Computerized Medical Imaging and Graphics

Papers
(The TQCC of Computerized Medical Imaging and Graphics is 10. 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 2021-12-01 to 2025-12-01.)
ArticleCitations
Multimodal Cross Global Learnable Attention Network for MR images denoising with arbitrary modal missing482
A transformer-based hierarchical registration framework for multimodality deformable image registration96
Editorial Board95
Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms78
A VVBP data-based pancreatic lesion detection model with noncontrast CT70
SFPGCL: Specificity-preserving federated population graph contrastive learning for multi-site ASD identification using rs-fMRI data69
Z-SSMNet: Zonal-aware Self-supervised Mesh Network for prostate cancer detection and diagnosis with Bi-parametric MRI68
DB-SNet: A dual branch network for aortic component segmentation and lesion localization67
Segmentation of pelvic structures in T2 MRI via MR-to-CT synthesis65
Unsupervised adversarial neural network for enhancing vasculature in photoacoustic tomography images using optical coherence tomography angiography57
Interpretable attention-based deep learning ensemble for personalized ovarian cancer treatment without manual annotations54
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 46
Head pose-assisted localization of facial landmarks for enhanced fast registration in skull base surgery42
Multi modality fusion transformer with spatio-temporal feature aggregation module for psychiatric disorder diagnosis40
Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review39
Unpaired virtual histological staining using prior-guided generative adversarial networks39
Subtraction-free artifact-aware digital subtraction angiography image generation for head and neck vessels from motion data38
Prior knowledge-based multi-task learning network for pulmonary nodule classification38
Portable head CT motion artifact correction via diffusion-based generative model36
DSIFNet: Implicit feature network for nasal cavity and vestibule segmentation from 3D head CT35
Lightweight wavelet convolutional network for guidewire segmentation33
Accurate segmentation of liver tumor from multi-modality non-contrast images using a dual-stream multi-level fusion framework32
Self-supervised network predicting neoadjuvant chemoradiotherapy response to locally advanced rectal cancer patients32
Intracranial steno-occlusive lesion detection on time-of-flight MR angiography using multi-task learning31
SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage31
Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase31
C2BA-UNet: A c30
Interpretable multi-stage attention network to predict cancer subtype, microsatellite instability, TP53 mutation and TMB of endometrial and colorectal cancer30
Editorial Board30
LA-ResUNet: Attention-based network for longitudinal liver tumor segmentation from CT images29
Efficient frequency-decomposed transformer via large vision model guidance for surgical image desmoking29
A CNN-Transformer fusion network for Diabetic retinopathy image classification29
IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation28
A lung biopsy path planning algorithm based on the double spherical constraint Pareto and indicators’ importance-correlation degree27
A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques27
CardSegNet: An adaptive hybrid CNN-vision transformer model for heart region segmentation in cardiac MRI27
Hierarchical attention fusion of EUS-doppler features for GISTs risk assessment27
Improving segmentation and detection of lesions in CT scans using intensity distribution supervision26
A multimodal skin lesion classification through cross-attention fusion and collaborative edge computing26
An automatic radiomic-based approach for disease localization: A pilot study on COVID-1925
Automated segmentation of deep brain structures from Inversion-Recovery MRI25
Enhancing cardiac function assessment: Developing and validating a domain adaptive framework for automating the segmentation of echocardiogram videos24
WISE: Efficient WSI selection for active learning in histopathology24
3D-QCNet – A pipeline for automated artifact detection in diffusion MRI images24
A multi-backbone cascade and morphology-aware segmentation network for complex morphological X-ray coronary artery images24
Detection of Alzheimer’s disease using features of brain region-of-interest-based individual network constructed with the sMRI image23
Self-supervised multi-modal feature fusion for predicting early recurrence of hepatocellular carcinoma23
A self-attention model for robust rigid slice-to-volume registration of functional MRI22
Multimodal data fusion with irregular PSA kinetics for automated prostate cancer grading22
Incremental learning for an evolving stream of medical ultrasound images via counterfactual thinking22
