Computerized Medical Imaging and Graphics

Papers
(The TQCC of Computerized Medical Imaging and Graphics is 9. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Multimodal Cross Global Learnable Attention Network for MR images denoising with arbitrary modal missing460
Z-SSMNet: Zonal-aware Self-supervised Mesh Network for prostate cancer detection and diagnosis with Bi-parametric MRI92
Multi modality fusion transformer with spatio-temporal feature aggregation module for psychiatric disorder diagnosis91
Unsupervised classification of multi-contrast magnetic resonance histology of peripheral arterial disease lesions using a convolutional variational autoencoder with a Gaussian mixture model in latent 74
Unsupervised adversarial neural network for enhancing vasculature in photoacoustic tomography images using optical coherence tomography angiography68
Unpaired virtual histological staining using prior-guided generative adversarial networks65
A VVBP data-based pancreatic lesion detection model with noncontrast CT64
SFPGCL: Specificity-preserving federated population graph contrastive learning for multi-site ASD identification using rs-fMRI data63
DB-SNet: A dual branch network for aortic component segmentation and lesion localization61
Head pose-assisted localization of facial landmarks for enhanced fast registration in skull base surgery56
Editorial Board49
A transformer-based hierarchical registration framework for multimodality deformable image registration45
Interpretable attention-based deep learning ensemble for personalized ovarian cancer treatment without manual annotations39
Segmentation of pelvic structures in T2 MRI via MR-to-CT synthesis38
Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms37
Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review37
Subtraction-free artifact-aware digital subtraction angiography image generation for head and neck vessels from motion data37
Prior knowledge-based multi-task learning network for pulmonary nodule classification36
Portable head CT motion artifact correction via diffusion-based generative model34
Self-supervised network predicting neoadjuvant chemoradiotherapy response to locally advanced rectal cancer patients33
DSIFNet: Implicit feature network for nasal cavity and vestibule segmentation from 3D head CT31
Accurate segmentation of liver tumor from multi-modality non-contrast images using a dual-stream multi-level fusion framework30
Lightweight wavelet convolutional network for guidewire segmentation30
CardSegNet: An adaptive hybrid CNN-vision transformer model for heart region segmentation in cardiac MRI30
SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage30
LA-ResUNet: Attention-based network for longitudinal liver tumor segmentation from CT images30
Editorial Board29
C2BA-UNet: A c29
Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase29
Intracranial steno-occlusive lesion detection on time-of-flight MR angiography using multi-task learning28
Interpretable multi-stage attention network to predict cancer subtype, microsatellite instability, TP53 mutation and TMB of endometrial and colorectal cancer27
A lung biopsy path planning algorithm based on the double spherical constraint Pareto and indicators’ importance-correlation degree26
Multimodal data fusion with irregular PSA kinetics for automated prostate cancer grading26
IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation26
WISE: Efficient WSI selection for active learning in histopathology26
A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques25
A multimodal skin lesion classification through cross-attention fusion and collaborative edge computing25
Hierarchical attention fusion of EUS-doppler features for GISTs risk assessment25
Self-supervised multi-modal feature fusion for predicting early recurrence of hepatocellular carcinoma24
A novel wavelet-transform-based convolution classification network for cervical lymph node metastasis of papillary thyroid carcinoma in ultrasound images24
Improving segmentation and detection of lesions in CT scans using intensity distribution supervision24
Enhancing cardiac function assessment: Developing and validating a domain adaptive framework for automating the segmentation of echocardiogram videos23
Semi-supervised hybrid spine network for segmentation of spine MR images23
Detection of Alzheimer’s disease using features of brain region-of-interest-based individual network constructed with the sMRI image23
Automated segmentation of deep brain structures from Inversion-Recovery MRI23
Incremental learning for an evolving stream of medical ultrasound images via counterfactual thinking23
A multi-backbone cascade and morphology-aware segmentation network for complex morphological X-ray coronary artery images22
An automatic radiomic-based approach for disease localization: A pilot study on COVID-1922
A self-attention model for robust rigid slice-to-volume registration of functional MRI22
SML-Net: Semi-supervised multi-task learning network for carotid plaque segmentation and classification21
