Michael J. Fulham

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 95

Top Venues

CoRR

ISBI

EMBC

IEEE Trans. Medical Imaging

Publications

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 (2024)
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) (2024)
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) (2023)
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 (2023)
Mingyuan Meng, Michael J. Fulham, Dagan Feng, Lei Bi, Jinman Kim
AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration. CoRR (2023)
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 (2023)
Lei Bi, Michael J. Fulham, Shaoli Song, David Dagan Feng, Jinman Kim
Hyper-Connected Transformer Network for Multi-Modality PET-CT Segmentation. EMBC (2023)
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 (2023)
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)
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)
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 (2023)
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) (2022)
Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim
Enhancing medical image registration via appearance adjustment networks. NeuroImage 259 (2022)
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 (2022)
Lei Bi, Michael J. Fulham, Jinman Kim
Hyper-fusion network for semi-automatic segmentation of skin lesions. Medical Image Anal. 76 (2022)
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 (2022)
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 (2022)
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 (2022)
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 (2021)
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) (2021)
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 (2021)
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 (2021)
Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim
Enhancing Medical Image Registration via Appearance Adjustment Networks. CoRR (2021)
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 (2021)
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 (2021)
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 (2021)
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) (2020)
Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation. CoRR (2020)
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 (2020)
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) (2020)
Yige Peng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim
Multi-modality Information Fusion for Radiomics-Based Neural Architecture Search. MICCAI (7) (2020)
Xinheng Wu, Lei Bi, Michael J. Fulham, Jinman Kim
Unsupervised Positron Emission Tomography Tumor Segmentation via GAN based Adversarial Auto-Encoder. ICARCV (2020)
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 (2020)
Yige Peng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim
Multi-Modality Information Fusion for Radiomics-based Neural Architecture Search. CoRR (2020)
Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim
Unsupervised Deep Transfer Feature Learning for Medical Image Classification. CoRR (2019)
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)
Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim
Unsupervised Deep Transfer Feature Learning for Medical Image Classification. ISBI (2019)
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) (2019)
Lei Bi, Dagan Feng, Michael J. Fulham, Jinman Kim
Improving Skin Lesion Segmentation via Stacked Adversarial Learning. ISBI (2019)
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) (2019)
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 (2019)
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 (2019)
Euijoon Ahn, Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim
Convolutional sparse kernel network for unsupervised medical image analysis. Medical Image Anal. 56 (2019)
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 (2019)
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) (2019)
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 (2019)
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)
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) (2019)
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 (2019)
Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer. CoRR (2018)
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 (2018)
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 (2018)
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)
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) (2018)
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) (2018)
Euijoon Ahn, Jinman Kim, Ashnil Kumar, Michael J. Fulham, Dagan Feng
Sparsity-based Convolutional Kernel Network for Unsupervised Medical Image Analysis. CoRR (2018)
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 (2018)
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 (2018)
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 (2017)
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)
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) (2017)
Lei Bi, Jinman Kim, Euijoon Ahn, Dagan Feng, Michael J. Fulham
Semi-automatic skin lesion segmentation via fully convolutional networks. ISBI (2017)
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)
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)
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) (2017)
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)
Xiuying Wang, Wensi Tang, Hui Cui, Shan Zeng, David Dagan Feng, Michael J. Fulham
Multi-view collaborative segmentation for prostate MRI images. EMBC (2017)
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 (2017)
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) (2017)
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 (2017)
Yongsheng Pan, Yong Xia, Tao Zhou, Michael J. Fulham
Cell image segmentation using bacterial foraging optimization. Appl. Soft Comput. 58 (2017)
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) (2017)
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 (2017)
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) (2017)
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 (2017)
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 (2016)
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 (2016)
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)
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)
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)
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) (2016)
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)
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 (2016)
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)
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) (2016)
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) (2015)
Siqi Liu, Sidong Liu, Sonia Pujol, Ron Kikinis, Dagan Feng, Michael J. Fulham, Weidong Cai
Morphometry-Based Longitudinal Neurodegeneration Simulation with MR Imaging. CoRR (2015)
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) (2015)
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) (2015)
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)
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) (2015)
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)
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)
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) (2015)
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) (2015)
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) (2014)
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)
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)
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) (2014)
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) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michael J. Fulham