Semi-supervised hybrid spine network for segmentation of spine MR images22
Accurate and fast monocular endoscopic depth estimation of structure-content integrated diffusion21
Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricle20
CQENet: A segmentation model for nasopharyngeal carcinoma based on confidence quantitative evaluation20
Editorial Board20
A novel wavelet-transform-based convolution classification network for cervical lymph node metastasis of papillary thyroid carcinoma in ultrasound images20
Measuring variability of local brain volume using improved volume preserved warping20
SML-Net: Semi-supervised multi-task learning network for carotid plaque segmentation and classification20
Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training19
A novel population-characteristic weighted sparse model for accurate respiratory motion prediction in CT-guided lung cancer interventions19
SC-GAN: Structure-completion generative adversarial network for synthetic CT generation from MR images with truncated anatomy19
CALIMAR-GAN: An unpaired mask-guided attention network for metal artifact reduction in CT scans19
Sequence based local–global information fusion framework for vertebrae detection under pathological and FOV variation challenges19
ConvTNet fusion: A robust transformer-CNN framework for multi-class classification, multimodal feature fusion, and tissue heterogeneity handling18
Enhancing breast cancer screening: Unveiling explainable cross-view contributions in dual-view mammography with Sparse Bipartite Graphs Attention Networks18
A comparison of an integrated and image-only deep learning model for predicting the disappearance of indeterminate pulmonary nodules18
Uninformed Teacher-Student for hard-samples distillation in weakly supervised mitosis localization18
BBox-Guided Segmentor: Leveraging expert knowledge for accurate stroke lesion segmentation using weakly supervised bounding box prior18
Fully automatic segmentation and monitoring of choriocapillaris flow voids in OCTA images18
Multi-representational deep transfer learning for classifying hemorrhagic metastases and non-neoplastic intracranial hematomas in multi-modal brain MRI scans17
Super-resolution of magnetic resonance images using Generative Adversarial Networks17
Quasi-supervised learning for super-resolution PET17
Deep reinforcement learning framework for thoracic diseases classification via prior knowledge guidance16
A novel center-based deep contrastive metric learning method for the detection of polymicrogyria in pediatric brain MRI16
AlzFormer: Multi-modal framework for Alzheimer’s classification using MRI and graph-embedded demographics guided by adaptive attention gating16
Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging16
CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN16
Multimodal fusion diagnosis of depression and anxiety based on CNN-LSTM model16
Uncertainty-aware regression model to predict post-operative visual acuity in patients with macular holes16
AugmentA: Patient-specific augmented atrial model generation tool16
MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment16
Distance guided generative adversarial network for explainable medical image classifications16
Contrastive learning in brain imaging15
Bi-VesTreeFormer: A bidirectional topology-aware transformer framework for coronary vFFR estimation15
CPTV: Classification by tracking of carotid plaque in ultrasound videos15
Dynamic recurrent inference machines for accelerated MRI-guided radiotherapy of the liver15
Mamba-based deformable medical image registration with an annotated brain MR-CT dataset15
MRI texture-based radiomics analysis for the identification of altered functional networks in alcoholic patients and animal models14
Towards human-level performance on automatic pose estimation of infant spontaneous movements14
Utilizing domain knowledge to improve the classification of intravenous contrast phase of CT scans14
Automatic summarization of endoscopic skull base surgical videos through object detection and hidden Markov modeling14
A deep learning framework for reconstructing Breast Amide Proton Transfer weighted imaging sequences from sparse frequency offsets to dense frequency offsets14
Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions14
CS2former: Multimodal feature fusion transformer with dual channel-spatial feature extraction module for bipolar disorder diagnosis14
Interstitial-guided automatic clinical tumor volume segmentation network for cervical cancer brachytherapy14
Hierarchical multimodal fusion framework based on noisy label learning and attention mechanism for cancer classification with pathology and genomic features14
A community-based approach to image analysis of cells, tissues and tumors14
MICDIR: Multi-scale inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent13
