{"total":17,"rows":[{"id":"2107.04537","title":"Modality specific U-Net variants for biomedical image segmentation: A survey","created":"2021-07-09","cited_by_count":20,"area":null},{"id":"2104.05261","title":"Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment","created":"2021-04-12","cited_by_count":6,"area":null},{"id":"2110.14910","title":"Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review","created":"2021-10-28","cited_by_count":5,"area":null},{"id":"2107.06442","title":"GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray Images","created":"2021-07-14","cited_by_count":3,"area":null},{"id":"2404.14322","title":"A Novel Approach to Chest X-ray Lung Segmentation Using U-net and Modified Convolutional Block Attention Module","created":"2024-04-22","cited_by_count":3,"area":null},{"id":"2102.01059","title":"Automatic Detection of B-lines in Lung Ultrasound Videos From Severe Dengue Patients","created":"2021-02-01","cited_by_count":2,"area":null},{"id":"2102.06169","title":"COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing","created":"2021-02-11","cited_by_count":2,"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":"2405.12318","title":"Hierarchical SegNet with Channel and Context Attention for Accurate Lung Segmentation in Chest X-ray Images","created":"2024-05-20","cited_by_count":2,"area":null},{"id":"2106.09201","title":"Trilateral Attention Network for Real-time Medical Image Segmentation","created":"2021-06-17","cited_by_count":1,"area":null},{"id":"2110.10813","title":"CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images","created":"2021-10-20","cited_by_count":1,"area":null},{"id":"2205.11759","title":"UNet#: A UNet-like Redesigning Skip Connections for Medical Image Segmentation","created":"2022-05-24","cited_by_count":1,"area":null},{"id":"2307.12033","title":"Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data","created":"2023-07-22","cited_by_count":1,"area":null},{"id":"2101.08309","title":"Chest X-ray lung and heart segmentation based on minimal training sets","created":"2021-01-20","cited_by_count":0,"area":null},{"id":"2107.12291","title":"B-line Detection in Lung Ultrasound Videos: Cartesian vs Polar Representation","created":"2021-07-26","cited_by_count":0,"area":null},{"id":"2402.06499","title":"BarlowTwins-CXR : Enhancing Chest X-Ray abnormality localization in heterogeneous data with cross-domain self-supervised learning","created":"2024-02-09","cited_by_count":0,"area":null},{"id":"2412.10826","title":"Generative AI: A Pix2pix-GAN-Based Machine Learning Approach for Robust and Efficient Lung Segmentation","created":"2024-12-14","cited_by_count":0,"area":null}],"next_cursor":null}