ResNet and its application to medical image processing: Research progress and challenges

Deep Residual Learning for Image Recognition

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A survey on deep learning in medical image analysis

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Identity mappings in deep residual networks

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3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

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The multimodal brain tumor image segmentation benchmark (BRATS)

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Residual Attention Network for Image Classification

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SphereFace: Deep Hypersphere Embedding for Face Recognition

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VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images

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Deep Pyramidal Residual Networks

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Deep Convolutional Neural Networks for breast cancer screening

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Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized ModelsPreprint

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Residual Networks of Residual Networks: Multilevel Residual Networks

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Pulmonary nodule classification with deep residual networks

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Benign and malignant classification of mammogram images based on deep learning

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Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks

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MuDeRN: Multi-category classification of breast histopathological image using deep residual networks

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OFF-eNET: An Optimally Fused Fully End-to-End Network for Automatic Dense Volumetric 3D Intracranial Blood Vessels Segmentation

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WBC-Net: A white blood cell segmentation network based on UNet++ and ResNet

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MR Image Super-Resolution via Wide Residual Networks With Fixed Skip Connection

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Multiple improved residual networks for medical image super-resolution

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A cascaded dual-pathway residual network for lung nodule segmentation in CT images

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Classification of breast density categories based on SE-Attention neural networks

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3-D Channel and Spatial Attention Based Multiscale Spatial–Spectral Residual Network for Hyperspectral Image Classification

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Medical image diagnostics based on computer-aided flow analysis using magnetic resonance images

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A novel U-Net approach to segment the cardiac chamber in magnetic resonance images with ghost artifacts

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Multi-Channel-ResNet: An integration framework towards skin lesion analysis

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Dual-Stream Multi-Path Recursive Residual Network for JPEG Image Compression Artifacts Reduction

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Residual dense network for medical magnetic resonance images super-resolution

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MEDICAL IMAGING AND PROCESSING METHODS FOR CARDIAC FLOW RECONSTRUCTION

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Lung Nodule Diagnosis on 3D Computed Tomography Images Using Deep Convolutional Neural Networks

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Gradual back-projection residual attention network for magnetic resonance image super-resolution

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Multiscale Residual Attention Network for Distinguishing Stationary Humans and Common Animals Under Through-Wall Condition Using Ultra-Wideband Radar

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Progressive U-Net residual network for computed tomography images super-resolution in the screening of COVID-19

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End-to-end residual attention mechanism for cataractous retinal image dehazing

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Multi-resolution DenseNet based acoustic models for reverberant speech recognition

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Cardiac Magnetic Resonance Images Superresolution via Multichannel Residual Attention Networks

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Breast Cancer Diagnosis System Based on Transfer Learning and Deep Convolutional Neural Networks

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Scalenet: A Convolutional Network to Extract Multi-Scale and Fine-Grained Visual Features

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Spatial Residual Blocks Combined Parallel Network for Hyperspectral Image Classification

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P2‐402: BRAIN AGE PREDICTION FROM MINIMALLY PREPROCESSED MRI SCANS USING 3D DEEP RESIDUAL NEURAL NETWORKS

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Local interpretable model-agnostic explanation approach for medical imaging analysis: A systematic literature review

Hassan, S. U., Abdulkadir, S. J., Zahid, M. S. M., & Al-Selwi, S. M. (2024) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.109569 · Cited by 121 · see citing works

Neural Ordinary Differential Equations for robust parameter estimation in dynamic systems with physical priors

Yang, Y. Q., & Li, H. (2024) · Applied Soft Computing · doi:10.1016/j.asoc.2024.112649 · Cited by 86 · see citing works

Review of applications of deep learning in veterinary diagnostics and animal health

Xiao, S., Dhand, N. K., Wang, Z., Hu, K., Thomson, P. C., House, J. K., & Khatkar, M. S. (2025) · Frontiers in Veterinary Science · doi:10.3389/fvets.2025.1511522 · Cited by 82 · see citing works

Predicting Short-Term Mortality in Patients With Acute Pulmonary Embolism With Deep Learning

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Multispectral Semantic Segmentation for Land Cover Classification: An Overview

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Enhancing Fetal Anomaly Detection in Ultrasonography Images: A Review of Machine Learning-Based Approaches

Shahrivar, R. Y., Karami, F., & Karami, E. (2023) · Biomimetics · doi:10.3390/biomimetics8070519 · Cited by 57 · see citing works