PatchCL-AE: Anomaly detection for medical images using patch-wise contrastive learning-based auto-encoder13
Unpaired multi-modal training and single-modal testing for detecting signs of endometriosis13
Fast X-ray/CT image registration based on perspective projection triangular features13
A novel intelligent grade classification architecture for Patent Foramen Ovale by Contrast Transthoracic Echocardiography based on deep learning13
MRI-based vector radiomics for predicting breast cancer HER2 status and its changes after neoadjuvant therapy13
Self-supervised suppression of MRI cardiac device artifacts based on multi-instance contrastive learning and anisotropic spatiotemporal transformer13
Cerebrovascular segmentation in phase-contrast magnetic resonance angiography by multi-feature fusion and vessel completion13
Cervical OCT image classification using contrastive masked autoencoders with Swin Transformer13
Unsupervised domain adaptation based on feature and edge alignment for femur X-ray image segmentation13
Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT images13
On-cloud decision-support system for non-small cell lung cancer histology characterization from thorax computed tomography scans12
Self-attentional microvessel segmentation via squeeze-excitation transformer Unet12
DC-cycleGAN: Bidirectional CT-to-MR synthesis from unpaired data12
Progress and trends in neurological disorders research based on deep learning12
Fluid-SegNet: Multi-dimensional loss-driven Y-Net with dilated convolutions for OCT B-scan fluid segmentation12
iPCa-Net: A CNN-based framework for predicting incidental prostate cancer using multiparametric MRI12
Invasion depth estimation of carcinoma cells using adaptive stain normalization to improve epidermis segmentation accuracy12
Attention guided discriminative feature learning and adaptive fusion for grading hepatocellular carcinoma with Contrast-enhanced MR12
AtlasSeg: Atlas prior guided dual-U-Net for tissue segmentation in fetal brain MRI12
Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images12
C5-net: Cross-organ cross-modality cswin-transformer coupled convolutional network for dual task transfer learning in lymph node segmentation and classification11
Adjacent point aided vertebral landmark detection and Cobb angle measurement for automated AIS diagnosis11
A 3D framework for segmentation of carotid artery vessel wall and identification of plaque compositions in multi-sequence MR images11
RibFractureSys: A gem in the face of acute rib fracture diagnoses11
Leverage prior texture information in deep learning-based liver tumor segmentation: A plug-and-play Texture-Based Auto Pseudo Label module11
Multi-network approach for image segmentation in non-contrast enhanced cardiac 3D MRI of arrhythmic patients11
Weak lesion feature extraction by dual-branch separation and enhancement network for safe hemorrhagic transformation prediction11
Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies11
DeepHybrid-CNN: A hybrid approach for pre-processing of skin cancer images11
Towards Generic Abdominal Multi-Organ Segmentation with multiple partially labeled datasets11
CASCADE-FSL: Few-shot learning for collateral evaluation in ischemic stroke11
Towards explainable oral cancer recognition: Screening on imperfect images via Informed Deep Learning and Case-Based Reasoning11
Liver lesion segmentation in ultrasound: A benchmark and a baseline network11
Multi-modal MRI synthesis with conditional latent diffusion models for data augmentation in tumor segmentation10
Retrospective study of deep learning to reduce noise in non-contrast head CT images10
LoRA-Enhanced RT-DETR: First Low-Rank Adaptation based DETR for real-time full body anatomical structures identification in musculoskeletal ultrasound10
Towards better interpretable and generalizable AD detection using collective artificial intelligence10
TCDE-Net: An unsupervised dual-encoder network for 3D brain medical image registration10
Secure and privacy-preserving surgical instrument segmentation in minimally invasive surgeries using federated differential privacy approach10
PFMNet: Prototype-based feature mapping network for few-shot domain adaptation in medical image segmentation10
End-systole and end-diastole detection in short axis cine MRI using a fully convolutional neural network with dilated convolutions10
3D hemisphere-based convolutional neural network for whole-brain MRI segmentation10
A review on brain tumor segmentation based on deep learning methods with federated learning techniques10
Stain color translation of multi-domain OSCC histopathology images using attention gated cGAN10
One-shot learning for generalization in medical image classification across modalities10
Editorial Board10
A technology framework for distributed preoperative planning and medical training in deep brain stimulation10
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