Computerized Medical Imaging and Graphics

Papers
(The TQCC of Computerized Medical Imaging and Graphics is 11. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
A VVBP data-based pancreatic lesion detection model with noncontrast CT136
Entropy-guided partial annotation for cross-domain rib segmentation118
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 112
Interpretable attention-based deep learning ensemble for personalized ovarian cancer treatment without manual annotations80
Diffusion-based virtual multi-stain staining for pituitary adenoma histopathology76
Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms66
GRFormer: 3D reconstruction of liver and tumor via gridding and transformer-based point cloud completion60
Pseudo-label-free instance screening of non-tumor regions in whole slide images for improved classification and survival prediction59
DB-SNet: A dual branch network for aortic component segmentation and lesion localization56
Segmentation of pelvic structures in T2 MRI via MR-to-CT synthesis52
Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review49
Head pose-assisted localization of facial landmarks for enhanced fast registration in skull base surgery49
CGHNet: Cross-Guided 2D–3D Hybrid Network with attention mechanism for focal liver lesion classification47
Multi modality fusion transformer with spatio-temporal feature aggregation module for psychiatric disorder diagnosis46
A transformer-based hierarchical registration framework for multimodality deformable image registration46
SFPGCL: Specificity-preserving federated population graph contrastive learning for multi-site ASD identification using rs-fMRI data45
Unpaired virtual histological staining using prior-guided generative adversarial networks44
Unsupervised adversarial neural network for enhancing vasculature in photoacoustic tomography images using optical coherence tomography angiography43
Z-SSMNet: Zonal-aware Self-supervised Mesh Network for prostate cancer detection and diagnosis with Bi-parametric MRI42
Segmentation-guided multi-modal brain tumors survival prediction model using pseudo-labeling approach41
Multimodal Cross Global Learnable Attention Network for MR images denoising with arbitrary modal missing38
Lightweight wavelet convolutional network for guidewire segmentation37
STFNet: A spatial–temporal feature aggregation network for breast lesion segmentation in ultrasound videos36
Efficient frequency-decomposed transformer via large vision model guidance for surgical image desmoking36
Intracranial steno-occlusive lesion detection on time-of-flight MR angiography using multi-task learning33
DSIFNet: Implicit feature network for nasal cavity and vestibule segmentation from 3D head CT33
Portable head CT motion artifact correction via diffusion-based generative model32
SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage32
Subtraction-free artifact-aware digital subtraction angiography image generation for head and neck vessels from motion data32
Prior knowledge-based multi-task learning network for pulmonary nodule classification30
CardSegNet: An adaptive hybrid CNN-vision transformer model for heart region segmentation in cardiac MRI30
LA-ResUNet: Attention-based network for longitudinal liver tumor segmentation from CT images30
Accurate segmentation of liver tumor from multi-modality non-contrast images using a dual-stream multi-level fusion framework30
Interpretable multi-stage attention network to predict cancer subtype, microsatellite instability, TP53 mutation and TMB of endometrial and colorectal cancer29
A CNN-Transformer fusion network for Diabetic retinopathy image classification29
Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase28
Self-supervised network predicting neoadjuvant chemoradiotherapy response to locally advanced rectal cancer patients28
C 28
A knowledge-guided and uncertainty-calibrated multimodal framework for fracture diagnosis and radiology report generation27
A lung biopsy path planning algorithm based on the double spherical constraint Pareto and indicators’ importance-correlation degree27
SLDPC: Slide-Level Dual-Prompt Collaboration for few-shot whole slide image classification27
Hierarchical attention fusion of EUS-doppler features for GISTs risk assessment27
RFD: A Reducing Feature Discrepancy method for unsupervised cross-modality SAM adaptation26
A novel wavelet-transform-based convolution classification network for cervical lymph node metastasis of papillary thyroid carcinoma in ultrasound images26
A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques25
Self-supervised multi-modal feature fusion for predicting early recurrence of hepatocellular carcinoma25
A deep cardiac motion field analysis approach via global 2nd-order kinematic graph modeling25
Accurate and fast monocular endoscopic depth estimation of structure-content integrated diffusion24
3D-QCNet – A pipeline for automated artifact detection in diffusion MRI images24
Adaptive aggregation in federated learning for retinal vein occlusion detection: A dynamic approach based on data distribution24
A self-attention model for robust rigid slice-to-volume registration of functional MRI24
Automated segmentation of deep brain structures from Inversion-Recovery MRI24
An automatic radiomic-based approach for disease localization: A pilot study on COVID-1924
WISE: Efficient WSI selection for active learning in histopathology24
Improving segmentation and detection of lesions in CT scans using intensity distribution supervision23
Incremental learning for an evolving stream of medical ultrasound images via counterfactual thinking23
Semi-supervised hybrid spine network for segmentation of spine MR images23
