Select Publications
Book Chapters
2023, 'Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection', in , pp. 660 - 667, http://dx.doi.org/10.3233/FAIA230329
,2023, 'DHG-GAN: Diverse Image Outpainting via Decoupled High Frequency Semantics', in , pp. 168 - 184, http://dx.doi.org/10.1007/978-3-031-26293-7_11
,2023, 'Uncertainty and Shape-Aware Continual Test-Time Adaptation for Cross-Domain Segmentation of Medical Images', in , pp. 659 - 669, http://dx.doi.org/10.1007/978-3-031-43898-1_63
,2022, 'AI-Enhanced 3D Biomedical Data Analytics for Neuronal Structure Reconstruction', in Humanity Driven AI, Springer International Publishing, pp. 135 - 163, http://dx.doi.org/10.1007/978-3-030-72188-6_7
,2021, 'BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation', in Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, pp. 229 - 238, http://dx.doi.org/10.1007/978-3-030-87193-2_22
,2021, 'Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation', in Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, pp. 497 - 507, http://dx.doi.org/10.1007/978-3-030-87234-2_47
,2021, 'Deformable Convolution and Semi-supervised Learning in Point Clouds for Aneurysm Classification and Segmentation', in Neural Information Processing, pp. 283 - 290, http://dx.doi.org/10.1007/978-3-030-92310-5_33
,2021, 'Learning with Noise: Mask-Guided Attention Model for Weakly Supervised Nuclei Segmentation', in Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, pp. 461 - 470, http://dx.doi.org/10.1007/978-3-030-87196-3_43
,2021, 'Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images', in Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, pp. 581 - 591, http://dx.doi.org/10.1007/978-3-030-87237-3_56
,2021, 'Voxel-Wise Cross-Volume Representation Learning for 3D Neuron Reconstruction', in Machine Learning in Medical Imaging, pp. 248 - 257, http://dx.doi.org/10.1007/978-3-030-87589-3_26
,2020, 'Visual feature representation in microscopy image classification', in Computer Vision for Microscopy Image Analysis, pp. 73 - 100, http://dx.doi.org/10.1016/B978-0-12-814972-0.00004-7
,2019, 'Content-based large-scale medical image retrieval', in Biomedical Information Technology, pp. 321 - 368, http://dx.doi.org/10.1016/B978-0-12-816034-3.00011-0
,2017, 'Handling of feature space complexity for texture analysis in medical images', in Biomedical Texture Analysis: Fundamentals, Tools and Challenges, pp. 163 - 191, http://dx.doi.org/10.1016/B978-0-12-812133-7.00006-5
,2017, 'Chapter 6 Handling of Feature Space Complexity for Texture Analysis in Medical Images', in Biomedical Texture Analysis, Elsevier, pp. 163 - 191, http://dx.doi.org/10.1016/b978-0-12-812133-7.00006-5
,2017, 'Text- and Content-Based Medical Image Retrieval in the VISCERAL Retrieval Benchmark', in Cloud-Based Benchmarking of Medical Image Analysis, Springer International Publishing, pp. 237 - 249, http://dx.doi.org/10.1007/978-3-319-49644-3_14
,2014, 'FEATURE-CENTRIC LESION DETECTION AND RETRIEVAL IN THORACIC IMAGES', in Computer Vision in Medical Imaging, WORLD SCIENTIFIC, pp. 75 - 94, http://dx.doi.org/10.1142/9789814460941_0005
,Journal articles
2024, 'TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance', Medical Image Analysis, 94, http://dx.doi.org/10.1016/j.media.2024.103120
,2024, 'Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation', Expert Systems with Applications, 238, http://dx.doi.org/10.1016/j.eswa.2023.122093
,2024, 'Deconfounding Causal Inference for Zero-Shot Action Recognition', IEEE Transactions on Multimedia, 26, pp. 3976 - 3986, http://dx.doi.org/10.1109/TMM.2023.3318300
,2023, 'A comparison of manual and automated neural architecture search for white matter tract segmentation', Scientific Reports, 13, http://dx.doi.org/10.1038/s41598-023-28210-1
,2023, 'An annotated grain kernel image database for visual quality inspection', Scientific Data, 10, http://dx.doi.org/10.1038/s41597-023-02660-8
,2023, 'AV4GAInsp: An Efficient Dual-Camera System for Identifying Defective Kernels of Cereal Grains', IEEE Robotics and Automation Letters, 9, pp. 851 - 858, http://dx.doi.org/10.1109/LRA.2023.3338517
,2023, 'Artificial Intelligence–Assisted Classification of Gliomas Using Whole Slide Images', Archives of Pathology and Laboratory Medicine, 147, pp. 916 - 924, http://dx.doi.org/10.5858/arpa.2021-0518-OA
,2023, 'An edge guided coarse-to-fine generative network for image outpainting', Neurocomputing, 541, http://dx.doi.org/10.1016/j.neucom.2023.126254