Performance analyses on the air cooling battery thermal management based on artificial neural networks

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Mitigating Algorithmic Bias in AI-Driven Cardiovascular Imaging for Fairer Diagnostics

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CCGL-YOLOV5:A cross-modal cross-scale global-local attention YOLOV5 lung tumor detection model

Zhou, T., Liu, F., Ye, X., Wang, H., & Lu, H. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2023.107387 · Cited by 36 · see citing works

Deep Learning and Habitat Radiomics for the Prediction of Glioma Pathology Using Multiparametric MRI: A Multicenter Study

Zhu, Y., Wang, J., Xue, C., Zhai, X., Xiao, C., & Lu, T. (2024) · Academic Radiology · doi:10.1016/j.acra.2024.09.021 · Cited by 34 · see citing works

Deep Learning Techniques for Lung Cancer Diagnosis with Computed Tomography Imaging: A Systematic Review for Detection, Segmentation, and Classification

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Automated detection of Crop-Row lines and measurement of maize width for boom spraying

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A decentralized asynchronous federated learning framework for edge devices

Wang, B., Zhao, T., Ma, J., Zhang, W., She, W., & Liu, W. (2024) · Future Generation Computer Systems · doi:10.1016/j.future.2024.107683 · Cited by 26 · see citing works

Artificial Intelligence in Temporomandibular Joint Disorders: An Umbrella Review

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UltraSegNet: A Hybrid Deep Learning Framework for Enhanced Breast Cancer Segmentation and Classification on Ultrasound Images

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Contrast and Gain-Aware Attention: A Plug-and-Play Feature Fusion Attention Module for Torso Region Fetal Plane Identification

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Transfer deep learning and explainable AI framework for brain tumor and Alzheimer's detection across multiple datasets

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Deep Learning in Digital Breast Tomosynthesis: Current Status, Challenges, and Future Trends

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XRDNet: a Novel Explainable Residual Dense Fusion Network for Alzheimer’s Disease Recognition from MRI Images

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Gastric cancer detection using a hybrid version of gated recurrent unit network and adjusted tyrannosaurus optimization algorithm

Gong, C., Jia, Z., Yuan, P., Li, S., Ji, J., & Ghadimi, N. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2025.108582 · Cited by 21 · see citing works

2.5D deep learning based on multi-parameter MRI to differentiate primary lung cancer pathological subtypes in patients with brain metastases

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Res2U++: Deep learning model for segmentation of ischemic stroke lesions

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Enhanced fracture detection on radiographs with AI assistance for clinicians: a systematic review and meta-analysis

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The role of deep learning in diagnostic imaging of spondyloarthropathies: a systematic review

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A novel approach in cancer diagnosis: integrating holography microscopic medical imaging and deep learning techniques—challenges and future trends

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Deep learning-based recognition of small maritime targets for obstacle avoidance in visual wave gliders

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Predicting molecular subtypes of breast cancer based on multi-parametric MRI dataset using deep learning method

Ren, W., Xi, X., Zhang, X., Wang, K., Liu, M., Wang, D., Du, Y., Sun, J., & Zhang, G. (2024) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2024.110305 · Cited by 15 · see citing works

Multi-Scale Digital Pathology Patch-Level Prostate Cancer Grading Using Deep Learning: Use Case Evaluation of DiagSet Dataset

Kondejkar, T., Alheejawi, S., Breggia, A., Ahmad, B., Christman, R., Ryan Stephen, T., & Amal, S. (2024) · Bioengineering · doi:10.3390/bioengineering11060624 · Cited by 15 · see citing works

Challenges, optimization strategies, and future horizons of advanced deep learning approaches for brain lesion segmentation

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Modular Neural Networks for Osteoporosis Detection in Mandibular Cone-Beam Computed Tomography Scans

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Application of the ResNet-Transformer Model for Runoff Prediction Based on Multi-source Data Fusion

Zhu, S., Wang, Z., Zhang, W., & Yang, J. (2025) · Water Resources Management · doi:10.1007/s11269-025-04241-3 · Cited by 14 · see citing works

OCT-SelfNet: a self-supervised framework with multi-source datasets for generalized retinal disease detection

Jannat, F.-E., Gholami, S., Alam, M. N., & Tabkhi, H. (2025) · Frontiers in Big Data · doi:10.3389/fdata.2025.1609124 · Cited by 13 · see citing works

