, David Dagan Feng:
Early identification of mild cognitive impairment using incomplete random forest-robust support vector machine and FDG-PET imaging. Comput. Medical Imaging Graph. 60: 35-41 (2017) - [j35]Afaf Tareef, Yang Song, Weidong Cai, Heng Huang, Hang Chang, Yue Wang, Michael J. Fulham, Dagan Feng, Mei Chen:
Automatic segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation. Neurocomputing 221: 94-107 (2017) - [j34]Lei Bi, Jinman Kim, Euijoon Ahn, Ashnil Kumar, Michael J. Fulham, Dagan Feng:
Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks. IEEE Trans. Biomed. Eng. 64(9): 2065-2074 (2017) - [j33]Ashnil Kumar, Jinman Kim, David Lyndon, Michael J. Fulham, David Dagan Feng:
An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification. IEEE J. Biomed. Health Informatics 21(1): 31-40 (2017) - [j32]Younhyun Jung, Jinman Kim, Dagan Feng, Michael J. Fulham:
Occlusion and Slice-Based Volume Rendering Augmentation for PET-CT. IEEE J. Biomed. Health Informatics 21(4): 1005-1014 (2017) - [j31]Euijoon Ahn, Jinman Kim, Lei Bi, Ashnil Kumar, Changyang Li, Michael J. Fulham, David Dagan Feng:
Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images. IEEE J. Biomed. Health Informatics 21(6): 1685-1693 (2017) - [j30]Lei Bi, Jinman Kim, Ashnil Kumar, Michael J. Fulham, Dagan Feng:
Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation. Vis. Comput. 33(6-8): 1061-1071 (2017) - [c51]Xiuying Wang, Wensi Tang, Hui Cui, Shan Zeng, David Dagan Feng, Michael J. Fulham:
Multi-view collaborative segmentation for prostate MRI images. EMBC 2017: 3529-3532 - [c50]Lei Bi, Jinman Kim, Euijoon Ahn, Dagan Feng, Michael J. Fulham:
Semi-automatic skin lesion segmentation via fully convolutional networks. ISBI 2017: 561-564 - [c49]Haozhe Jia, Yong Xia, Tom Weidong Cai, Michael J. Fulham, David Dagan Feng:
Prostate segmentation in MR images using ensemble deep convolutional neural networks. ISBI 2017: 762-765 - [c48]Lei Bi, Jinman Kim, Tingwei Su, Michael J. Fulham, Dagan Feng, Guang Ning:
Adrenal lesions detection on low-contrast CT images using fully convolutional networks with multi-scale integration. ISBI 2017: 895-898 - [c47]Lei Bi, Jinman Kim, Ashnil Kumar, Dagan Feng, Michael J. Fulham:
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs). CMMI/RAMBO/SWITCH@MICCAI 2017: 43-51 - [c46]Yutong Xie, Yong Xia, Jianpeng Zhang, David Dagan Feng, Michael J. Fulham, Weidong Cai:
Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT. MICCAI (3) 2017: 656-664 - [i3]Lei Bi, Jinman Kim, Ashnil Kumar, Dagan Feng, Michael J. Fulham:
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs). CoRR abs/1707.09747 (2017) - [i2]Ha Tran Hong Phan, Ashnil Kumar, David Feng, Michael J. Fulham, Jinman Kim:
An unsupervised long short-term memory neural network for event detection in cell videos. CoRR abs/1709.02081 (2017) - 2016
- [j29]Hui Cui, Xiuying Wang, Weiran Lin, Jianlong Zhou, Stefan Eberl, Dagan Feng, Michael J. Fulham:
Primary lung tumor segmentation from PET-CT volumes with spatial-topological constraint. Int. J. Comput. Assist. Radiol. Surg. 11(1): 19-29 (2016) - [j28]Ashnil Kumar, Shane Dyer, Jinman Kim, Changyang Li, Philip Heng Wai Leong, Michael J. Fulham, Dagan Feng:
Adapting content-based image retrieval techniques for the semantic annotation of medical images. Comput. Medical Imaging Graph. 49: 37-45 (2016) - [j27]Younhyun Jung, Jinman Kim, Ashnil Kumar, David Dagan Feng, Michael J. Fulham:
