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Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation
Annotation scarcity is a long-standing problem in medical image analysis...
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Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
Supervised learning under label noise has seen numerous advances recentl...
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Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
For multi-class classification under class-conditional label noise, we p...
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Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery
Automatic surgical gesture recognition is fundamentally important to ena...
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DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets
Deep convolutional neural networks have significantly boosted the perfor...
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Towards Cross-modality Medical Image Segmentation with Online Mutual Knowledge Distillation
The success of deep convolutional neural networks is partially attribute...
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Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation
Deep learning methods show promising results for overlapping cervical ce...
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Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization
The generalization capability of neural networks across domains is cruci...
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Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation
Medical image annotations are prohibitively time-consuming and expensive...
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Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video
Performing low hertz labeling for surgical videos at intervals can great...
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Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains
Model generalization capacity at domain shift (e.g., various imaging pro...
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A Learning-Driven Framework with Spatial Optimization For Surgical Suture Thread Reconstruction and Autonomous Grasping Under Multiple Topologies and Environmental Noises
Surgical knot tying is one of the most fundamental and important procedu...
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DNF-Net: a Deep Normal Filtering Network for Mesh Denoising
This paper presents a deep normal filtering network, called DNF-Net, for...
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Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Deep learning approaches have demonstrated remarkable progress in automa...
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Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model
Training deep neural networks usually requires a large amount of labeled...
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Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes
Background and Objective: Biometric measurements of fetal head are impor...
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LRTD: Long-Range Temporal Dependency based Active Learning for Surgical Workflow Recognition
Automatic surgical workflow recognition in video is an essentially funda...
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Robust Medical Instrument Segmentation Challenge 2019
Intraoperative tracking of laparoscopic instruments is often a prerequis...
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A Rotation-Invariant Framework for Deep Point Cloud Analysis
Recently, many deep neural networks were designed to process 3D point cl...
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PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
We present PointAugment, a new auto-augmentation framework that automati...
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Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion
Accurate medical image segmentation commonly requires effective learning...
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Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search
Automatic surgical gesture recognition is fundamental for improving inte...
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MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data
Automated prostate segmentation in MRI is highly demanded for computer-a...
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Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
Unsupervised domain adaptation has increasingly gained interest in medic...
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Unpaired Multi-modal Segmentation via Knowledge Distillation
Multi-modal learning is typically performed with network architectures c...
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Instance Shadow Detection
Instance shadow detection is a brand new problem, aiming to find shadow ...
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Revisiting Shadow Detection: A New Benchmark Dataset for Complex World
Shadow detection in general photos is a nontrivial problem, due to the c...
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CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading
Diabetic retinopathy (DR) and diabetic macular edema (DME) are the leadi...
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FetusMap: Fetal Pose Estimation in 3D Ultrasound
The 3D ultrasound (US) entrance inspires a multitude of automated prenat...
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Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound
Standard plane localization is crucial for ultrasound (US) diagnosis. In...
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An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis
Automated skin lesion analysis is very crucial in clinical practice, as ...
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CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
Colorectal cancer (CRC) grading is typically carried out by assessing th...
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Joint Segmentation and Landmark Localization of Fetal Femur in Ultrasound Volumes
Volumetric ultrasound has great potentials in promoting prenatal examina...
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IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation
Cell instance segmentation in Pap smear image remains challenging due to...
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Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening
Optical Coherence Tomography (OCT) imaging plays an important role in gl...
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PU-GAN: a Point Cloud Upsampling Adversarial Network
Point clouds acquired from range scans are often sparse, noisy, and non-...
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Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video
Automatic instrument segmentation in video is an essentially fundamental...
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Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation
Training deep convolutional neural networks usually requires a large amo...
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Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis
Surgical tool presence detection and surgical phase recognition are two ...
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Revisiting Metric Learning for Few-Shot Image Classification
The goal of few-shot learning is to recognize new visual concepts with j...
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Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration
Brain image registration transforms a pair of images into one system wit...
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Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
Automatic prostate segmentation in transrectal ultrasound (TRUS) images ...
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Difficulty-aware Meta-Learning for Rare Disease Diagnosis
Rare diseases have extremely low-data regimes, unlike common diseases wi...
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Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation
Accurate segmentation of the optic disc (OD) and cup (OC)in fundus image...
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Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis
Accurate and automatic analysis of breast MRI plays an important role in...
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Unsupervised Detection of Distinctive Regions on 3D Shapes
This paper presents a novel approach to learn and detect distinctive reg...
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PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis
Automatic detection of cancer metastasis from whole slide images (WSIs) ...
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Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data
This paper presents a new method for shadow removal using unpaired data,...
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SAC-Net: Spatial Attenuation Context for Salient Object Detection
This paper presents a new deep neural network design for salient object ...
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CIA-Net: Robust Nuclei Instance Segmentation with Contour-aware Information Aggregation
Accurate segmenting nuclei instances is a crucial step in computer-aided...
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