Integrating AI into clinical practice: Human-centered design requirements for next-generation sequencing workflows23
Multimodal data fusion with irregular PSA kinetics for automated prostate cancer grading23
A multimodal skin lesion classification through cross-attention fusion and collaborative edge computing23
Editorial Board22
Enhancing cardiac function assessment: Developing and validating a domain adaptive framework for automating the segmentation of echocardiogram videos22
Sequence based local–global information fusion framework for vertebrae detection under pathological and FOV variation challenges22
A multi-backbone cascade and morphology-aware segmentation network for complex morphological X-ray coronary artery images22
CALIMAR-GAN: An unpaired mask-guided attention network for metal artifact reduction in CT scans22
SML-Net: Semi-supervised multi-task learning network for carotid plaque segmentation and classification22
Fully automatic segmentation and monitoring of choriocapillaris flow voids in OCTA images21
Quasi-supervised learning for super-resolution PET21
A novel population-characteristic weighted sparse model for accurate respiratory motion prediction in CT-guided lung cancer interventions21
Multi-representational deep transfer learning for classifying hemorrhagic metastases and non-neoplastic intracranial hematomas in multi-modal brain MRI scans21
ConvTNet fusion: A robust transformer-CNN framework for multi-class classification, multimodal feature fusion, and tissue heterogeneity handling21
Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricle21
Uninformed Teacher-Student for hard-samples distillation in weakly supervised mitosis localization21
MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment21
Enhancing breast cancer screening: Unveiling explainable cross-view contributions in dual-view mammography with Sparse Bipartite Graphs Attention Networks20
Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training20
Convolutional–transformer fusion of ultrasound and diffuse optical tomography for breast lesion classification20
A novel center-based deep contrastive metric learning method for the detection of polymicrogyria in pediatric brain MRI20
BBox-Guided Segmentor: Leveraging expert knowledge for accurate stroke lesion segmentation using weakly supervised bounding box prior19
Multimodal fusion diagnosis of depression and anxiety based on CNN-LSTM model19
AugmentA: Patient-specific augmented atrial model generation tool19
CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN18
A comparison of an integrated and image-only deep learning model for predicting the disappearance of indeterminate pulmonary nodules18
AlzFormer: Multi-modal framework for Alzheimer’s classification using MRI and graph-embedded demographics guided by adaptive attention gating18
SC-GAN: Structure-completion generative adversarial network for synthetic CT generation from MR images with truncated anatomy18
CQENet: A segmentation model for nasopharyngeal carcinoma based on confidence quantitative evaluation18
Deep reinforcement learning framework for thoracic diseases classification via prior knowledge guidance18
Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging17
Super-resolution of magnetic resonance images using Generative Adversarial Networks17
Semi-supervised medical image classification via feature-level multi-scale consistency and adversarial training17
Interstitial-guided automatic clinical tumor volume segmentation network for cervical cancer brachytherapy16
Hierarchical multimodal fusion framework based on noisy label learning and attention mechanism for cancer classification with pathology and genomic features16
A deep learning framework for reconstructing Breast Amide Proton Transfer weighted imaging sequences from sparse frequency offsets to dense frequency offsets16
Dynamic recurrent inference machines for accelerated MRI-guided radiotherapy of the liver16
A hybrid deep learning framework for epileptic seizure prediction using scalp and intracranial EEG data16
Privacy-preserving multimodal fusion for Alzheimer’s staging: A federated vision transformer framework with explainable AI15
Vessel-MAYON: A 3D direction-aware deep network for intracranial vessel segmentation from MRA Images15
MRI texture-based radiomics analysis for the identification of altered functional networks in alcoholic patients and animal models15
Contrastive learning in brain imaging15
Mamba-based deformable medical image registration with an annotated brain MR-CT dataset15
Uncertainty-aware regression model to predict post-operative visual acuity in patients with macular holes15
Automatic summarization of endoscopic skull base surgical videos through object detection and hidden Markov modeling15
Distance guided generative adversarial network for explainable medical image classifications15
CPTV: Classification by tracking of carotid plaque in ultrasound videos15
CS2former: Multimodal feature fusion transformer with dual channel-spatial feature extraction module for bipolar disorder diagnosis15
Bi-VesTreeFormer: A bidirectional topology-aware transformer framework for coronary vFFR estimation15
Invasion depth estimation of carcinoma cells using adaptive stain normalization to improve epidermis segmentation accuracy14
Fast X-ray/CT image registration based on perspective projection triangular features14
Utilizing domain knowledge to improve the classification of intravenous contrast phase of CT scans14
Unpaired multi-modal training and single-modal testing for detecting signs of endometriosis14
MICDIR: Multi-scale inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent14
