2025
Prompt-Driven Latent Domain Generalization for Medical Image Classification.
IEEE Trans. Medical Imaging, January, 2025
Multi-Label Generalized Zero Shot Chest X-Ray Classification by Combining Image-Text Information With Feature Disentanglement.
IEEE Trans. Medical Imaging, January, 2025
Adaptive transformer modelling of density function for nonparametric survival analysis.
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Mach. Learn., January, 2025
Hierarchical skin lesion image classification with prototypical decision tree.
npj Digit. Medicine, 2025
Channel-annotated deep learning for enhanced interpretability in EEG-based seizure detection.
Biomed. Signal Process. Control., 2025
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
AI sees beyond humans: automated diagnosis of myopia based on peripheral refraction map using interpretable deep learning.
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J. Big Data, December, 2024
Development and evaluation of a deep learning model for automatic segmentation of non-perfusion area in fundus fluorescein angiography.
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J. Big Data, December, 2024
Hierarchical Knowledge Guided Learning for Real-World Retinal Disease Recognition.
IEEE Trans. Medical Imaging, January, 2024
ALFREDO: Active Learning with FeatuRe disEntangelement and DOmain adaptation for medical image classification.
Medical Image Anal., 2024
GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification.
Medical Image Anal., 2024
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation.
CoRR, 2024
Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP.
CoRR, 2024
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining.
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CoRR, 2024
A General-Purpose Multimodal Foundation Model for Dermatology.
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CoRR, 2024
SynFER: Towards Boosting Facial Expression Recognition with Synthetic Data.
CoRR, 2024
MONICA: Benchmarking on Long-tailed Medical Image Classification.
CoRR, 2024
Discriminating retinal microvascular and neuronal differences related to migraines: Deep Learning based Crossectional Study.
CoRR, 2024
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models.
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CoRR, 2024
Diffusion Model Driven Test-Time Image Adaptation for Robust Skin Lesion Classification.
CoRR, 2024
Generalizing CLIP to Unseen Domain via Text-Guided Diverse Novel Feature Synthesis.
CoRR, 2024
A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities.
CoRR, 2024
Developing an Ethical Regulatory Framework for Artificial Intelligence: Integrating Systematic Review, Thematic Analysis, and Multidisciplinary Theories.
IEEE Access, 2024
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models.
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Universal Semi-supervised Learning for Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
A Tiered Quadruplet Network with Patient-Specific Mining and Dynamic Margin for Improved ugly Duckling Lesion Classification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
EventRPG: Event Data Augmentation with Relevance Propagation Guidance.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding.
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Proceedings of the Computer Vision - ECCV 2024, 2024
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Diversified and Personalized Multi-Rater Medical Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Automated segmentation of choroidal neovascularization on optical coherence tomography angiography images of neovascular age-related macular degeneration patients based on deep learning.
J. Big Data, December, 2023
Retinal photograph-based deep learning system for detection of hyperthyroidism: a multicenter, diagnostic study.
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J. Big Data, December, 2023
Dual-branch cross-dimensional self-attention-based imputation model for multivariate time series.
Knowl. Based Syst., November, 2023
Medical visual question answering: A survey.
Artif. Intell. Medicine, September, 2023
Normal vibration distribution search-based differential evolution algorithm for multimodal biomedical image registration.
Neural Comput. Appl., August, 2023
Medical matting: Medical image segmentation with uncertainty from the matting perspective.
Comput. Biol. Medicine, May, 2023
Contrastive pre-training and linear interaction attention-based transformer for universal medical reports generation.
J. Biomed. Informatics, February, 2023
Generative Metric Learning for Adversarially Robust Open-world Person Re-Identification.
ACM Trans. Multim. Comput. Commun. Appl., January, 2023
Part to Whole: Collaborative Prompting for Surgical Instrument Segmentation.
CoRR, 2023
Revamping AI Models in Dermatology: Overcoming Critical Challenges for Enhanced Skin Lesion Diagnosis.
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CoRR, 2023
Ugly Ducklings or Swans: A Tiered Quadruplet Network with Patient-Specific Mining for Improved Skin Lesion Classification.
CoRR, 2023
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition.
CoRR, 2023
TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification.
CoRR, 2023
Towards Open-Scenario Semi-supervised Medical Image Classification.
CoRR, 2023
EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition.
CoRR, 2023
Multimorbidity Content-Based Medical Image Retrieval and Disease Recognition Using Multi-Label Proxy Metric Learning.
