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Michael J. Fulham
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Publications
- 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) - 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) - [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) - [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) - [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
- [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) - [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) - [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 - [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 - [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
- [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) - [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
- [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) - [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 - 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) - [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 - [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) - [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) - [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 - [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 - 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
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