A novel intelligent grade classification architecture for Patent Foramen Ovale by Contrast Transthoracic Echocardiography based on deep learning14
Self-supervised suppression of MRI cardiac device artifacts based on multi-instance contrastive learning and anisotropic spatiotemporal transformer14
iPCa-Net: A CNN-based framework for predicting incidental prostate cancer using multiparametric MRI14
On-cloud decision-support system for non-small cell lung cancer histology characterization from thorax computed tomography scans14
Deep spatiotemporal clutter filtering of transthoracic echocardiographic images: Leveraging contextual attention and residual learning14
Fluid-SegNet: Multi-dimensional loss-driven Y-Net with dilated convolutions for OCT B-scan fluid segmentation14
AtlasSeg: Atlas prior guided dual-U-Net for tissue segmentation in fetal brain MRI14
Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT images13
PatchCL-AE: Anomaly detection for medical images using patch-wise contrastive learning-based auto-encoder13
Initial evaluation of a mixed-reality system for image-guided navigation during percutaneous liver tumor ablation13
Towards Generic Abdominal Multi-Organ Segmentation with multiple partially labeled datasets13
Learning geometric and visual features for medical image segmentation with vision GNN13
Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images13
Progress and trends in neurological disorders research based on deep learning13
Spectral attribute reasoning for interpretable multi-modal pathological segmentation13
DC-cycleGAN: Bidirectional CT-to-MR synthesis from unpaired data13
Multi-network approach for image segmentation in non-contrast enhanced cardiac 3D MRI of arrhythmic patients13
Cervical OCT image classification using contrastive masked autoencoders with Swin Transformer13
MRI-based vector radiomics for predicting breast cancer HER2 status and its changes after neoadjuvant therapy13
RibFractureSys: A gem in the face of acute rib fracture diagnoses13
SAN-Wavelet cycleGAN for anatomical structure reinforcement and tissue detail preservation in abdominal CT synthesis13
CASCADE-FSL: Few-shot learning for collateral evaluation in ischemic stroke13
Unsupervised domain adaptation based on feature and edge alignment for femur X-ray image segmentation13
Leverage prior texture information in deep learning-based liver tumor segmentation: A plug-and-play Texture-Based Auto Pseudo Label module12
Adjacent point aided vertebral landmark detection and Cobb angle measurement for automated AIS diagnosis12
A 3D framework for segmentation of carotid artery vessel wall and identification of plaque compositions in multi-sequence MR images12
PFMNet: Prototype-based feature mapping network for few-shot domain adaptation in medical image segmentation12
ME-Mamba: Multi-Expert Mamba with efficient knowledge capture and fusion for multimodal survival analysis12
Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies12
Liver lesion segmentation in ultrasound: A benchmark and a baseline network12
FAUDA-Net: Frequency-aware unsupervised domain adaptation network for multimodal medical image segmentation12
DeepHybrid-CNN: A hybrid approach for pre-processing of skin cancer images12
C5-net: Cross-organ cross-modality cswin-transformer coupled convolutional network for dual task transfer learning in lymph node segmentation and classification12
ADLS: Alignment of discrete latent spaces for unsupervised cross-modality medical image translation12
Towards better interpretable and generalizable AD detection using collective artificial intelligence11
PCAN: Pixel-wise classification and attention network for thoracic disease classification and weakly supervised localization11
Secure and privacy-preserving surgical instrument segmentation in minimally invasive surgeries using federated differential privacy approach11
Generative AI pipeline with model-guided filtering for sim-to-real transfer in surgical imaging11
LoRA-Enhanced RT-DETR: First Low-Rank Adaptation based DETR for real-time full body anatomical structures identification in musculoskeletal ultrasound11
RPDNet: A reconstruction-regularized parallel decoders network for rectal tumor and rectum co-segmentation11
C3MT: Confidence-Calibrated Contrastive Mean Teacher for semi-supervised medical image segmentation11
Editorial Board11
Towards explainable oral cancer recognition: Screening on imperfect images via Informed Deep Learning and Case-Based Reasoning11
One-shot learning for generalization in medical image classification across modalities11
A review on brain tumor segmentation based on deep learning methods with federated learning techniques11
SGAFNet: Robust brain tumor segmentation via learnable sequence-guided adaptive fusion in available MRI acquisitions11
Uncertainty-aware deep learning for segmentation of primary tumor and pathologic lymph nodes in oropharyngeal cancer: Insights from a multi-center cohort11
Defect-adaptive landmark detection in pelvis CT images via personalized structure-aware learning11
TCDE-Net: An unsupervised dual-encoder network for 3D brain medical image registration11
A technology framework for distributed preoperative planning and medical training in deep brain stimulation11
HACA3: A unified approach for multi-site MR image harmonization11
Stain color translation of multi-domain OSCC histopathology images using attention gated cGAN11
HF-VLP: A multimodal vision-language pre-trained model for diagnosing heart failure11
Multi-modal MRI synthesis with conditional latent diffusion models for data augmentation in tumor segmentation11
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