{"total":121,"rows":[{"id":"2109.04335","title":"UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer","created":"2021-09-09","cited_by_count":197,"area":null},{"id":"2211.14830","title":"Medical Image Segmentation Review: The success of U-Net","created":"2022-11-27","cited_by_count":191,"area":null},{"id":"2105.13381","title":"Recent advances and clinical applications of deep learning in medical image analysis","created":"2021-05-27","cited_by_count":104,"area":null},{"id":"2304.06716","title":"STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training","created":"2023-04-13","cited_by_count":100,"area":null},{"id":"2204.10836","title":"Federated Learning Enables Big Data for Rare Cancer Boundary Detection","created":"2022-04-22","cited_by_count":84,"area":null},{"id":"2311.11969","title":"SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks","created":"2023-11-20","cited_by_count":55,"area":null},{"id":"2105.07451","title":"MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation","created":"2021-05-16","cited_by_count":53,"area":null},{"id":"2105.05874","title":"The Federated Tumor Segmentation (FeTS) Challenge","created":"2021-05-12","cited_by_count":50,"area":null},{"id":"2201.00462","title":"D-Former: A U-shaped Dilated Transformer for 3D Medical Image Segmentation","created":"2022-01-03","cited_by_count":35,"area":null},{"id":"2103.06205","title":"Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient","created":"2021-03-10","cited_by_count":26,"area":null},{"id":"2203.10977","title":"Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis","created":"2022-03-21","cited_by_count":25,"area":null},{"id":"2307.09973","title":"Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher","created":"2023-07-14","cited_by_count":21,"area":null},{"id":"2111.00528","title":"Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation","created":"2021-10-31","cited_by_count":17,"area":null},{"id":"2207.07798","title":"CharFormer: A Glyph Fusion based Attentive Framework for High-precision Character Image Denoising","created":"2022-07-16","cited_by_count":16,"area":null},{"id":"2310.12570","title":"DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation","created":"2023-10-19","cited_by_count":16,"area":null},{"id":"2107.12461","title":"Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation","created":"2021-07-26","cited_by_count":12,"area":null},{"id":"2111.07535","title":"T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging","created":"2021-11-15","cited_by_count":11,"area":null},{"id":"2206.01793","title":"R2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentation","created":"2022-06-03","cited_by_count":11,"area":null},{"id":"2308.13415","title":"An investigation into the impact of deep learning model choice on sex and race bias in cardiac MR segmentation","created":"2023-08-25","cited_by_count":8,"area":null},{"id":"2504.11008","title":"MediSee: Reasoning-based Pixel-level Perception in Medical Images","created":"2025-04-15","cited_by_count":8,"area":null},{"id":"2101.00232","title":"Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?","created":"2021-01-01","cited_by_count":7,"area":null},{"id":"2205.09706","title":"k-strip: A novel segmentation algorithm in k-space for the application of skull stripping","created":"2022-05-19","cited_by_count":7,"area":null},{"id":"2103.16563","title":"Physics-based Differentiable Depth Sensor Simulation","created":"2021-03-30","cited_by_count":6,"area":null},{"id":"2106.12917","title":"Continuous-Time Deep Glioma Growth Models","created":"2021-06-23","cited_by_count":6,"area":null},{"id":"2206.06484","title":"On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice","created":"2022-06-13","cited_by_count":6,"area":null},{"id":"2206.07171","title":"Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey","created":"2022-06-14","cited_by_count":6,"area":null},{"id":"2210.08305","title":"PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds","created":"2022-10-15","cited_by_count":6,"area":null},{"id":"2211.04161","title":"Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty","created":"2022-11-08","cited_by_count":6,"area":null},{"id":"2303.03633","title":"Sketch-based