IEEE Access, 2023
NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the Medical Imaging with Deep Learning, 2023
Deep Survival Analysis in Multiple Sclerosis.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023
EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Retinal Age Estimation with Temporal Fundus Images Enhanced Progressive Label Distribution Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
EPVT: Environment-Aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Privacy-Preserving Early Detection of Epileptic Seizures in Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Style-Based Manifold for Weakly-Supervised Disease Characteristic Discovery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Suspicious Naevi Classification Using Auxiliary Classifier Generative Adversarial Network.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraints and Adaptive Semantic Alignment.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Early Melanoma Diagnosis With Sequential Dermoscopic Images.
IEEE Trans. Medical Imaging, 2022
Self-Supervised Generalized Zero Shot Learning for Medical Image Classification Using Novel Interpretable Saliency Maps.
IEEE Trans. Medical Imaging, 2022
Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation.
IEEE Trans. Medical Imaging, 2022
Pseudo-Pair Based Self-Similarity Learning for Unsupervised Person Re-Identification.
IEEE Trans. Image Process., 2022
Auto-FSL: Searching the Attribute Consistent Network for Few-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022
Autonomous Incident Detection on Spectrometers Using Deep Convolutional Models.
Sensors, 2022
Contextual ensemble network for semantic segmentation.
Pattern Recognit., 2022
ZeroNAS: Differentiable Generative Adversarial Networks Search for Zero-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Mutual consistency learning for semi-supervised medical image segmentation.
Medical Image Anal., 2022
Multimorbidity Content-Based Medical Image Retrieval Using Proxies.
CoRR, 2022
3D Matting: A Soft Segmentation Method Applied in Computed Tomography.
CoRR, 2022
3D matting: A benchmark study on soft segmentation method for pulmonary nodules applied in computed tomography.
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Comput. Biol. Medicine, 2022
ASPIRER: a new computational approach for identifying non-classical secreted proteins based on deep learning.
Briefings Bioinform., 2022
RBP-TSTL is a two-stage transfer learning framework for genome-scale prediction of RNA-binding proteins.
Briefings Bioinform., 2022
MR Image Super Resolution By Combining Feature Disentanglement CNNs and Vision Transformers.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Leukocyte Classification Using Multimodal Architecture Enhanced by Knowledge Distillation.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Out-of-Distribution Detection for Long-Tailed and Fine-Grained Skin Lesion Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Camera Adaptation for Fundus-Image-Based CVD Risk Estimation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Flexible Sampling for Long-Tailed Skin Lesion Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Unsupervised Domain Adaptive Fundus Image Segmentation with Category-Level Regularization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Deep Laparoscopic Stereo Matching with Transformers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
A Label Uncertainty-Guided Multi-Stream Model for Disease Screening.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Anomaly Detection In Retinal Images Using Multi-Scale Deep Feature Sparse Coding.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Implicit Motion Handling for Video Camouflaged Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Learning Network Architecture for Open-Set Recognition.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling.
IEEE Trans. Medical Imaging, 2021
Keyframe Extraction From Laparoscopic Videos via Diverse and Weighted Dictionary Selection.
IEEE J. Biomed. Health Informatics, 2021
Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-Task Learning.
IEEE J. Biomed. Health Informatics, 2021
One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting.
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Incremental learning for exudate and hemorrhage segmentation on fundus images.
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Inf. Fusion, 2021
Long-Tailed Multi-Label Retinal Diseases Recognition Using Hierarchical Information and Hybrid Knowledge Distillation.
CoRR, 2021
Evaluation of Various Open-Set Medical Imaging Tasks with Deep Neural Networks.
CoRR, 2021
Enforcing Mutual Consistency of Hard Regions for Semi-supervised Medical Image Segmentation.
CoRR, 2021
Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization.
CoRR, 2021
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation.
CoRR, 2021
OCTID: a one-class learning-based Python package for tumor image detection.
Bioinform., 2021
Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework.
Briefings Bioinform., 2021
End-to-End Ugly Duckling Sign Detection for Melanoma Identification with Transformers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Medical Matting: A New Perspective on Medical Segmentation with Uncertainty.
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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
Self-supervised Learning of Inter-label Geometric Relationships for Gleason Grade Segmentation.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
Self-supervised Multimodal Generalized Zero Shot Learning for Gleason Grading.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
Relational Subsets Knowledge Distillation for Long-Tailed Retinal Diseases Recognition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Retrospective Class Incremental Learning.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Robust early-learning: Hindering the memorization of noisy labels.