Accurate and fast monocular endoscopic depth estimation of structure-content integrated diffusion21
3D-QCNet – A pipeline for automated artifact detection in diffusion MRI images21
A comparison of an integrated and image-only deep learning model for predicting the disappearance of indeterminate pulmonary nodules20
A novel population-characteristic weighted sparse model for accurate respiratory motion prediction in CT-guided lung cancer interventions20
CQENet: A segmentation model for nasopharyngeal carcinoma based on confidence quantitative evaluation20
Uninformed Teacher-Student for hard-samples distillation in weakly supervised mitosis localization19
CALIMAR-GAN: An unpaired mask-guided attention network for metal artifact reduction in CT scans19
Measuring variability of local brain volume using improved volume preserved warping18
Deep reinforcement learning framework for thoracic diseases classification via prior knowledge guidance18
BBox-Guided Segmentor: Leveraging expert knowledge for accurate stroke lesion segmentation using weakly supervised bounding box prior18
A novel center-based deep contrastive metric learning method for the detection of polymicrogyria in pediatric brain MRI18
Enhancing breast cancer screening: Unveiling explainable cross-view contributions in dual-view mammography with Sparse Bipartite Graphs Attention Networks18
Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricle18
AlzFormer: Multi-modal framework for Alzheimer’s classification using MRI and graph-embedded demographics guided by adaptive attention gating18
ConvTNet fusion: A robust transformer-CNN framework for multi-class classification, multimodal feature fusion, and tissue heterogeneity handling18
Sequence based local–global information fusion framework for vertebrae detection under pathological and FOV variation challenges18
SC-GAN: Structure-completion generative adversarial network for synthetic CT generation from MR images with truncated anatomy17
Editorial Board17
Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training17
Multimodal fusion diagnosis of depression and anxiety based on CNN-LSTM model16
Super-resolution of magnetic resonance images using Generative Adversarial Networks16
Uncertainty-aware regression model to predict post-operative visual acuity in patients with macular holes16
AugmentA: Patient-specific augmented atrial model generation tool16
Fully automatic segmentation and monitoring of choriocapillaris flow voids in OCTA images16
Quasi-supervised learning for super-resolution PET16
MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment16
CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN16
Hierarchical multimodal fusion framework based on noisy label learning and attention mechanism for cancer classification with pathology and genomic features15
Bi-VesTreeFormer: A bidirectional topology-aware transformer framework for coronary vFFR estimation15
Interstitial-guided automatic clinical tumor volume segmentation network for cervical cancer brachytherapy15
Towards human-level performance on automatic pose estimation of infant spontaneous movements15
A deep learning framework for reconstructing Breast Amide Proton Transfer weighted imaging sequences from sparse frequency offsets to dense frequency offsets15
Contrastive learning in brain imaging15
Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions15
Mamba-based deformable medical image registration with an annotated brain MR-CT dataset15
CS2former: Multimodal feature fusion transformer with dual channel-spatial feature extraction module for bipolar disorder diagnosis14
Distance guided generative adversarial network for explainable medical image classifications14
Dynamic recurrent inference machines for accelerated MRI-guided radiotherapy of the liver14
Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging14
Utilizing domain knowledge to improve the classification of intravenous contrast phase of CT scans13
MRI texture-based radiomics analysis for the identification of altered functional networks in alcoholic patients and animal models13
Unpaired multi-modal training and single-modal testing for detecting signs of endometriosis13
DC-cycleGAN: Bidirectional CT-to-MR synthesis from unpaired data13
CPTV: Classification by tracking of carotid plaque in ultrasound videos13
Unsupervised domain adaptation based on feature and edge alignment for femur X-ray image segmentation13
Self-supervised suppression of MRI cardiac device artifacts based on multi-instance contrastive learning and anisotropic spatiotemporal transformer13
PatchCL-AE: Anomaly detection for medical images using patch-wise contrastive learning-based auto-encoder13
Automatic summarization of endoscopic skull base surgical videos through object detection and hidden Markov modeling13
Fluid-SegNet: Multi-dimensional loss-driven Y-Net with dilated convolutions for OCT B-scan fluid segmentation13
MRI-based vector radiomics for predicting breast cancer HER2 status and its changes after neoadjuvant therapy13
Invasion depth estimation of carcinoma cells using adaptive stain normalization to improve epidermis segmentation accuracy13
