{"total":28,"rows":[{"id":"2405.01002","title":"Spider: A Unified Framework for Context-dependent Concept Segmentation","created":"2024-05-02","cited_by_count":18,"area":null},{"id":"2207.08114","title":"BCS-Net: Boundary, Context and Semantic for Automatic COVID-19 Lung Infection Segmentation from CT Images","created":"2022-07-17","cited_by_count":16,"area":null},{"id":"2303.10894","title":"M$^{2}$SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation","created":"2023-03-20","cited_by_count":13,"area":null},{"id":"2209.10963","title":"COVID-19 Detection and Analysis From Lung CT Images using Novel Channel Boosted CNNs","created":"2022-09-22","cited_by_count":12,"area":null},{"id":"2209.02934","title":"Boundary Guided Semantic Learning for Real-time COVID-19 Lung Infection Segmentation System","created":"2022-09-07","cited_by_count":11,"area":null},{"id":"2106.10230","title":"CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis","created":"2021-06-15","cited_by_count":8,"area":null},{"id":"2206.07795","title":"On Calibrated Model Uncertainty in Deep Learning","created":"2022-06-15","cited_by_count":7,"area":null},{"id":"2211.14559","title":"Boosting COVID-19 Severity Detection with Infection-aware Contrastive Mixup Classification","created":"2022-11-26","cited_by_count":7,"area":null},{"id":"2302.11571","title":"Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI","created":"2023-02-20","cited_by_count":6,"area":null},{"id":"2112.04984","title":"Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images","created":"2021-12-09","cited_by_count":5,"area":null},{"id":"2209.10307","title":"Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directions","created":"2022-09-21","cited_by_count":5,"area":null},{"id":"2302.02619","title":"COVID-19 Infection Analysis Framework using Novel Boosted CNNs and Radiological Images","created":"2023-02-06","cited_by_count":4,"area":null},{"id":"2104.02042","title":"Automated lung segmentation from CT images of normal and COVID-19 pneumonia patients","created":"2021-04-05","cited_by_count":3,"area":null},{"id":"2104.02060","title":"Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network","created":"2021-04-02","cited_by_count":3,"area":null},{"id":"2103.06140","title":"Semi-supervised Learning for COVID-19 Image Classification via ResNet","created":"2021-02-27","cited_by_count":2,"area":null},{"id":"2105.15094","title":"Systematic investigation into generalization of COVID-19 CT deep learning models with Gabor ensemble for lung involvement scoring","created":"2021-04-20","cited_by_count":1,"area":null},{"id":"2203.14616","title":"Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency","created":"2022-03-28","cited_by_count":1,"area":null},{"id":"2106.05861","title":"CoviLearn: A Machine Learning Integrated Smart X-Ray Device in Healthcare Cyber-Physical System for Automatic Initial Screening of COVID-19","created":"2021-06-09","cited_by_count":0,"area":null},{"id":"2106.12313","title":"Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis","created":"2021-06-23","cited_by_count":0,"area":null},{"id":"2110.15558","title":"AI-Powered Semantic Segmentation and Fluid Volume Calculation of Lung CT images in Covid-19 Patients","created":"2021-10-29","cited_by_count":0,"area":null},{"id":"2112.05900","title":"Automated assessment of disease severity of COVID-19 using artificial intelligence with synthetic chest CT","created":"2021-12-11","cited_by_count":0,"area":null},{"id":"2201.09972","title":"COVID-19 Detection Using CT Image Based On YOLOv5 Network","created":"2022-01-24","cited_by_count":0,"area":null},{"id":"2206.00002","title":"Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image","created":"2022-05-27","cited_by_count":0,"area":null},{"id":"2208.00032","title":"A review of Deep learning Techniques for COVID-19 identification on Chest CT images","created":"2022-07-29","cited_by_count":0,"area":null},{"id":"2208.01637","title":"Comparative Analysis of State-of-the-Art Deep Learning Models for Detecting COVID-19 Lung Infection from Chest X-Ray Images","created":"2022-07-01","cited_by_count":0,"area":null},{"id":"2212.13715","title":"MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images","created":"2022-12-28","cited_by_count":0,"area":null},{"id":"2304.13135","title":"MEDNC: Multi-ensemble deep neural network for COVID-19 diagnosis","created":"2023-04-25","cited_by_count":0,"area":null},{"id":"2401.07020","title":"Empowering Medical Imaging with Artificial Intelligence: A Review of Machine Learning Approaches for the Detection, and Segmentation of COVID-19 Using Radiographic and Tomographic Images","created":"2024-01-13","cited_by_count":0,"area":null}],"next_cursor":null}