{"total":57,"rows":[{"id":"2310.15161","title":"SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images","created":"2023-10-23","cited_by_count":107,"area":null},{"id":"2209.15076","title":"3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation","created":"2022-09-29","cited_by_count":94,"area":null},{"id":"2304.06131","title":"UniverSeg: Universal Medical Image Segmentation","created":"2023-04-12","cited_by_count":91,"area":null},{"id":"2301.03505","title":"Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review","created":"2023-01-09","cited_by_count":62,"area":null},{"id":"2312.17183","title":"Large-Vocabulary Segmentation for Medical Images with Text Prompts","created":"2023-12-28","cited_by_count":62,"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":"2312.07381","title":"ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image","created":"2023-12-12","cited_by_count":48,"area":null},{"id":"2503.08373","title":"nnInteractive: Redefining 3D Promptable Segmentation","created":"2025-03-11","cited_by_count":41,"area":null},{"id":"2304.14660","title":"Segment Anything Model for Medical Images?","created":"2023-04-28","cited_by_count":39,"area":null},{"id":"2206.10802","title":"SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI","created":"2022-06-22","cited_by_count":26,"area":null},{"id":"2204.09573","title":"Fetal Brain Tissue Annotation and Segmentation Challenge Results","created":"2022-04-20","cited_by_count":20,"area":null},{"id":"2401.13650","title":"Tyche: Stochastic In-Context Learning for Medical Image Segmentation","created":"2024-01-24","cited_by_count":20,"area":null},{"id":"2307.16896","title":"Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training","created":"2023-07-31","cited_by_count":15,"area":null},{"id":"2403.08550","title":"CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains","created":"2024-03-13","cited_by_count":14,"area":null},{"id":"2412.15058","title":"MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance","created":"2024-12-19","cited_by_count":13,"area":null},{"id":"2204.02779","title":"A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation","created":"2022-04-05","cited_by_count":11,"area":null},{"id":"2312.03102","title":"Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI","created":"2023-12-05","cited_by_count":10,"area":null},{"id":"2108.04175","title":"Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI","created":"2021-08-09","cited_by_count":8,"area":null},{"id":"2203.14962","title":"Learning to segment fetal brain tissue from noisy annotations","created":"2022-03-25","cited_by_count":7,"area":null},{"id":"2310.14172","title":"ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI Segmentation","created":"2023-10-22","cited_by_count":7,"area":null},{"id":"2403.15103","title":"Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data","created":"2024-03-22","cited_by_count":7,"area":null},{"id":"2409.04768","title":"Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis","created":"2024-09-07","cited_by_count":7,"area":null},{"id":"2205.08239","title":"CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI","created":"2022-05-17","cited_by_count":6,"area":null},{"id":"2505.02784","title":"Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge","created":"2025-05-05","cited_by_count":5,"area":null},{"id":"2111.04737","title":"Synthetic magnetic resonance images for domain adaptation: Application to fetal brain tissue segmentation","created":"2021-11-08","cited_by_count":4,"area":null},{"id":"2311.04780","title":"FetMRQC: a robust quality control system for multi-centric fetal brain MRI","created":"2023-11-08","cited_by_count":4,"area":null},{"id":"2504.02408","title":"Translation of Fetal Brain Ultrasound Images into Pseudo-MRI Images using Artificial Intelligence","created":"2025-04-03","cited_by_count":4,"area":null},{"id":"2111.02408","title":"Partial supervision for the FeTA challenge 2021","created":"2021-11-03","cited_by_count":3,"area":null},{"id":"2409.06716","title":"Detailed delineation of the fetal brain in diffusion MRI via multi-task learning","created":"2024-08-26","cited_by_count":3,"area":null},{"id":"2411.06842","title":"Evaluating Synthetic Data Generation for Domain Generalization in Fetal Brain MRI Segmentation","created":"2024-11-11","cited_by_count":3,"area":null},{"id":"2504.06742","title":"nnLandmark: A Self-Configuring Method for 3D Medical Landmark