Michael J. Fulham
Orcid: 0000-0003-0602-6319
According to our database1,
Michael J. Fulham
authored at least 139 papers
between 2000 and 2024.
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Bibliography
2024
Enhancing medical vision-language contrastive learning via inter-matching relation modelling.
CoRR, 2024
2023
J. Digit. Imaging, December, 2023
PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network.
CoRR, 2023
CoRR, 2023
DeepMSS: Deep Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images.
CoRR, 2023
Non-iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images.
IEEE Trans. Medical Imaging, 2022
An attention-enhanced cross-task network to analyse lung nodule attributes in CT images.
Pattern Recognit., 2022
NeuroImage, 2022
Medical Image Anal., 2022
CoRR, 2022
Mixed reality hologram slicer (mxdR-HS): a marker-less tangible user interface for interactive holographic volume visualization.
CoRR, 2022
Deep multi-scale resemblance network for the sub-class differentiation of adrenal masses on computed tomography images.
Artif. Intell. Medicine, 2022
2021
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation.
IEEE J. Biomed. Health Informatics, 2021
Neurocomputing, 2021
Spatio-Temporal Dual-Stream Neural Network for Sequential Whole-Body PET Segmentation.
CoRR, 2021
Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning.
CoRR, 2021
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT.
CoRR, 2021
Comput. Methods Programs Biomed., 2021
2020
IEEE Trans. Medical Imaging, 2020
Unsupervised Domain Adaptation to Classify Medical Images Using Zero-Bias Convolutional Auto-Encoders and Context-Based Feature Augmentation.
IEEE Trans. Medical Imaging, 2020
Multi-Label classification of multi-modality skin lesion via hyper-connected convolutional neural network.
Pattern Recognit., 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Unsupervised Positron Emission Tomography Tumor Segmentation via GAN based Adversarial Auto-Encoder.
Proceedings of the 16th International Conference on Control, 2020
2019
Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT.
IEEE Trans. Medical Imaging, 2019
Unsupervised Two-Path Neural Network for Cell Event Detection and Classification Using Spatiotemporal Patterns.
IEEE Trans. Medical Imaging, 2019
Step-wise integration of deep class-specific learning for dermoscopic image segmentation.
Pattern Recognit., 2019
Medical Image Anal., 2019
CoRR, 2019
Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification.
CoRR, 2019
Automated Segmentation of the Optic Disk and Cup using Dual-Stage Fully Convolutional Networks.
CoRR, 2019
A propagation-DNN: Deep combination learning of multi-level features for MR prostate segmentation.
Comput. Methods Programs Biomed., 2019
A direct volume rendering visualization approach for serial PET-CT scans that preserves anatomical consistency.
Int. J. Comput. Assist. Radiol. Surg., 2019
Int. J. Comput. Assist. Radiol. Surg., 2019
Optimizing Contextual Feature Learning for Mitosis Detection with Convolutional Recurrent Neural Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Deep multi-modality collaborative learning for distant metastases predication in PET-CT soft-tissue sarcoma studies.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Classification of Medical Images in the Biomedical Literature by Jointly Using Deep and Handcrafted Visual Features.
IEEE J. Biomed. Health Informatics, 2018
Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT.
Inf. Fusion, 2018
Atlas registration and ensemble deep convolutional neural network-based prostate segmentation using magnetic resonance imaging.
Neurocomputing, 2018
CoRR, 2018
CoRR, 2018
Comput. Methods Programs Biomed., 2018
Feature of Interest-Based Direct Volume Rendering Using Contextual Saliency-Driven Ray Profile Analysis.
Comput. Graph. Forum, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation.
Vis. Comput., 2017
An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification.
IEEE J. Biomed. Health Informatics, 2017
IEEE J. Biomed. Health Informatics, 2017
IEEE J. Biomed. Health Informatics, 2017
IEEE Trans. Biomed. Eng., 2017
Automatic segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation.
Neurocomputing, 2017
An unsupervised long short-term memory neural network for event detection in cell videos.
CoRR, 2017
Early identification of mild cognitive impairment using incomplete random forest-robust support vector machine and FDG-PET imaging.
Comput. Medical Imaging Graph., 2017
Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies.
Comput. Medical Imaging Graph., 2017
Appl. Soft Comput., 2017
Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs).
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017
Prostate segmentation in MR images using ensemble deep convolutional neural networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Adrenal lesions detection on low-contrast CT images using fully convolutional networks with multi-scale integration.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
IEEE Trans. Biomed. Eng., 2016
Neurocomputing, 2016
Adapting content-based image retrieval techniques for the semantic annotation of medical images.
Comput. Medical Imaging Graph., 2016
Efficient visibility-driven medical image visualisation via adaptive binned visibility histogram.
Comput. Medical Imaging Graph., 2016
Primary lung tumor segmentation from PET-CT volumes with spatial-topological constraint.
Int. J. Comput. Assist. Radiol. Surg., 2016
Automated skin lesion segmentation via image-wise supervised learning and multi-scale superpixel based cellular automata.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Automatic melanoma detection via multi-scale lesion-biased representation and joint reverse classification.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
An intuitive Sketch-based Transfer Function Design via Contextual and Regional Labelling.
Proceedings of the Short Paper Proceedings of the 33rd Computer Graphics International, Heraklion, Greece, June 28, 2016
Proceedings of the Brain Informatics and Health - International Conference, 2016
2015
IEEE Trans. Medical Imaging, 2015
A Visual Analytics Approach Using the Exploration of Multidimensional Feature Spaces for Content-Based Medical Image Retrieval.
