SCI时时刷

search
SSD-KD: A self-supervised diverse knowledge distillation method for lightweight skin lesion classification using dermoscopic images
Skin cancer is among the most common human malignancies globally, especially among the fair-skinned population. Over the p...
Orthogonal latent space learning with feature weighting and graph learning for multimodal Alzheimer’s disease diagnosis
Alzheimer’s disease (AD), a progressive neurodegenerative disease, is characterized by the accumulation of beta-amyloid pl...
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI
Dynamic MRI has shown clinical values in free-breathing lesion detection (Feng et al., 2020), motion-corrected PET reconst...
Mitosis domain generalization in histopathology images — The MIDOG challenge
With around 2.3 million cases in 2020, breast cancer is one of the cancer types with the highest prevalence (Wild et al., ...
From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping
Exploring brain anatomo-functional relationship has always been a core issue in neuroscience (De Benedictis et al., 2014, ...
RadFormer: Transformers with global–local attention for interpretable and accurate Gallbladder Cancer detection
Recently, Deep Neural Networks (DNNs) have shown remarkable performance in a variety of medical imaging tasks, including c...
Deep learning for computational cytology: A survey
Cytology (also known as cytopathology) is the examination of cells from body tissues or fluids under microscope, usually f...
Co-learning of appearance and shape for precise ejection fraction estimation from echocardiographic sequences
Methods for automated EF estimation can be completed by a two-stage procedure: LV segmentation from the apical two-chamber...
Symmetry-based regularization in deep breast cancer screening
Breast cancer is the most common and lethal form of cancer in women, accounting for one fourth of the total number of new ...
Signed graph representation learning for functional-to-structural brain network mapping
Recent years have witnessed great progress in applying graph theory to study MRI-derived brain networks, to discover novel...
QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration
Magnetic resonance (MR)-guided radiotherapy (RTP) is a potentially practice-changing technology that allows for the precis...
Information bottleneck-based interpretable multitask network for breast cancer classification and segmentation
According to data from 2021 Cancer Statistics, breast cancer has surpassed lung cancer and ranks first among all new femal...
Editorial for the MEDIA MICCAI special issue 2021
Volume 83, January 2023, 102695Author links open overlay panelMarleende BruijnePhilippe C.CattinStéphaneCotinNicolasPadoyS...
Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images
Diabetes mellitus is the global epidemic of the 21st century. The global diabetes prevalence is estimated to be 10.2% (578...
DragNet: Learning-based deformable registration for realistic cardiac MR sequence generation from a single frame
Deformable image registration (DIR) can be used to track cardiac motion. Conventional DIR algorithms aim to establish a de...
Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior
Myocardial motion and deformation are rich descriptors that characterize cardiac function. Image registration, as the most...
SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images
In 2014, World Cancer Report by World Health Organization’s (WHO) International Agency for Research on Cancer (IARC) predi...
One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification
The recent surge in performance for image analysis of digitised pathology slides can largely be attributed to the advances...
SD-CNN: A static-dynamic convolutional neural network for functional brain networks
Functional brain connections, the statistical dependency between distinct brain regions, are usually inferred from the res...
Segmentation with mixed supervision: Confidence maximization helps knowledge distillation
The advent of deep learning has led to the emergence of high-performance models which currently dominate the medical image...
Deep label fusion: A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation
In recent years, deep convolutional neural network (DCNN) algorithms based on the U-Net architecture (Çiçek et al., 2016; ...
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling
Glioblastoma (GBM) is the most aggressive brain tumor, characterized by varying and unknown infiltration into the surround...
An explainable deep learning framework for characterizing and interpreting human brain states
Volume 83, January 2023, 102665Highlights•Domain knowledge informed SAGPool is proposed to characterize the brain states.•...
Volumetric memory network for interactive medical image segmentation
Despite recent progress of automatic medical image segmentation techniques, fully automatic results usually fail to meet c...
Weakly supervised inference of personalized heart meshes based on echocardiography videos
Volume 83, January 2023, 102653Highlights•The visualization of patient-specific dynamic 3D cardiac models is of fundamenta...
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation
Volume 83, January 2023, 102656Highlights•Propose a new low-coupling multi-modal semi-supervised segmentation framework.•T...
Tunable image quality control of 3-D ultrasound using switchable CycleGAN
Volume 83, January 2023, 102651Highlights•Unsupervised method for 3-D ultrasound image quality enhancement task.•Adaptive ...
A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images
Cancer region detection (CRD) and subtyping are two fundamental tasks in digital pathology image analysis. The development...
Semi-supervised body parsing and pose estimation for enhancing infant general movement assessment
Volume 83, January 2023, 102654Highlights•A novel semi-supervised framework for body paring and pose estimation in IMVs•Fa...