Efficient visibility-driven medical image visualisation via adaptive binned visibility histogram. Comput. Medical Imaging Graph. 51: 40-49 (2016) - [j26]Fan Zhang, Yang Song, Weidong Cai, Alexander G. Hauptmann, Sidong Liu, Sonia Pujol, Ron Kikinis, Michael J. Fulham, David Dagan Feng, Mei Chen:
Dictionary pruning with visual word significance for medical image retrieval. Neurocomputing 177: 75-88 (2016) - [j25]Fan Zhang, Yang Song, Weidong Cai, Sidong Liu, Siqi Liu, Sonia Pujol, Ron Kikinis, Yong Xia, Michael J. Fulham, David Dagan Feng:
Pairwise Latent Semantic Association for Similarity Computation in Medical Imaging. IEEE Trans. Biomed. Eng. 63(5): 1058-1069 (2016) - [c45]Sidong Liu, Yang Song, Fan Zhang, Dagan Feng, Michael J. Fulham, Tom Weidong Cai:
Clique Identification and Propagation for Multimodal Brain Tumor Image Segmentation. BIH 2016: 285-294 - [c44]Younhyun Jung, Jinman Kim, Ashnil Kumar, Michael J. Fulham, David Feng:
An intuitive Sketch-based Transfer Function Design via Contextual and Regional Labelling. CGI (Short Papers) 2016: 73-76 - [c43]Euijoon Ahn, Ashnil Kumar, Jinman Kim, ChangYang Li, Dagan Feng, Michael J. Fulham:
X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid. ISBI 2016: 855-858 - [c42]Lei Bi, Jinman Kim, Euijoon Ahn, Dagan Feng, Michael J. Fulham:
Automatic melanoma detection via multi-scale lesion-biased representation and joint reverse classification. ISBI 2016: 1055-1058 - [c41]Lei Bi, Jinman Kim, Euijoon Ahn, Dagan Feng, Michael J. Fulham:
Automated skin lesion segmentation via image-wise supervised learning and multi-scale superpixel based cellular automata. ISBI 2016: 1059-1062 - 2015
- [j24]Sidong Liu, Weidong Cai, Siqi Liu, Fan Zhang, Michael J. Fulham, Dagan Feng, Sonia Pujol, Ron Kikinis:
Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders. Brain Informatics 2(3): 167-180 (2015) - [j23]Sidong Liu, Weidong Cai, Siqi Liu, Fan Zhang, Michael J. Fulham, Dagan Feng, Sonia Pujol, Ron Kikinis:
Multimodal neuroimaging computing: the workflows, methods, and platforms. Brain Informatics 2(3): 181-195 (2015) - [j22]ChangYang Li, Xiuying Wang, Stefan Eberl, Michael J. Fulham, Yong Yin, David Dagan Feng:
Supervised Variational Model With Statistical Inference and Its Application in Medical Image Segmentation. IEEE Trans. Biomed. Eng. 62(1): 196-207 (2015) - [j21]Siqi Liu, Sidong Liu, Weidong Cai, Hangyu Che, Sonia Pujol, Ron Kikinis, Dagan Feng, Michael J. Fulham:
Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease. IEEE Trans. Biomed. Eng. 62(4): 1132-1140 (2015) - [j20]Ashnil Kumar, Falk Nette, Karsten Klein, Michael J. Fulham, Jinman Kim:
A Visual Analytics Approach Using the Exploration of Multidimensional Feature Spaces for Content-Based Medical Image Retrieval. IEEE J. Biomed. Health Informatics 19(5): 1734-1746 (2015) - [j19]Yang Song, Tom Weidong Cai, Heng Huang, Yun Zhou, David Dagan Feng, Yue Wang, Michael J. Fulham, Mei Chen:
Large Margin Local Estimate With Applications to Medical Image Classification. IEEE Trans. Medical Imaging 34(6): 1362-1377 (2015) - [c40]Robin Huang, Lei Bi, ChangYang Li, Younhyun Jung, Jinman Kim, Michael J. Fulham, David Dagan Feng:
A Locally Constrained Random Walk Approach for Airway Segmentation of Low-Contrast Computed Tomography (CT) Image. DICTA 2015: 1-7 - [c39]Euijoon Ahn, Lei Bi, Younhyun Jung, Jinman Kim, Changyang Li, Michael J. Fulham, David Dagan Feng:
Automated saliency-based lesion segmentation in dermoscopic images. EMBC 2015: 3009-3012 - [c38]Lei Bi, Jinman Kim, Lingfeng Wen, David Dagan Feng, Michael J. Fulham:
Automated thresholded region classification using a robust feature selection method for PET-CT. ISBI 2015: 1435-1438 - [i1]Siqi Liu, Sidong Liu, Sonia Pujol, Ron Kikinis, Dagan Feng, Michael J. Fulham, Weidong Cai:
Morphometry-Based Longitudinal Neurodegeneration Simulation with MR Imaging. CoRR abs/1508.05683 (2015) - 2014
- [j18]Sidong Liu, Weidong Cai, Lingfeng Wen, David Dagan Feng, Sonia Pujol, Ron Kikinis, Michael J. Fulham, Stefan Eberl:
Multi-Channel neurodegenerative pattern analysis and its application in Alzheimer's disease characterization. Comput. Medical Imaging Graph. 38(6): 436-444 (2014) - [j17]Ashnil Kumar, Jinman Kim, Lingfeng Wen, Michael J. Fulham, Dagan Feng:
A graph-based approach for the retrieval of multi-modality medical images. Medical Image Anal. 18(2): 330-342 (2014) - [j16]Fan Zhang, Yang Song, Weidong Cai, Min-Zhao Lee, Yun Zhou, Heng Huang, Shimin Shan, Michael J. Fulham, David Dagan Feng:
Lung Nodule Classification With Multilevel Patch-Based Context Analysis. IEEE Trans. Biomed. Eng. 61(4): 1155-1166 (2014) - [j15]Yang Song, Weidong Cai, Heng Huang, Xiaogang Wang, Yun Zhou, Michael J. Fulham, David Dagan Feng:
Lesion Detection and Characterization With Context Driven Approximation in Thoracic FDG PET-CT Images of NSCLC Studies. IEEE Trans. Medical Imaging 33(2): 408-421 (2014) - [c37]Ashnil Kumar, Jinman Kim, Michael J. Fulham, David Dagan Feng:
Creating Graph Abstractions for the Interpretation of Combined Functional and Anatomical Medical Images. ED/GViP@Diagrams 2014: 63-72 - [c36]Ashnil Kumar, Jinman Kim, Michael J. Fulham, Dagan Feng:
Efficient PET-CT image retrieval using graphs embedded into a vector space. EMBC 2014: 1901-1904 - [c35]Lei Bi, Jinman Kim, David Dagan Feng, Michael J. Fulham:
Classification of thresholded regions based on selective use of PET, CT and PET-CT image features. EMBC 2014: 1913-1916 - [c34]Younhyun Jung, Jinman Kim, Michael J. Fulham, David Dagan Feng:
Opacity-driven volume clipping for slice of interest (SOI) visualisation of multi-modality PET-CT volumes. EMBC 2014: 6714-6717 - [c33]ChangYang Li, Ang Li, Xiuying Wang, Dagan Feng, Stefan Eberl, Michael J. Fulham:
A new statistical and Dirichlet integral framework applied to liver segmentation from volumetric CT images. ICARCV 2014: 642-647 - [c32]Weidong Cai, Fan Zhang, Yang Song, Sidong Liu, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, Dagan Feng:
Automated feedback extraction for medical imaging retrieval. ISBI 2014: 907-910 - [c31]Hui Cui, Xiuying Wang, Jianlong Zhou, Michael J. Fulham, Stefan Eberl, Dagan Feng:
Topology constraint graph-based model for non-small-cell lung tumor segmentation from PET volumes. ISBI 2014: 1243-1246 - [c30]Fan Zhang, Yang Song, Weidong Cai, Yun Zhou, Michael J. Fulham, Stefan Eberl, Shimin Shan, Dagan Feng:
A ranking-based lung nodule image classification method using unlabeled image knowledge. ISBI 2014: 1356-1359 - [c29]Lei Bi, Jinman Kim, David Dagan Feng, Michael J. Fulham:
Multi-stage Thresholded Region Classification for Whole-Body PET-CT Lymphoma Studies. MICCAI (1) 2014: 569-576 - 2013
- [j14]Ashnil Kumar, Jinman Kim, Lei Bi, Michael J. Fulham, Dagan Feng:
Designing user interfaces to enhance human interpretation of medical content-based image retrieval: application to PET-CT images. Int. J. Comput. Assist. Radiol. Surg. 8(6): 1003-1014 (2013) - [j13]Cherry G. Ballangan, Xiuying Wang, Michael J. Fulham, Stefan Eberl, David Dagan Feng:
Lung tumor segmentation in PET images using graph cuts. Comput. Methods Programs Biomed. 109(3): 260-268 (2013) - [j12]Ashnil Kumar, Jinman Kim, Weidong Cai, Michael J. Fulham, Dagan Feng:
Content-Based Medical Image Retrieval: A Survey of Applications to Multidimensional and Multimodality Data. J. Digit. Imaging 26(6): 1025-1039 (2013) - [j11]ChangYang Li, Xiuying Wang, Stefan Eberl, Michael J. Fulham, Yong Yin, Jinhu Chen, David Dagan Feng:
A Likelihood and Local Constraint Level Set Model for Liver Tumor Segmentation from CT Volumes. IEEE Trans. Biomed. Eng. 60(10): 2967-2977 (2013) - [j10]ChangYang Li, Xiuying Wang, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Robust Model for Segmenting Images With/Without Intensity Inhomogeneities. IEEE Trans. Image Process. 22(8): 3296-3309 (2013) - [j9]ChangYang Li, Xiuying Wang, Stefan Eberl, Michael J. Fulham, Dagan Feng:
A New Energy Framework With Distribution Descriptors for Image Segmentation. IEEE Trans. Image Process. 22(9): 3578-3590 (2013) - [j8]ChangYang Li, Xiuying Wang, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Corrections to "Robust Model for Segmenting Images With/Without Intensity Inhomogeneities" [August 13 3296-3309]. IEEE Trans. Image Process. 22(9): 3729 (2013) - [j7]ChangYang Li, Xiuying Wang, Junli Li, Stefan Eberl, Michael J. Fulham, Yong Yin, David Dagan Feng:
Joint Probabilistic Model of Shape and Intensity for Multiple Abdominal Organ Segmentation From Volumetric CT Images. IEEE J. Biomed. Health Informatics 17(1): 92-102 (2013) - [j6]Younhyun Jung, Jinman Kim, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Visibility-driven PET-CT visualisation with region of interest (ROI) segmentation. Vis. Comput. 29(6-8): 805-815 (2013) - [c28]Michael de Ridder, Liviu Constantinescu, Lei Bi, Younhyun Jung, Ashnil Kumar, Jinman Kim, David Dagan Feng, Michael J. Fulham:
A web-based medical multimedia visualisation interface for personal health records. CBMS 2013: 191-196 - [c27]Ashnil Kumar, Jinman Kim, Dagan Feng, Michael J. Fulham:
Graph-based retrieval of PET-CT images using vector space embedding. CBMS 2013: 413-416 - [c26]Ang Li, ChangYang Li, Xiuying Wang, Stefan Eberl, David Dagan Feng, Michael J. Fulham:
Automated Segmentation of Prostate MR Images Using Prior Knowledge Enhanced Random Walker. DICTA 2013: 1-7 - [c25]Lei Bi, Jinman Kim, Lingfeng Wen, Ashnil Kumar, Michael J. Fulham, David Dagan Feng:
Cellular automata and anisotropic diffusion filter based interactive tumor segmentation for positron emission tomography. EMBC 2013: 5453-5456 - [c24]Hui Cui, Xiuying Wang, Michael J. Fulham, David Dagan Feng:
Prior knowledge enhanced random walk for lung tumor segmentation from low-contrast CT images. EMBC 2013: 6071-6074 - [c23]Yang Song, Weidong Cai, Heng Huang, Xiaogang Wang, Stefan Eberl, Michael J. Fulham, Dagan Feng:
Similarity Guided Feature Labeling for Lesion Detection. MICCAI (1) 2013: 284-291 - 2012
- [j5]Yong Xia, Stefan Eberl, Lingfeng Wen, Michael J. Fulham, David Dagan Feng:
Dual-modality brain PET-CT image segmentation based on adaptive use of functional and anatomical information. Comput. Medical Imaging Graph. 36(1): 47-53 (2012) - [c22]Ashnil Kumar, Jinman Kim, Dagan Feng, Michael J. Fulham:
Graph-based retrieval of multi-modality medical images: A comparison of representations using simulated images. CBMS 2012: 1-6 - 2011
- [j4]Cherry G. Ballangan, Xiuying Wang, Michael J. Fulham, Stefan Eberl, Yong Yin, David Dagan Feng:
Automated Delineation of Lung Tumors in PET Images Based on Monotonicity and a Tumor-Customized Criterion. IEEE Trans. Inf. Technol. Biomed. 15(5): 691-702 (2011) - [c21]Yang Song, Weidong Cai, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Thoracic image matching with appearance and spatial distribution. EMBC 2011: 4469-4472 - [c20]Sidong Liu, Weidong Cai, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Generalized regional disorder-sensitive-weighting scheme for 3D neuroimaging retrieval. EMBC 2011: 7009-7012 - [c19]Yong Xia, Jiabin Wang, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Brain tissue segmentation in PET-CT images using probabilistic atlas and variational Bayes inference. EMBC 2011: 7969-7972 - [c18]Cherry G. Ballangan, Xiuying Wang, Michael J. Fulham, Stefan Eberl, David Dagan Feng:
Lung tumor delineation in PET-CT images using a downhill region growing and a Gaussian mixture model. ICIP 2011: 2173-2176 - [c17]Sidong Liu, Weidong Cai, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Localized functional neuroimaging retrieval using 3D discrete curvelet transform. ISBI 2011: 1877-1880 - [c16]Yang Song, Weidong Cai, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Thoracic image case retrieval with spatial and contextual information. ISBI 2011: 1885-1888 - [c15]Yang Song, Weidong Cai, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Discriminative Pathological Context Detection in Thoracic Images Based on Multi-level Inference. MICCAI (3) 2011: 191-198 - 2010
- [c14]Sidong Liu, Lei Jing, Weidong Cai, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Localized multiscale texture based retrieval of neurological image. CBMS 2010: 243-248 - [c13]Yang Song, Weidong Cai, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
A content-based image retrieval framework for multi-modality lung images. CBMS 2010: 285-290 - [c12]Yang Song, Weidong Cai, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Structure-Adaptive Feature Extraction and Representation for Multi-modality Lung Images Retrieval. DICTA 2010: 152-157 - [c11]ChangYang Li, Xiuying Wang, Stefan Eberl, Michael J. Fulham, Yong Yin, David Dagan Feng:
Fully automated liver segmentation for low- and high- contrast CT volumes based on probabilistic atlases. ICIP 2010: 1733-1736 - [c10]Weidong Cai, Sidong Liu, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
3D neurological image retrieval with localized pathology-centric CMRGlc patterns. ICIP 2010: 3201-3204 - [c9]Cherry G. Ballangan, Xiuying Wang, Stefan Eberl, Michael J. Fulham, Dagan Feng:
Automated lung tumor segmentation for whole body PET volume based on novel downhill region growing. Medical Imaging: Image Processing 2010: 76233O
2000 – 2009
- 2009
- [j3]Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng, Jing Bai:
Constructing Reliable Parametric Images Using Enhanced GLLS for Dynamic SPECT. IEEE Trans. Biomed. Eng. 56(4): 1117-1126 (2009) - [c8]Cherry G. Ballangan, Xiuying Wang, Stefan Eberl, Michael J. Fulham, Dagan Feng:
Automated detection and delineation of lung tumors in PET-CT volumes using a lung atlas and iterative mean-SUV threshold. Medical Imaging: Image Processing 2009: 72593F - [c7]Yong Xia, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, Dagan Feng:
Segmentation of brain PET-CT images based on adaptive use of complementary information. Medical Imaging: Image Processing 2009: 72593A - 2008
- [j2]Lingfeng Wen, Stefan Eberl, Hon-Chit Choi, David Dagan Feng, Michael J. Fulham:
Enhanced parameter estimation methods for noisy SPECT data. Comput. Methods Programs Biomed. 89(2): 102-111 (2008) - [c6]Lingfeng Wen, Michael Bewley, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Classification of dementia from FDG-PET parametric images using data mining. ISBI 2008: 412-415 - [c5]Yong Xia, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Segmentation of dual modality brain PET/CT images using the MAP-MRF model. MMSP 2008: 107-110 - [c4]Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng, Jing Bai:
Adaptive fuzzy clustering in constructing parametric images for low SNR functional imaging. MMSP 2008: 117-121 - 2001
- [j1]Koon-Pong Wong, David Dagan Feng, Steven R. Meikle, Michael J. Fulham:
Simultaneous estimation of physiological parameters and the input function - in vivo PET data. IEEE Trans. Inf. Technol. Biomed. 5(1): 67-76 (2001) - [c3]Koon-Pong Wong, Steven R. Meikle, David Dagan Feng, Michael J. Fulham:
Numerical Deconvolution by a Monte Carlo Approach with Application to Dynamic Cardiac Perfusion Tc-99m SPECT. VIP 2001: 123-127 - 2000
- [c2]Koon-Pong Wong, David Dagan Feng, Steven R. Meikle, Michael J. Fulham:
Functional Segmentation of Dynamic Emission Tomographic images. VIP 2000: 105-107 - [c1]Koon-Pong Wong, David Dagan Feng, Steven R. Meikle, Michael J. Fulham:
Non-Invasive estimation of Cerebral Metabolic Rate of Glucose Using Simultaneous Estimation and Cluster Analysis: A feasibility Study. VIP 2000: 109-111
Coauthor Index
[i26] [c61] [c60] [c59] [i25] [i24] [i23] [i22] [i21] [j61] [j60] [j59] [j58] [j57] [i19] [j56] [j55] [j54] [i18] [i17] [i16] [i15] [i14] [j53] [c58] [c57] [i13] [i12] [i11] [j50] [j46] [c56] [c54] [i10] [j37] [j34] [j31] [j30] [c50] [c48] [c47] [i3] [c42] [c41] [c40] [c39] [c38] [c35] [c29] [j14] [c28] [c25]
[i26] [j62] [c61] [c60] [c59] [i25] [i24] [i23] [i22] [i21] [j61] [j59] [i19] [j56] [j55] [i17] [i15] [j53] [j52] [j51] [c57] [i13] [i12] [j50] [j49] [j48] [j47] [j46] [j45] [j44] [c56] [c55] [c54] [c53] [i10] [i9] [i8] [i7] [j43] [j42] [j41] [j39] [c52] [i6] [i5] [i4] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [c51] [c50] [c49] [c48] [c47] [c46] [i3] [i2] [j29] [j28] [j27] [j26] [j25] [c45] [c44] [c43] [c42] [c41] [j24] [j23] [j22] [j21] [j19] [c40] [c39] [c38] [i1] [j18] [j17] [j16] [j15] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [c28] [c27] [c26] [c25] [c24] [c23] [j5] [c22] [j4] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [j3] [c8] [c7] [j2] [c6] [c5] [c4] [j1] [c3] [c2] [c1]
[j63] [i26] [j62] [c61] [c60] [c59] [i25] [i24] [i23] [i22] [i21] [j61] [j60] [j59] [j58] [j57] [i20] [i19] [j56] [j55] [j54] [i18] [i17] [i16] [i15] [i14] [j53] [j52] [j51] [c58] [c57] [i13] [i12] [i11] [j50] [j49] [j48] [j47] [j46] [j44] [c56] [c55] [c54] [c53] [i10] [i9] [i8] [i7] [j43] [i6] [i4] [j37] [j34] [j33] [j32] [j31] [j30] [c50] [c48] [c47] [i3] [i2] [j28] [j27] [c44] [c43] [c42] [c41] [j20] [c40] [c39] [c38] [j17] [c37] [c36] [c35] [c34] [c29] [j14] [j12] [j6] [c28] [c27] [c25] [c22]
ChangYang Li
aka: Changyang Li
aka: Changyang Li
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:20 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