Detection","created":"2025-04-09","cited_by_count":3,"area":null},{"id":"2506.09668","title":"CINeMA: Conditional Implicit Neural Multi-Modal Atlas for a Spatio-Temporal Representation of the Perinatal Brain","created":"2025-06-11","cited_by_count":3,"area":null},{"id":"2512.16710","title":"A multi-centre, multi-device benchmark dataset for landmark-based comprehensive fetal biometry","created":"2025-12-18","cited_by_count":3,"area":null},{"id":"2109.03624","title":"FaBiAN: A Fetal Brain magnetic resonance Acquisition Numerical phantom","created":"2021-09-06","cited_by_count":2,"area":null},{"id":"2205.07575","title":"An automatic pipeline for atlas-based fetal and neonatal brain segmentation and analysis","created":"2022-05-16","cited_by_count":2,"area":null},{"id":"2209.06413","title":"Continuous longitudinal fetus brain atlas construction via implicit neural representation","created":"2022-09-14","cited_by_count":2,"area":null},{"id":"2504.10244","title":"Towards contrast- and pathology-agnostic clinical fetal brain MRI segmentation using SynthSeg","created":"2025-04-14","cited_by_count":2,"area":null},{"id":"2509.15947","title":"The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection","created":"2025-09-19","cited_by_count":2,"area":null},{"id":"2401.01160","title":"Train-Free Segmentation in MRI with Cubical Persistent Homology","created":"2024-01-02","cited_by_count":1,"area":null},{"id":"2601.07519","title":"cSVR: Convolutional Slice-to-Volume Reconstruction","created":"2026-01-12","cited_by_count":1,"area":null},{"id":"2601.15759","title":"Atlas-Assisted Segment Anything Model for Fetal Brain MRI (FeTal-SAM)","created":"2026-01-22","cited_by_count":1,"area":null},{"id":"2603.00145","title":"M-Gaussian: An Magnetic Gaussian Framework for Efficient Multi-Stack MRI Reconstruction","created":"2026-02-24","cited_by_count":1,"area":null},{"id":"2604.10963","title":"Delving Aleatoric Uncertainty in Medical Image Segmentation via Vision Foundation Models","created":"2026-04-13","cited_by_count":1,"area":null},{"id":"2211.14282","title":"Domain generalization in fetal brain MRI segmentation \\\\with multi-reconstruction augmentation","created":"2022-11-25","cited_by_count":0,"area":null},{"id":"2307.03579","title":"Unsupervised Segmentation of Fetal Brain MRI using Deep Learning Cascaded Registration","created":"2023-07-07","cited_by_count":0,"area":null},{"id":"2410.20532","title":"Search Wide, Focus Deep: Automated Fetal Brain Extraction with Sparse Training Data","created":"2024-10-27","cited_by_count":0,"area":null},{"id":"2411.02867","title":"AtlasSeg: Atlas Prior Guided Dual-U-Net for Cortical Segmentation in Fetal Brain MRI","created":"2024-11-05","cited_by_count":0,"area":null},{"id":"2508.20475","title":"Enhancing Corpus Callosum Segmentation in Fetal MRI via Pathology-Informed Domain Randomization","created":"2025-08-28","cited_by_count":0,"area":null},{"id":"2512.13534","title":"Pancakes: Consistent Multi-Protocol Image Segmentation Across Biomedical Domains","created":"2025-12-15","cited_by_count":0,"area":null},{"id":"2512.19486","title":"Dynamic Stream Network for Combinatorial Explosion Problem in Deformable Medical Image Registration","created":"2025-12-22","cited_by_count":0,"area":null},{"id":"2601.22990","title":"Self-Supervised Slice-to-Volume Reconstruction with Gaussian Representations for Fetal MRI","created":"2026-01-30","cited_by_count":0,"area":null},{"id":"2604.16655","title":"A Two-Stage Multi-Modal MRI Framework for Lifespan Brain Age Prediction","created":"2026-04-17","cited_by_count":0,"area":null},{"id":"2605.21861","title":"Learning Emergent Modular Representations in Multi-modality Medical Vision Foundation Models","created":"2026-05-21","cited_by_count":0,"area":null},{"id":"2606.01293","title":"ResNet-34 with Lightweight Decoder for Accurate and Efficient Segmentation of Fetal Brain MRI","created":"2026-05-31","cited_by_count":0,"area":null},{"id":"2606.20765","title":"Dataset-Aware Cold-Start Active Learning for Annotation-Efficient 3D Medical Image Segmentation","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2608.14763","title":"Cross-Modal Ultrasound-MRI Learning for Fetal Brain Ventricular Volumetry and Abnormality Screening","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2609.22635","title":"AWR-Net: Decoupling Anatomy and Appearance for 3D Fetal Brain Ultrasound Synthesis","created":"2026-09-18","cited_by_count":0,"area":null}],"next_cursor":null}