,2023, 'Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation', NeuroImage, 273, http://dx.doi.org/10.1016/j.neuroimage.2023.120086
,2023, 'Cancer Survival Prediction From Whole Slide Images With Self-Supervised Learning and Slide Consistency', IEEE Transactions on Medical Imaging, 42, pp. 1401 - 1412, http://dx.doi.org/10.1109/TMI.2022.3228275
,2023, 'SAC-Net: Learning with weak and noisy labels in histopathology image segmentation', Medical Image Analysis, 86, http://dx.doi.org/10.1016/j.media.2023.102790
,2023, 'Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acquisitions', Medical Image Analysis, 85, http://dx.doi.org/10.1016/j.media.2023.102759
,2023, 'Computer-Aided Diagnosis of Melanoma Subtypes Using Reflectance Confocal Images', Cancers, 15, http://dx.doi.org/10.3390/cancers15051428
,2023, 'Decompose to Adapt: Cross-Domain Object Detection Via Feature Disentanglement', IEEE Transactions on Multimedia, 25, pp. 1333 - 1344, http://dx.doi.org/10.1109/TMM.2022.3141614
,2023, 'Imbalanced classification for protein subcellular localization with multilabel oversampling', Bioinformatics, 39, http://dx.doi.org/10.1093/bioinformatics/btac841
,2023, 'InterREC: An Interpretable Method for Referring Expression Comprehension', IEEE Transactions on Multimedia, 25, pp. 9330 - 9342, http://dx.doi.org/10.1109/TMM.2023.3251111
,2023, 'Multi-scale multi-reception attention network for bone age assessment in X-ray images', Neural Networks, 158, pp. 249 - 257, http://dx.doi.org/10.1016/j.neunet.2022.11.002
,2022, 'Data augmentation with improved regularisation and sampling for imbalanced blood cell image classification', Scientific Reports, 12, http://dx.doi.org/10.1038/s41598-022-22882-x
,2022, 'Survival prediction in triple negative breast cancer using multiple instance learning of histopathological images', Scientific Reports, 12, http://dx.doi.org/10.1038/s41598-022-18647-1
,2022, 'Colour adaptive generative networks for stain normalisation of histopathology images', Medical Image Analysis, 82, http://dx.doi.org/10.1016/j.media.2022.102580
,2022, 'Computer-aided extraction of select MRI markers of cerebral small vessel disease: A systematic review', NeuroImage, 261, pp. 119528, http://dx.doi.org/10.1016/j.neuroimage.2022.119528
,2022, 'DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis', IEEE Transactions on Medical Imaging, 41, pp. 2180 - 2190, http://dx.doi.org/10.1109/TMI.2022.3157983
,2022, 'Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications', IEEE Journal of Biomedical and Health Informatics, 26, pp. 2680 - 2692, http://dx.doi.org/10.1109/JBHI.2022.3151741
,2022, 'Towards bi-directional skip connections in encoder-decoder architectures and beyond', Medical Image Analysis, 78, http://dx.doi.org/10.1016/j.media.2022.102420
,2021, 'Deep learning methods for automatic segmentation of lower leg muscles and bones from MRI scans of children with and without cerebral palsy', NMR in Biomedicine, 34, http://dx.doi.org/10.1002/nbm.4609
,2021, 'Estimation of three-dimensional chromatin morphology for nuclear classification and characterisation', Scientific Reports, 11, http://dx.doi.org/10.1038/s41598-021-82985-9
,2021, 'Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images', IEEE Transactions on Image Processing, 30, pp. 2045 - 2059, http://dx.doi.org/10.1109/TIP.2021.3050668
,2021, 'PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images', IEEE Transactions on Medical Imaging, 40, pp. 154 - 165, http://dx.doi.org/10.1109/TMI.2020.3023466
,2020, 'NFN+: A novel network followed network for retinal vessel segmentation', Neural Networks, 126, pp. 153 - 162, http://dx.doi.org/10.1016/j.neunet.2020.02.018
,2020, '3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images', IEEE Transactions on Medical Imaging, 39, pp. 447 - 457, http://dx.doi.org/10.1109/TMI.2019.2928056
,2020, 'Fourier Transform to Group Feature on Generated Coarser Contours for Fast 2D Shape Matching', IEEE Access, 8, pp. 90141 - 90152, http://dx.doi.org/10.1109/ACCESS.2020.2994234
,2020, 'Estimation of Three-Dimensional Chromatin Morphology for Nuclear Classification and Characterisation', , http://dx.doi.org/10.1101/2020.07.29.226498
,2019, 'Biological impact of nanodiamond particles–label free, high-resolution methods for nanotoxicity assessment', Nanotoxicology, 13, pp. 1210 - 1226, http://dx.doi.org/10.1080/17435390.2019.1650970
,2019, 'Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT', IEEE Transactions on Medical Imaging, 38, pp. 991 - 1004, http://dx.doi.org/10.1109/TMI.2018.2876510
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