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09/18/2023
Ugly Ducklings or Swans: A Tiered Quadruplet Network with Patient-Specific Mining for Improved Skin Lesion Classification
An ugly duckling is an obviously different skin lesion from surrounding ...
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09/15/2023
Privacy-preserving Early Detection of Epileptic Seizures in Videos
In this work, we contribute towards the development of video-based epile...
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07/21/2023
EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos
Reconstructing soft tissues from stereo endoscope videos is an essential...
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05/08/2023
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition
Long-tailed multi-label visual recognition (LTML) task is a highly chall...
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05/01/2023
TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification
Digital pathology based on whole slide images (WSIs) plays a key role in...
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04/08/2023
Towards Open-Scenario Semi-supervised Medical Image Classification
Semi-supervised learning (SSL) has attracted much attention since it red...
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04/04/2023
EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition
Skin lesion recognition using deep learning has made remarkable progress...
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03/02/2023
Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision
Deep neural networks have demonstrated promising performance on image re...
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11/22/2022
Multimorbidity Content-Based Medical Image Retrieval Using Proxies
Content-based medical image retrieval is an important diagnostic tool th...
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10/11/2022
3D Matting: A Benchmark Study on Soft Segmentation Method for Pulmonary Nodules Applied in Computed Tomography
Usually, lesions are not isolated but are associated with the surroundin...
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09/16/2022
3D Matting: A Soft Segmentation Method Applied in Computed Tomography
Three-dimensional (3D) images, such as CT, MRI, and PET, are common in m...
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08/17/2022
Leukocyte Classification using Multimodal Architecture Enhanced by Knowledge Distillation
Recently, a lot of automated white blood cells (WBC) or leukocyte classi...
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07/25/2022
Deep Laparoscopic Stereo Matching with Transformers
The self-attention mechanism, successfully employed with the transformer...
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07/08/2022
Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization
Existing unsupervised domain adaptation methods based on adversarial lea...
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06/30/2022
Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images
Recent years have witnessed a rapid development of automated methods for...
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06/18/2022
Camera Adaptation for Fundus-Image-Based CVD Risk Estimation
Recent studies have validated the association between cardiovascular dis...
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04/07/2022
Flexible Sampling for Long-tailed Skin Lesion Classification
Most of the medical tasks naturally exhibit a long-tailed distribution d...
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03/23/2022
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization
The key towards learning informative node representations in graphs lies...
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03/14/2022
Implicit Motion Handling for Video Camouflaged Object Detection
We propose a new video camouflaged object detection (VCOD) framework tha...
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03/02/2022
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation
Semi-supervised segmentation remains challenging in medical imaging sinc...
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01/28/2022
Label uncertainty-guided multi-stream model for disease screening
The annotation of disease severity for medical image datasets often reli...
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01/27/2022
Anomaly Detection in Retinal Images using Multi-Scale Deep Feature Sparse Coding
Convolutional Neural Network models have successfully detected retinal i...
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11/19/2021
Medical Visual Question Answering: A Survey
Medical Visual Question Answering (VQA) is a combination of medical arti...
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11/17/2021
Long-Tailed Multi-Label Retinal Diseases Recognition Using Hierarchical Information and Hybrid Knowledge Distillation
In the real world, medical datasets often exhibit a long-tailed data dis...
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10/21/2021
Evaluation of Various Open-Set Medical Imaging Tasks with Deep Neural Networks
The current generation of deep neural networks has achieved close-to-hum...
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10/12/2021
Early Melanoma Diagnosis with Sequential Dermoscopic Images
Dermatologists often diagnose or rule out early melanoma by evaluating t...
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09/21/2021
Enforcing Mutual Consistency of Hard Regions for Semi-supervised Medical Image Segmentation
In this paper, we proposed a novel mutual consistency network (MC-Net+) ...
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08/04/2021
Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization
Retinal vessel segmentation plays a key role in computer-aided screening...
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06/18/2021
Medical Matting: A New Perspective on Medical Segmentation with Uncertainty
In medical image segmentation, it is difficult to mark ambiguous areas a...
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04/22/2021
Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition
In the real world, medical datasets often exhibit a long-tailed data dis...
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03/04/2021
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training
Semi-supervised learning has attracted great attention in the field of m...
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02/28/2021
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation
Deep neural networks are known to be data-driven and label noise can hav...
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11/27/2020
Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling
Recently, ultra-widefield (UWF) 200-degree fundus imaging by Optos camer...
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10/26/2020
Hierarchical Neural Architecture Search for Deep Stereo Matching
To reduce the human efforts in neural network design, Neural Architectur...
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06/19/2020
Melanoma Diagnosis with Spatio-Temporal Feature Learning on Sequential Dermoscopic Images
Existing studies for automated melanoma diagnosis are based on single-ti...
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03/24/2020
Synergic Adversarial Label Learning with DR and AMD for Retinal Image Grading
The need for comprehensive and automated screening methods for retinal i...
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03/23/2020
Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation
For decades, advances in retinal imaging technology have enabled effecti...
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03/12/2020
ZSTAD: Zero-Shot Temporal Activity Detection
An integral part of video analysis and surveillance is temporal activity...
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10/11/2019
Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation
Recent works show that Generative Adversarial Networks (GANs) can be suc...
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07/09/2019
Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention
Lesion detection from computed tomography (CT) scans is challenging comp...
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03/25/2019
Combining Transfer Learning And Segmentation Information with GANs for Training Data Independent Image Registration
Registration is an important task in automated medical image analysis. A...
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03/19/2019
Geometry-constrained Car Recognition Using a 3D Perspective Network
We present a novel learning framework for vehicle recognition from a sin...
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03/19/2019
3DCarRecog: Car Recognition Using 3D Bounding Box
We present a novel learning framework for vehicle recognition from a sin...
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02/24/2019
Model-less Active Compliance for Continuum Robots using Recurrent Neural Networks
Endowing continuum robots with compliance while it is interacting with t...
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08/22/2018
Deep multiscale convolutional feature learning for weakly supervised localization of chest pathologies in X-ray images
Localization of chest pathologies in chest X-ray images is a challenging...
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07/19/2018
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem
The widely used ChestX-ray14 dataset addresses an important medical imag...
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07/24/2017
Generative OpenMax for Multi-Class Open Set Classification
We present a conceptually new and flexible method for multi-class open s...
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08/01/2016
Exploiting Temporal Information for DCNN-based Fine-Grained Object Classification
Fine-grained classification is a relatively new field that has concentra...
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02/02/2016
Simple Online and Realtime Tracking
This paper explores a pragmatic approach to multiple object tracking whe...
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11/30/2015