Medical Image Retrieval","created":"2023-03-07","cited_by_count":6,"area":null},{"id":"2112.01034","title":"Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data","created":"2021-12-02","cited_by_count":5,"area":null},{"id":"2207.09521","title":"The Dice loss in the context of missing or empty labels: Introducing $\\Phi$ and $\\epsilon$","created":"2022-07-19","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":"2211.03072","title":"BriFiSeg: a deep learning-based method for semantic and instance segmentation of nuclei in brightfield images","created":"2022-11-06","cited_by_count":5,"area":null},{"id":"2211.16693","title":"Visual-tactile Fusion for Transparent Object Grasping in Complex Backgrounds","created":"2022-11-30","cited_by_count":5,"area":null},{"id":"2312.13947","title":"PhysRFANet: Physics-Guided Neural Network for Real-Time Prediction of Thermal Effect During Radiofrequency Ablation Treatment","created":"2023-12-21","cited_by_count":5,"area":null},{"id":"2401.09283","title":"A gradient-based approach to fast and accurate head motion compensation in cone-beam CT","created":"2024-01-17","cited_by_count":5,"area":null},{"id":"2411.05223","title":"Generalizable Single-Source Cross-modality Medical Image Segmentation via Invariant Causal Mechanisms","created":"2024-11-07","cited_by_count":5,"area":null},{"id":"2102.13280","title":"MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures","created":"2021-02-26","cited_by_count":4,"area":null},{"id":"2103.12328","title":"Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval","created":"2021-03-23","cited_by_count":4,"area":null},{"id":"2107.12321","title":"MAG-Net: Multi-task attention guided network for brain tumor segmentation and classification","created":"2021-07-26","cited_by_count":4,"area":null},{"id":"2109.14919","title":"A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images","created":"2021-09-30","cited_by_count":4,"area":null},{"id":"2308.02559","title":"DLSIA: Deep Learning for Scientific Image Analysis","created":"2023-08-02","cited_by_count":4,"area":null},{"id":"2504.14737","title":"SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training","created":"2025-04-20","cited_by_count":4,"area":null},{"id":"2101.08888","title":"Analyzing Epistemic and Aleatoric Uncertainty for Drusen Segmentation in Optical Coherence Tomography Images","created":"2021-01-21","cited_by_count":3,"area":null},{"id":"2307.03461","title":"A Deep Active Contour Model for Delineating Glacier Calving Fronts","created":"2023-07-07","cited_by_count":3,"area":null},{"id":"2309.11876","title":"Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-training","created":"2023-09-21","cited_by_count":3,"area":null},{"id":"2505.17544","title":"FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation","created":"2025-05-23","cited_by_count":3,"area":null},{"id":"2512.06206","title":"The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning","created":"2025-12-05","cited_by_count":3,"area":null},{"id":"2101.07653","title":"Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks","created":"2021-01-19","cited_by_count":2,"area":null},{"id":"2102.00663","title":"Densely Connected Recurrent Residual (Dense R2UNet) Convolutional Neural Network for Segmentation of Lung CT Images","created":"2021-02-01","cited_by_count":2,"area":null},{"id":"2105.00967","title":"A lightweight deep learning based cloud detection method for Sentinel-2A imagery fusing multi-scale spectral and spatial features","created":"2021-04-29","cited_by_count":2,"area":null},{"id":"2112.02101","title":"View-Consistent Metal Segmentation in the Projection Domain for Metal Artifact Reduction in CBCT -- An Investigation of Potential Improvement","created":"2021-12-03","cited_by_count":2,"area":null},{"id":"2210.01538","title":"Analysis