Feasibility study of opportunistic osteoporosis screening on chest CT using a multi-feature fusion DCNN model

Pan, J., Lin, P., Gong, S., Wang, Z., Cao, R., Lv, Y., Zhang, K., & Wang, L. (2024) · Archives of Osteoporosis · doi:10.1007/s11657-024-01455-7 · Cited by 13 · see citing works

CrossViT with ECAP: Enhanced deep learning for jaw lesion classification

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Application of social media communication for museum based on the deep mediatization and artificial intelligence

Wang, H., Song, C., & Li, H. (2024) · Scientific Reports · doi:10.1038/s41598-024-80378-2 · Cited by 13 · see citing works

Artificial intelligence in high-dose-rate brachytherapy treatment planning for cervical cancer: a review

Shi, J., Chen, J., He, G., & Peng, Q. (2025) · Frontiers in Oncology · doi:10.3389/fonc.2025.1507592 · Cited by 13 · see citing works

Construction of an artificially intelligent model for accurate detection of HCC by integrating clinical, radiological, and peripheral immunological features

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Galar - a large multi-label video capsule endoscopy dataset

Floch, M. L., Wolf, F., McIntyre, L., Weinert, C., Palm, A., Volk, K., Herzog, P., Kirk, S. H., Steinhäuser, J. L., Stopp, C., et al. (2025) · Scientific Data · doi:10.1038/s41597-025-05112-7 · Cited by 13 · see citing works

Multi-Task Deep Learning for Lung Nodule Detection and Segmentation in CT Scans: A Review

Li, R., & Asli, B. H. S. (2025) · Electronics · doi:10.3390/electronics14153009 · Cited by 12 · see citing works

Enhancing Aquaculture Net Pen Inspection: A Benchmark Study on Detection and Semantic Segmentation

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Real-Time Data-Driven Method for Bolt Defect Detection and Size Measurement in Industrial Production

Yang, J., & Lee, C.-H. (2025) · Actuators · doi:10.3390/act14040185 · Cited by 12 · see citing works

AI in 2D Mammography: Improving Breast Cancer Screening Accuracy

Ciurescu, S., Cerbu, S., Dima, C. N., Borozan, F., Pârvănescu, R., Ilaș, D. G., Cîtu, C., Vernic, C., & Sas, I. (2025) · Medicina · doi:10.3390/medicina61050809 · Cited by 12 · see citing works

Deep learning-based classification of colorectal cancer in histopathology images for category detection

Le, T. T., Nguyen-Truong, V.-T., Nhat, Q. D. V., Phan, N. T. L., Dao, P. N. T., Mavuso, M. F., Nguyen, H. N. A., Mai, T. T., & Quang, K. T. (2025) · Biology Methods and Protocols · doi:10.1093/biomethods/bpaf077 · Cited by 12 · see citing works

Evaluation of crack self-healing performance in cement-based materials using deep learning and multidimensional characterization

Fu, C., Xu, W., Ge, Y., Zhan, Q., Zhang, X., Guo, T., & Pang, B. (2025) · Cement and Concrete Composites · doi:10.1016/j.cemconcomp.2025.106184 · Cited by 11 · see citing works

The crashworthiness prediction and deformation constraint optimization of shrink energy-absorbing structures based on deep learning architecture

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Semi-supervised recognition for artificial intelligence assisted pathology image diagnosis

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Comparative Analysis of Conventional CNN v’s ImageNet Pretrained ResNet in Medical Image Classification

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Development and Validation of an AI-Based Multimodal Model for Pathological Staging of Gastric Cancer Using CT and Endoscopic Images

Zhang, C., Li, S., Huang, D., Wen, B., Wei, S., Song, Y., & Wu, X. (2025) · Academic Radiology · doi:10.1016/j.acra.2024.12.029 · Cited by 11 · see citing works

Deep learning models for differentiating three sinonasal malignancies using multi-sequence MRI

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The accuracy of artificial intelligence in the diagnosis of soft tissue sarcoma: A systematic review and meta-analysis

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Accuracy of deep learning models in the detection of accessory ostium in coronal cone beam computed tomographic images

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Lightweight Transfer Learning Models for Multi-Class Brain Tumor Classification: Glioma, Meningioma, Pituitary Tumors, and No Tumor MRI Screening

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RADAI: A Deep Learning-Based Classification of Lung Abnormalities in Chest X-Rays

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