{"total":100,"rows":[{"id":"2209.02032","title":"Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets","created":"2022-09-05","cited_by_count":51,"area":null},{"id":"2203.09446","title":"Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks","created":"2022-03-17","cited_by_count":27,"area":null},{"id":"2202.08329","title":"CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs","created":"2022-02-16","cited_by_count":22,"area":null},{"id":"2112.09654","title":"FastSurferVINN: Building Resolution-Independence into Deep Learning Segmentation Methods -- A Solution for HighRes Brain MRI","created":"2021-12-17","cited_by_count":19,"area":null},{"id":"2211.04234","title":"Learning Spatio-Temporal Model of Disease Progression with NeuralODEs from Longitudinal Volumetric Data","created":"2022-11-08","cited_by_count":19,"area":null},{"id":"2208.06613","title":"A Study of Demographic Bias in CNN-based Brain MR Segmentation","created":"2022-08-13","cited_by_count":16,"area":null},{"id":"2209.05160","title":"Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration","created":"2022-09-12","cited_by_count":16,"area":null},{"id":"2107.05630","title":"Challenges for machine learning in clinical translation of big data imaging studies","created":"2021-07-07","cited_by_count":15,"area":null},{"id":"2312.05119","title":"Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI","created":"2023-12-08","cited_by_count":15,"area":null},{"id":"2401.12938","title":"Neural deformation fields for template-based reconstruction of cortical surfaces from MRI","created":"2024-01-23","cited_by_count":14,"area":null},{"id":"2206.06598","title":"CorticalFlow$^{++}$: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability","created":"2022-06-14","cited_by_count":12,"area":null},{"id":"2311.16914","title":"Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging","created":"2023-11-28","cited_by_count":11,"area":null},{"id":"2208.14360","title":"FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain","created":"2022-08-30","cited_by_count":10,"area":null},{"id":"2206.11233","title":"Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review","created":"2022-06-20","cited_by_count":8,"area":null},{"id":"2308.07003","title":"Deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks","created":"2023-08-14","cited_by_count":7,"area":null},{"id":"2409.03889","title":"Recon-all-clinical: Cortical surface reconstruction and analysis of heterogeneous clinical brain MRI","created":"2024-09-05","cited_by_count":7,"area":null},{"id":"2205.11346","title":"Spatial Attention-based Implicit Neural Representation for Arbitrary Reduction of MRI Slice Spacing","created":"2022-05-23","cited_by_count":6,"area":null},{"id":"2402.06190","title":"Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain","created":"2024-02-09","cited_by_count":6,"area":null},{"id":"2410.08397","title":"VoxelPrompt: A Vision Agent for End-to-End Medical Image Analysis","created":"2024-10-10","cited_by_count":6,"area":null},{"id":"2110.15601","title":"Whole Brain Segmentation with Full Volume Neural Network","created":"2021-10-29","cited_by_count":5,"area":null},{"id":"2206.02374","title":"CorticalFlow: A Diffeomorphic Mesh Deformation Module for Cortical Surface Reconstruction","created":"2022-06-06","cited_by_count":5,"area":null},{"id":"2211.02400","title":"Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data","created":"2022-11-04","cited_by_count":5,"area":null},{"id":"2211.05421","title":"Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation","created":"2022-11-10","cited_by_count":5,"area":null},{"id":"2307.12299","title":"Hybrid-CSR: Coupling Explicit and Implicit Shape Representation for Cortical Surface Reconstruction","created":"2023-07-23","cited_by_count":4,"area":null},{"id":"2407.03922","title":"POLAFFINI: Efficient