of the performance of U-Net neural networks for the segmentation of living cells","created":"2022-10-04","cited_by_count":2,"area":null},{"id":"2304.14071","title":"Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-focused nnU-Net","created":"2023-04-27","cited_by_count":2,"area":null},{"id":"2306.14209","title":"Deep image prior inpainting of ancient frescoes in the Mediterranean Alpine arc","created":"2023-06-25","cited_by_count":2,"area":null},{"id":"2307.03827","title":"Effect of Intensity Standardization on Deep Learning for WML Segmentation in Multi-Centre FLAIR MRI","created":"2023-07-07","cited_by_count":2,"area":null},{"id":"2311.05021","title":"Leveraging a realistic synthetic database to learn Shape-from-Shading for estimating the colon depth in colonoscopy images","created":"2023-11-08","cited_by_count":2,"area":null},{"id":"2311.13319","title":"Deep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging","created":"2023-11-22","cited_by_count":2,"area":null},{"id":"2402.13918","title":"BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagery","created":"2024-02-21","cited_by_count":2,"area":null},{"id":"2504.03654","title":"PointSplit: Towards On-device 3D Object Detection with Heterogeneous Low-power Accelerators","created":"2025-03-04","cited_by_count":2,"area":null},{"id":"2511.06665","title":"Sim4Seg: Boosting Multimodal Multi-disease Medical Diagnosis Segmentation with Region-Aware Vision-Language Similarity Masks","created":"2025-11-10","cited_by_count":2,"area":null},{"id":"2101.05021","title":"A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture","created":"2021-01-13","cited_by_count":1,"area":null},{"id":"2104.08789","title":"An Uncertainty-aware Hierarchical Probabilistic Network for Early Prediction, Quantification and Segmentation of Pulmonary Tumour Growth","created":"2021-04-18","cited_by_count":1,"area":null},{"id":"2108.06772","title":"Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation","created":"2021-08-15","cited_by_count":1,"area":null},{"id":"2203.08194","title":"UNet Architectures in Multiplanar Volumetric Segmentation -- Validated on Three Knee MRI Cohorts","created":"2022-03-15","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":"2211.11607","title":"Semantic Segmentation for Fully Automated Macrofouling Analysis on Coatings after Field Exposure","created":"2022-11-21","cited_by_count":1,"area":null},{"id":"2212.07276","title":"M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision","created":"2022-12-14","cited_by_count":1,"area":null},{"id":"2304.00801","title":"Noisy Image Segmentation With Soft-Dice","created":"2023-04-03","cited_by_count":1,"area":null},{"id":"2304.09620","title":"DCELANM-Net:Medical Image Segmentation based on Dual Channel Efficient Layer Aggregation Network with Learner","created":"2023-04-19","cited_by_count":1,"area":null},{"id":"2402.10665","title":"Soft Dice Confidence: A Near-Optimal Confidence Estimator for Selective Prediction in Semantic Segmentation","created":"2024-02-16","cited_by_count":1,"area":null},{"id":"2403.04998","title":"Robust automated calcification meshing for biomechanical cardiac digital twins","created":"2024-03-08","cited_by_count":1,"area":null},{"id":"2412.10997","title":"Mask Enhanced Deeply Supervised Prostate Cancer Detection on B-mode Micro-Ultrasound","created":"2024-12-14","cited_by_count":1,"area":null},{"id":"2501.02428","title":"Framework for lung CT image segmentation based on UNet++","created":"2025-01-05","cited_by_count":1,"area":null},{"id":"2502.02756","title":"Adaptive Voxel-Weighted Loss Using L1 Norms in Deep Neural Networks for Detection and Segmentation of Prostate Cancer Lesions in PET/CT Images","created":"2025-02-04","cited_by_count":1,"area":null},{"id":"2504.05271","title":"AnomalousNet: A Hybrid Approach with Attention U-Nets and Change Point Detection for Accurate Characterization of Anomalous Diffusion in Video Data","created":"2025-04-07","cited_by_count":1,"area":null},{"id":"2504.06921","title":"Leveraging