Proceedings of the 9th International Conference on Learning Representations, 2021
Medical Image Classification Using Generalized Zero Shot Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Vision-Language Navigation with Random Environmental Mixup.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
Progressive Transfer Learning and Adversarial Domain Adaptation for Cross-Domain Skin Disease Classification.
IEEE J. Biomed. Health Informatics, 2020
Training data independent image registration using generative adversarial networks and domain adaptation.
Pattern Recognit., 2020
Improving multi-label chest X-ray disease diagnosis by exploiting disease and health labels dependencies.
Multim. Tools Appl., 2020
Skin lesion segmentation via generative adversarial networks with dual discriminators.
Medical Image Anal., 2020
Melanoma Diagnosis with Spatio-Temporal Feature Learning on Sequential Dermoscopic Images.
CoRR, 2020
Synergic Adversarial Label Learning with DR and AMD for Retinal Image Grading.
CoRR, 2020
Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation.
CoRR, 2020
PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins.
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Bioinform., 2020
Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Hierarchical Neural Architecture Search for Deep Stereo Matching.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Improve Unseen Domain Generalization via Enhanced Local Color Transformation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Registration of Histopathology Images Using Self Supervised Fine Grained Feature Maps.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020
Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
ZSTAD: Zero-Shot Temporal Activity Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Epileptic Seizure Detection Using Convolutional Neural Network: A Multi-Biosignal study.
Proceedings of the Australasian Computer Science Week, 2020
Geometry-Constrained Car Recognition Using a 3D Perspective Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Knowledge driven temporal activity localization.
J. Vis. Commun. Image Represent., 2019
Adversarial discriminative sim-to-real transfer of visuo-motor policies.
Int. J. Robotics Res., 2019
Combining Transfer Learning And Segmentation Information with GANs for Training Data Independent Image Registration.
CoRR, 2019
Underwater Image High Definition Display Using the Multilayer Perceptron and Color Feature-Based SRCNN.
IEEE Access, 2019
Adversarial Pulmonary Pathology Translation for Pairwise Chest X-Ray Data Augmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Retinal Abnormalities Recognition Using Regional Multitask Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Training Data Independent Image Registration with Gans Using Transfer Learning and Segmentation Information.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Model-less Active Compliance for Continuum Robots using Recurrent Neural Networks.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
2018
Learning Context Flexible Attention Model for Long-Term Visual Place Recognition.
IEEE Robotics Autom. Lett., 2018
FDCNet: filtering deep convolutional network for marine organism classification.
Multim. Tools Appl., 2018
Editorial: Artificial Intelligence for Mobile Robotic Networks.
Mob. Networks Appl., 2018
Structured deep hashing with convolutional neural networks for fast person re-identification.
Comput. Vis. Image Underst., 2018
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem.
CoRR, 2018
Deep Multiscale Convolutional Feature Learning for Weakly Supervised Localization of Chest Pathologies in X-ray Images.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Joint Registration And Segmentation Of Xray Images Using Generative Adversarial Networks.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
2017
Generative OpenMax for Multi-Class Open Set Classification.
CoRR, 2017
Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Exploiting local and generic features for accurate skin lesions classification using clinical and dermoscopy imaging.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Tree-loss function for training neural networks on weakly-labelled datasets.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Investigating deep side layers for skin lesion segmentation.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Generative OpenMax for Multi-Class Open Set Classification.
Proceedings of the British Machine Vision Conference 2017, 2017
2016
DeepFruits: A Fruit Detection System Using Deep Neural Networks.
Sensors, 2016
Fine-grained classification via mixture of deep convolutional neural networks.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016
Simple online and realtime tracking.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Exploiting Temporal Information for DCNN-Based Fine-Grained Object Classification.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016
Feature Learning via Mixtures of DCNNs for Fine-Grained Plant Classification.
Proceedings of the Working Notes of CLEF 2016, 2016
2015
Distance metric learning for feature-agnostic place recognition.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015
Modelling local deep convolutional neural network features to improve fine-grained image classification.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Fine-grained bird species recognition via hierarchical subset learning.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Subset feature learning for fine-grained category classification.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015
Content Specific Feature Learning for Fine-Grained Plant Classification.
Proceedings of the Working Notes of CLEF 2015, 2015
2014
Local inter-session variability modelling for object classification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014