feature-based polyaffine initialization for improved non-linear image registration","created":"2024-07-04","cited_by_count":4,"area":null},{"id":"2304.05901","title":"Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guide","created":"2023-04-12","cited_by_count":3,"area":null},{"id":"2401.12074","title":"DeepCERES: A Deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI","created":"2024-01-22","cited_by_count":3,"area":null},{"id":"2407.16128","title":"Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning","created":"2024-07-23","cited_by_count":3,"area":null},{"id":"2411.06140","title":"Deep Nonparametric Conditional Independence Tests for Images","created":"2024-11-09","cited_by_count":3,"area":null},{"id":"2510.17999","title":"Investigating Demographic Bias in Brain MRI Segmentation: A Comparative Study of Deep-Learning and Non-Deep-Learning Methods","created":"2025-10-20","cited_by_count":3,"area":null},{"id":"2108.04267","title":"Automated Olfactory Bulb Segmentation on High Resolutional T2-Weighted MRI","created":"2021-08-09","cited_by_count":2,"area":null},{"id":"2110.09473","title":"DBSegment: Fast and robust segmentation of deep brain structures -- Evaluation of transportability across acquisition domains","created":"2021-10-18","cited_by_count":2,"area":null},{"id":"2209.08933","title":"Estimating Brain Age with Global and Local Dependencies","created":"2022-09-19","cited_by_count":2,"area":null},{"id":"2303.10202","title":"Exploring contrast generalisation in deep learning-based brain MRI-to-CT synthesis","created":"2023-03-17","cited_by_count":2,"area":null},{"id":"2304.07756","title":"Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion","created":"2023-04-16","cited_by_count":2,"area":null},{"id":"2308.12736","title":"FastSurfer-HypVINN: Automated sub-segmentation of the hypothalamus and adjacent structures on high-resolutional brain MRI","created":"2023-08-24","cited_by_count":2,"area":null},{"id":"2311.02586","title":"Synthetic Tumor Manipulation: With Radiomics Features","created":"2023-11-05","cited_by_count":2,"area":null},{"id":"2312.02365","title":"MEDPSeg: Hierarchical polymorphic multitask learning for the segmentation of ground-glass opacities, consolidation, and pulmonary structures on computed tomography","created":"2023-12-04","cited_by_count":2,"area":null},{"id":"2312.08267","title":"TABSurfer: a Hybrid Deep Learning Architecture for Subcortical Segmentation","created":"2023-12-13","cited_by_count":2,"area":null},{"id":"2404.10572","title":"Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation","created":"2024-04-16","cited_by_count":2,"area":null},{"id":"2508.03982","title":"UNISELF: A Unified Network with Instance Normalization and Self-Ensembled Lesion Fusion for Multiple Sclerosis Lesion Segmentation","created":"2025-08-06","cited_by_count":2,"area":null},{"id":"2509.13360","title":"PREDICT-GBM: A multi-center platform to advance personalized glioblastoma radiotherapy planning","created":"2025-09-15","cited_by_count":2,"area":null},{"id":"2605.25991","title":"Fuzzy PyTorch: Rapid Numerical Variability Evaluation for Deep Learning Models","created":"2026-05-25","cited_by_count":2,"area":null},{"id":"2110.07711","title":"Gray Matter Segmentation in Ultra High Resolution 7 Tesla ex vivo T2w MRI of Human Brain Hemispheres","created":"2021-10-14","cited_by_count":1,"area":null},{"id":"2209.02876","title":"Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes","created":"2022-09-07","cited_by_count":1,"area":null},{"id":"2210.01772","title":"Joint Reconstruction and Parcellation of Cortical Surfaces","created":"2022-09-19","cited_by_count":1,"area":null},{"id":"2303.01105","title":"Evidence-empowered Transfer Learning for Alzheimer's Disease","created":"2023-03-02","cited_by_count":1,"area":null},{"id":"2308.02363","title":"Brain