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08/02/2023
CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion
The U-shaped architecture has emerged as a crucial paradigm in the desig...
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07/20/2023
WeakPolyp: You Only Look Bounding Box for Polyp Segmentation
Limited by expensive pixel-level labels, polyp segmentation models are p...
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06/27/2023
Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction
Emerging neural reconstruction techniques based on tomography (e.g., NeR...
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06/13/2023
UOD: Universal One-shot Detection of Anatomical Landmarks
One-shot medical landmark detection gains much attention and achieves gr...
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06/08/2023
Unsupervised augmentation optimization for few-shot medical image segmentation
The augmentation parameters matter to few-shot semantic segmentation sin...
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05/11/2023
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation
Domain shift and label scarcity heavily limit deep learning applications...
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05/07/2023
PELE scores: Pelvic X-ray Landmark Detection by Pelvis Extraction and Enhancement
The pelvis, the lower part of the trunk, supports and balances the trunk...
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04/11/2023
Unified Multi-Modal Image Synthesis for Missing Modality Imputation
Multi-modal medical images provide complementary soft-tissue characteris...
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04/02/2023
FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising
Low-count PET is an efficient way to reduce radiation exposure and acqui...
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03/25/2023
Causal Image Synthesis of Brain MR in 3D
Clinical decision making requires counterfactual reasoning based on a fa...
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03/24/2023
Evidence-aware multi-modal data fusion and its application to total knee replacement prediction
Deep neural networks have been widely studied for predicting a medical c...
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03/19/2023
DuDoRNeXt: A hybrid model for dual-domain undersampled MRI reconstruction
Undersampled MRI reconstruction is crucial for accelerating clinical sca...
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03/16/2023
GDDS: Pulmonary Bronchioles Segmentation with Group Deep Dense Supervision
Airway segmentation, especially bronchioles segmentation, is an importan...
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03/15/2023
FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification
Deep learning is becoming increasingly ubiquitous in medical research an...
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03/11/2023
O2CTA: Introducing Annotations from OCT to CCTA in Coronary Plaque Analysis
Targeted diagnosis and treatment plans for patients with coronary artery...
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03/09/2023
Distortion-Disentangled Contrastive Learning
Self-supervised learning is well known for its remarkable performance in...
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02/09/2023
Mixed-order self-paced curriculum learning for universal lesion detection
Self-paced curriculum learning (SCL) has demonstrated its great potentia...
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02/08/2023
Multi-site Organ Segmentation with Federated Partial Supervision and Site Adaptation
Objective and Impact Statement: Accurate organ segmentation is critical ...
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02/03/2023
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
For medical image segmentation, contrastive learning is the dominant pra...
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12/24/2022
MURPHY: Relations Matter in Surgical Workflow Analysis
Autonomous robotic surgery has advanced significantly based on analysis ...
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12/07/2022
BoxPolyp:Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations
Accurate polyp segmentation is of great importance for colorectal cancer...
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12/05/2022
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation
While deep learning methods hitherto have achieved considerable success ...
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11/14/2022
Information-guided pixel augmentation for pixel-wise contrastive learning
Contrastive learning (CL) is a form of self-supervised learning and has ...
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11/04/2022
MONAI: An open-source framework for deep learning in healthcare
Artificial Intelligence (AI) is having a tremendous impact across most a...
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11/03/2022
Active CT Reconstruction with a Learned Sampling Policy
Computed tomography (CT) is a widely-used imaging technology that assist...
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10/11/2022
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images
Medical image super-resolution (SR) is an active research area that has ...
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09/27/2022
A Survey of Fairness in Medical Image Analysis: Concepts, Algorithms, Evaluations, and Challenges
Fairness, a criterion focuses on evaluating algorithm performance on dif...
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08/30/2022
Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising
Fluoroscopy is an imaging technique that uses X-ray to obtain a real-tim...
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08/17/2022
REGAS: REspiratory-GAted Synthesis of Views for Multi-Phase CBCT Reconstruction from a single 3D CBCT Acquisition
It is a long-standing challenge to reconstruct Cone Beam Computed Tomogr...
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06/02/2022
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Transformer, the latest technological advance of deep learning, has gain...
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03/13/2022
SATr: Slice Attention with Transformer for Universal Lesion Detection
Universal Lesion Detection (ULD) in computed tomography plays an essenti...
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03/12/2022
DATR: Domain-adaptive transformer for multi-domain landmark detection
Accurate anatomical landmark detection plays an increasingly vital role ...
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03/12/2022
DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection
Automated salient object detection (SOD) plays an increasingly crucial r...
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03/10/2022
Recovering medical images from CT film photos
While medical images such as computed tomography (CT) are stored in DICO...
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03/08/2022
Towards performant and reliable undersampled MR reconstruction via diffusion model sampling
Magnetic Resonance (MR) image reconstruction from under-sampled acquisit...
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03/07/2022
Undersampled MRI Reconstruction with Side Information-Guided Normalisation
Magnetic resonance (MR) images exhibit various contrasts and appearances...
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03/05/2022
Rib Suppression in Digital Chest Tomosynthesis
Digital chest tomosynthesis (DCT) is a technique to produce sectional 3D...
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03/04/2022
3D endoscopic depth estimation using 3D surface-aware constraints
Robotic-assisted surgery allows surgeons to conduct precise surgical ope...
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03/04/2022
MixCL: Pixel label matters to contrastive learning
Contrastive learning and self-supervised techniques have gained prevalen...
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03/04/2022
Learning Incrementally to Segment Multiple Organs in a CT Image
There exists a large number of datasets for organ segmentation, which ar...
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03/04/2022
Universal Segmentation of 33 Anatomies
In the paper, we present an approach for learning a single model that un...
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03/03/2022
Relative distance matters for one-shot landmark detection
Contrastive learning based methods such as cascade comparing to detect (...
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12/30/2021
Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment
In clinics, a radiology report is crucial for guiding a patient's treatm...
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12/07/2021
Which images to label for few-shot medical landmark detection?
The success of deep learning methods relies on the availability of well-...
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11/22/2021
Medical Aegis: Robust adversarial protectors for medical images
Deep neural network based medical image systems are vulnerable to advers...
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11/21/2021
DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT Reconstruction
While Computed Tomography (CT) reconstruction from X-ray sinograms is ne...
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10/18/2021
GAN-based disentanglement learning for chest X-ray rib suppression
Clinical evidence has shown that rib-suppressed chest X-rays (CXRs) can ...
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08/02/2021
Shallow Attention Network for Polyp Segmentation
Accurate polyp segmentation is of great importance for colorectal cancer...
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06/24/2021
Where is the disease? Semi-supervised pseudo-normality synthesis from an abnormal image
Pseudo-normality synthesis, which computationally generates a pseudo-nor...
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05/31/2021