Anatomical Priors for Automated Pancreas Segmentation on Abdominal CT","created":"2025-04-09","cited_by_count":1,"area":null},{"id":"2504.06924","title":"Longitudinal Assessment of Lung Lesion Burden in CT","created":"2025-04-09","cited_by_count":1,"area":null},{"id":"2511.12110","title":"MediRound: Multi-Round Entity-Level Reasoning Segmentation in Medical Images","created":"2025-11-15","cited_by_count":1,"area":null},{"id":"2101.08609","title":"MPASNET: Motion Prior-Aware Siamese Network for Unsupervised Deep Crowd Segmentation in Video Scenes","created":"2021-01-21","cited_by_count":0,"area":null},{"id":"2103.14969","title":"Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future","created":"2021-03-27","cited_by_count":0,"area":null},{"id":"2104.10874","title":"Focusing on Shadows for Predicting Heightmaps from Single Remotely Sensed RGB Images with Deep Learning","created":"2021-04-22","cited_by_count":0,"area":null},{"id":"2106.11284","title":"Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation","created":"2021-06-21","cited_by_count":0,"area":null},{"id":"2108.01941","title":"Automatic cerebral hemisphere segmentation in rat MRI with lesions via attention-based convolutional neural networks","created":"2021-08-04","cited_by_count":0,"area":null},{"id":"2108.02676","title":"Redesigning Fully Convolutional DenseUNets for Large Histopathology Images","created":"2021-08-05","cited_by_count":0,"area":null},{"id":"2111.06693","title":"Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2","created":"2021-11-12","cited_by_count":0,"area":null},{"id":"2202.04650","title":"Semantic Segmentation of Anaemic RBCs Using Multilevel Deep Convolutional Encoder-Decoder Network","created":"2022-02-09","cited_by_count":0,"area":null},{"id":"2202.08546","title":"An overview of deep learning in medical imaging","created":"2022-02-17","cited_by_count":0,"area":null},{"id":"2204.04993","title":"Ischemic Stroke Lesion Segmentation Using Adversarial Learning","created":"2022-04-11","cited_by_count":0,"area":null},{"id":"2206.00614","title":"Dual-stream spatiotemporal networks with feature sharing for monitoring animals in the home cage","created":"2022-06-01","cited_by_count":0,"area":null},{"id":"2208.03918","title":"Depth Quality-Inspired Feature Manipulation for Efficient RGB-D and Video Salient Object Detection","created":"2022-08-08","cited_by_count":0,"area":null},{"id":"2208.05050","title":"Automatic Ultrasound Image Segmentation of Supraclavicular Nerve Using Dilated U-Net Deep Learning Architecture","created":"2022-08-09","cited_by_count":0,"area":null},{"id":"2209.12157","title":"Dive into Self-Supervised Learning for Medical Image Analysis: Data, Models and Tasks","created":"2022-09-25","cited_by_count":0,"area":null},{"id":"2209.13408","title":"A Pathologist-Informed Workflow for Classification of Prostate Glands in Histopathology","created":"2022-09-27","cited_by_count":0,"area":null},{"id":"2212.09277","title":"Building Height Prediction with Instance Segmentation","created":"2022-12-19","cited_by_count":0,"area":null},{"id":"2212.13079","title":"Semi-Supervised Domain Adaptation for Semantic Segmentation of Roads from Satellite Images","created":"2022-12-26","cited_by_count":0,"area":null},{"id":"2212.13971","title":"CT-LungNet: A Deep Learning Framework for Precise Lung Tissue Segmentation in 3D Thoracic CT Scans","created":"2022-12-28","cited_by_count":0,"area":null},{"id":"2302.03839","title":"Futuristic Variations and Analysis in Fundus Images Corresponding to Biological Traits","created":"2023-02-08","cited_by_count":0,"area":null},{"id":"2303.02967","title":"Automated Peripancreatic Vessel Segmentation and Labeling Based on Iterative Trunk Growth and Weakly Supervised Mechanism","created":"2023-03-06","cited_by_count":0,"area":null},{"id":"2304.05448","title":"Scale-Space Hypernetworks for Efficient Biomedical Imaging","created":"2023-04-11","cited_by_count":0,"area":null}],"next_cursor":"100"}