IEEE J. Biomed. Health Informatics, 2015
Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease.
IEEE Trans. Biomed. Eng., 2015
Supervised Variational Model With Statistical Inference and Its Application in Medical Image Segmentation.
IEEE Trans. Biomed. Eng., 2015
CoRR, 2015
Brain Informatics, 2015
Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders.
Brain Informatics, 2015
Automated thresholded region classification using a robust feature selection method for PET-CT.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
A Locally Constrained Random Walk Approach for Airway Segmentation of Low-Contrast Computed Tomography (CT) Image.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015
2014
Lesion Detection and Characterization With Context Driven Approximation in Thoracic FDG PET-CT Images of NSCLC Studies.
IEEE Trans. Medical Imaging, 2014
IEEE Trans. Biomed. Eng., 2014
Medical Image Anal., 2014
Multi-Channel neurodegenerative pattern analysis and its application in Alzheimer's disease characterization.
Comput. Medical Imaging Graph., 2014
Multi-stage Thresholded Region Classification for Whole-Body PET-CT Lymphoma Studies.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
A ranking-based lung nodule image classification method using unlabeled image knowledge.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Topology constraint graph-based model for non-small-cell lung tumor segmentation from PET volumes.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
A new statistical and Dirichlet integral framework applied to liver segmentation from volumetric CT images.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Opacity-driven volume clipping for slice of interest (SOI) visualisation of multi-modality PET-CT volumes.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Classification of thresholded regions based on selective use of PET, CT and PET-CT image features.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Creating Graph Abstractions for the Interpretation of Combined Functional and Anatomical Medical Images.
Proceedings of the Joint Proceedings of the Fourth International Workshop on Euler Diagrams and the First International Workshop on Graph Visualization in Practice co-located with Diagrams 2014, 2014
2013
Vis. Comput., 2013
Joint Probabilistic Model of Shape and Intensity for Multiple Abdominal Organ Segmentation From Volumetric CT Images.
IEEE J. Biomed. Health Informatics, 2013
Corrections to "Robust Model for Segmenting Images With/Without Intensity Inhomogeneities" [August 13 3296-3309].
IEEE Trans. Image Process., 2013
IEEE Trans. Image Process., 2013
IEEE Trans. Image Process., 2013
A Likelihood and Local Constraint Level Set Model for Liver Tumor Segmentation from CT Volumes.
IEEE Trans. Biomed. Eng., 2013
Content-Based Medical Image Retrieval: A Survey of Applications to Multidimensional and Multimodality Data.
J. Digit. Imaging, 2013
Comput. Methods Programs Biomed., 2013
Designing user interfaces to enhance human interpretation of medical content-based image retrieval: application to PET-CT images.
Int. J. Comput. Assist. Radiol. Surg., 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Prior knowledge enhanced random walk for lung tumor segmentation from low-contrast CT images.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Cellular automata and anisotropic diffusion filter based interactive tumor segmentation for positron emission tomography.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Automated Segmentation of Prostate MR Images Using Prior Knowledge Enhanced Random Walker.
Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013
2012
Dual-modality brain PET-CT image segmentation based on adaptive use of functional and anatomical information.
Comput. Medical Imaging Graph., 2012
Graph-based retrieval of multi-modality medical images: A comparison of representations using simulated images.
Proceedings of CBMS 2012, 2012
2011
Automated Delineation of Lung Tumors in PET Images Based on Monotonicity and a Tumor-Customized Criterion.
IEEE Trans. Inf. Technol. Biomed., 2011
Discriminative Pathological Context Detection in Thoracic Images Based on Multi-level Inference.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Lung tumor delineation in PET-CT images using a downhill region growing and a Gaussian mixture model.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Brain tissue segmentation in PET-CT images using probabilistic atlas and variational Bayes inference.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Generalized regional disorder-sensitive-weighting scheme for 3D neuroimaging retrieval.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Automated lung tumor segmentation for whole body PET volume based on novel downhill region growing.
Proceedings of the Medical Imaging 2010: Image Processing, 2010
Fully automated liver segmentation for low- and high- contrast CT volumes based on probabilistic atlases.
Proceedings of the International Conference on Image Processing, 2010
Proceedings of the International Conference on Image Processing, 2010
Structure-Adaptive Feature Extraction and Representation for Multi-modality Lung Images Retrieval.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010
2009
IEEE Trans. Biomed. Eng., 2009
Segmentation of brain PET-CT images based on adaptive use of complementary information.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Automated detection and delineation of lung tumors in PET-CT volumes using a lung atlas and iterative mean-SUV threshold.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
2008
Comput. Methods Programs Biomed., 2008
Proceedings of the International Workshop on Multimedia Signal Processing, 2008
Adaptive fuzzy clustering in constructing parametric images for low SNR functional imaging.
Proceedings of the International Workshop on Multimedia Signal Processing, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2001
Simultaneous estimation of physiological parameters and the input function - in vivo PET data.
IEEE Trans. Inf. Technol. Biomed., 2001
Numerical Deconvolution by a Monte Carlo Approach with Application to Dynamic Cardiac Perfusion Tc-99m SPECT.
Proceedings of the Visualisation 2001, 2001
2000
Non-Invasive estimation of Cerebral Metabolic Rate of Glucose Using Simultaneous Estimation and Cluster Analysis: A feasibility Study.
Proceedings of the Visualisation 2000, 2000
Proceedings of the Visualisation 2000, 2000