A community-based approach to image analysis of cells, tissues and tumors13
Fast X-ray/CT image registration based on perspective projection triangular features12
Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images12
A novel intelligent grade classification architecture for Patent Foramen Ovale by Contrast Transthoracic Echocardiography based on deep learning12
A 3D framework for segmentation of carotid artery vessel wall and identification of plaque compositions in multi-sequence MR images12
Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT images12
Attention guided discriminative feature learning and adaptive fusion for grading hepatocellular carcinoma with Contrast-enhanced MR12
Progress and trends in neurological disorders research based on deep learning12
MICDIR: Multi-scale inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent12
On-cloud decision-support system for non-small cell lung cancer histology characterization from thorax computed tomography scans12
Cervical OCT image classification using contrastive masked autoencoders with Swin Transformer12
Cerebrovascular segmentation in phase-contrast magnetic resonance angiography by multi-feature fusion and vessel completion12
iPCa-Net: A CNN-based framework for predicting incidental prostate cancer using multiparametric MRI12
Self-attentional microvessel segmentation via squeeze-excitation transformer Unet12
C5-net: Cross-organ cross-modality cswin-transformer coupled convolutional network for dual task transfer learning in lymph node segmentation and classification11
Liver lesion segmentation in ultrasound: A benchmark and a baseline network11
RibFractureSys: A gem in the face of acute rib fracture diagnoses11
CASCADE-FSL: Few-shot learning for collateral evaluation in ischemic stroke11
Leverage prior texture information in deep learning-based liver tumor segmentation: A plug-and-play Texture-Based Auto Pseudo Label module11
DeepHybrid-CNN: A hybrid approach for pre-processing of skin cancer images11
Adjacent point aided vertebral landmark detection and Cobb angle measurement for automated AIS diagnosis11
Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies11
Towards explainable oral cancer recognition: Screening on imperfect images via Informed Deep Learning and Case-Based Reasoning10
LoRA-Enhanced RT-DETR: First Low-Rank Adaptation based DETR for real-time full body anatomical structures identification in musculoskeletal ultrasound10
End-systole and end-diastole detection in short axis cine MRI using a fully convolutional neural network with dilated convolutions10
Towards Generic Abdominal Multi-Organ Segmentation with multiple partially labeled datasets10
PFMNet: Prototype-based feature mapping network for few-shot domain adaptation in medical image segmentation10
Multi-modal MRI synthesis with conditional latent diffusion models for data augmentation in tumor segmentation10
One-shot learning for generalization in medical image classification across modalities10
Retrospective study of deep learning to reduce noise in non-contrast head CT images10
Multi-network approach for image segmentation in non-contrast enhanced cardiac 3D MRI of arrhythmic patients10
PCAN: Pixel-wise classification and attention network for thoracic disease classification and weakly supervised localization10
Weak lesion feature extraction by dual-branch separation and enhancement network for safe hemorrhagic transformation prediction10
TCDE-Net: An unsupervised dual-encoder network for 3D brain medical image registration9
HACA3: A unified approach for multi-site MR image harmonization9
Towards better interpretable and generalizable AD detection using collective artificial intelligence9
FetalBrainAwareNet: Bridging GANs with anatomical insight for fetal ultrasound brain plane synthesis9
MD-SGT: Multi-dilation spherical graph transformer for unsupervised medical image registration9
3D hemisphere-based convolutional neural network for whole-brain MRI segmentation9
Stain color translation of multi-domain OSCC histopathology images using attention gated cGAN9
Secure and privacy-preserving surgical instrument segmentation in minimally invasive surgeries using federated differential privacy approach9
RPDNet: A reconstruction-regularized parallel decoders network for rectal tumor and rectum co-segmentation9
Deep local-to-global feature learning for medical image super-resolution9
Automated microvascular invasion prediction of hepatocellular carcinoma via deep relation reasoning from dynamic contrast-enhanced ultrasound9
A technology framework for distributed preoperative planning and medical training in deep brain stimulation9
Editorial Board9
A review on brain tumor segmentation based on deep learning methods with federated learning techniques9
Uncertainty-aware deep learning for segmentation of primary tumor and pathologic lymph nodes in oropharyngeal cancer: Insights from a multi-center cohort9
Dynamic MRI interpolation in temporal direction using an unsupervised generative model9
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