MRI Segmentation using Template-Based Training and Visual Perception Augmentation","created":"2023-08-04","cited_by_count":1,"area":null},{"id":"2310.16162","title":"Brainchop: Next Generation Web-Based Neuroimaging Application","created":"2023-10-24","cited_by_count":1,"area":null},{"id":"2311.17546","title":"VINNA for Neonates -- Orientation Independence through Latent Augmentations","created":"2023-11-29","cited_by_count":1,"area":null},{"id":"2404.13103","title":"ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images","created":"2024-04-19","cited_by_count":1,"area":null},{"id":"2409.04888","title":"A Quantitative Approach for Evaluating Disease Focus and Interpretability of Deep Learning Models for Alzheimer's Disease Classification","created":"2024-09-07","cited_by_count":1,"area":null},{"id":"2504.15931","title":"Benchmarking the Reproducibility of Brain MRI Segmentation Across Scanners and Time","created":"2025-04-22","cited_by_count":1,"area":null},{"id":"2505.14017","title":"End-to-end Cortical Surface Reconstruction from Clinical Magnetic Resonance Images","created":"2025-05-20","cited_by_count":1,"area":null},{"id":"2601.17180","title":"Conservative & Aggressive NaNs Accelerate U-Nets for Neuroimaging","created":"2026-01-23","cited_by_count":1,"area":null},{"id":"2602.17337","title":"Polaffini: A feature-based approach for robust affine and polyaffine image registration","created":"2026-02-19","cited_by_count":1,"area":null},{"id":"2603.04243","title":"A Unified Framework for Joint Detection of Lacunes and Enlarged Perivascular Spaces","created":"2026-03-04","cited_by_count":1,"area":null},{"id":"2109.03778","title":"Axial multi-layer perceptron architecture for automatic segmentation of choroid plexus in multiple sclerosis","created":"2021-09-08","cited_by_count":0,"area":null},{"id":"2205.01858","title":"DeeptDCS: Deep Learning-Based Estimation of Currents Induced During Transcranial Direct Current Stimulation","created":"2022-05-04","cited_by_count":0,"area":null},{"id":"2206.02837","title":"EVAC+: Multi-scale V-net with Deep Feature CRF Layers for Brain Extraction","created":"2022-06-06","cited_by_count":0,"area":null},{"id":"2206.14919","title":"Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions","created":"2022-06-29","cited_by_count":0,"area":null},{"id":"2303.00795","title":"Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation","created":"2023-03-01","cited_by_count":0,"area":null},{"id":"2307.11567","title":"CortexMorph: fast cortical thickness estimation via diffeomorphic registration using VoxelMorph","created":"2023-07-21","cited_by_count":0,"area":null},{"id":"2309.06677","title":"SHARM: Segmented Head Anatomical Reference Models","created":"2023-09-13","cited_by_count":0,"area":null},{"id":"2310.15778","title":"Privacy Protection in MRI Scans Using 3D Masked Autoencoders","created":"2023-10-24","cited_by_count":0,"area":null},{"id":"2312.05986","title":"Reconstruction of Cortical Surfaces with Spherical Topology from Infant Brain MRI via Recurrent Deformation Learning","created":"2023-12-10","cited_by_count":0,"area":null},{"id":"2402.08409","title":"Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging","created":"2024-02-13","cited_by_count":0,"area":null},{"id":"2402.17438","title":"V2C-Long: Longitudinal Cortex Reconstruction with Spatiotemporal Correspondence","created":"2024-02-27","cited_by_count":0,"area":null},{"id":"2405.14590","title":"MAMOC: MRI Motion Correction via Masked Autoencoding","created":"2024-05-23","cited_by_count":0,"area":null},{"id":"2407.08546","title":"Quantitative Evaluation of the Saliency Map for Alzheimer's Disease Classifier with Anatomical Segmentation","created":"2024-07-11","cited_by_count":0,"area":null},{"id":"2409.07020","title":"DDEvENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI","created":"2024-09-11","cited_by_count":0,"area":null},{"id":"2409.07584","title":"DS-ViT: Dual-Stream Vision Transformer for Cross-Task Distillation in Alzheimer's Early Diagnosis","created":"2024-09-11","cited_by_count":0,"area":null},{"id":"2412.14671","title":"MUSTER: Longitudinal Deformable Registration by Composition of Consecutive Deformations","created":"2024-12-19","cited_by_count":0,"area":null},{"id":"2503.07768","title":"NimbleReg: A light-weight deep-learning framework for diffeomorphic image registration","created":"2025-03-10","cited_by_count":0,"area":null},{"id":"2504.03376","title":"FLAIRBrainSeg: Fine-grained brain segmentation using FLAIR MRI only","created":"2025-04-04","cited_by_count":0,"area":null},{"id":"2504.06741","title":"Large Scale Supervised Pretraining For Traumatic Brain Injury Segmentation","created":"2025-04-09","cited_by_count":0,"area":null},{"id":"2505.21697","title":"Learning to Upscale 3D Segmentations in Neuroimaging","created":"2025-05-27","cited_by_count":0,"area":null},{"id":"2505.22685","title":"DeepMultiConnectome: Deep Multi-Task Prediction of Structural Connectomes Directly from Diffusion MRI Tractography","created":"2025-05-27","cited_by_count":0,"area":null},{"id":"2507.15777","title":"Label tree semantic losses for rich multi-class medical image segmentation","created":"2025-07-21","cited_by_count":0,"area":null},{"id":"2508.11450","title":"Subcortical Masks Generation in CT Images via Ensemble-Based Cross-Domain Label Transfer","created":"2025-08-15","cited_by_count":0,"area":null},{"id":"2508.16667","title":"BrainPath: A Biologically-Informed AI Framework for Individualized Aging Brain Generation","created":"2025-08-21","cited_by_count":0,"area":null},{"id":"2509.05238","title":"Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation","created":"2025-09-05","cited_by_count":0,"area":null},{"id":"2509.09513","title":"Reduced NEXI protocol for the quantification of human gray matter microstructure on the Connectome 2.0 scanner","created":"2025-09-11","cited_by_count":0,"area":null},{"id":"2509.14827","title":"Template-Based Cortical Surface Reconstruction with Minimal Energy Deformation","created":"2025-09-18","cited_by_count":0,"area":null},{"id":"2510.00667","title":"Beyond one-hot encoding? Journey into compact encoding for large multi-class segmentation","created":"2025-10-01","cited_by_count":0,"area":null},{"id":"2511.19471","title":"Not Quite Anything: Overcoming SAMs Limitations for 3D Medical Imaging","created":"2025-11-22","cited_by_count":0,"area":null},{"id":"2512.12222","title":"Comparison of different segmentation algorithms on brain volume and fractal dimension in infant brain MRIs","created":"2025-12-13","cited_by_count":0,"area":null},{"id":"2601.09006","title":"GOUHFI 2.0: A Next-Generation Toolbox for Brain Segmentation and Cortex Parcellation at Ultra-High Field MRI","created":"2026-01-13","cited_by_count":0,"area":null},{"id":"2601.09263","title":"BrainSegNet: A Novel Framework for Whole-Brain MRI Parcellation Enhanced by Large Models","created":"2026-01-14","cited_by_count":0,"area":null},{"id":"2602.13299","title":"KidMesh: Computational Mesh Reconstruction for Pediatric Congenital Hydronephrosis Using Deep Neural Networks","created":"2026-02-09","cited_by_count":0,"area":null},{"id":"2606.03566","title":"Efficient Transformer-Based Localized Patch Sampling for Choroid Plexus Segmentation in Multiple Sclerosis","created":"2026-06-02","cited_by_count":0,"area":null},{"id":"2607.16325","title":"RegionFM: Interpretable Region-Based Brain MRI Classification Using Foundation Model Embeddings","created":"2026-07-15","cited_by_count":0,"area":null},{"id":"2608.02692","title":"PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks","created":"2026-08-03","cited_by_count":0,"area":null},{"id":"2608.16039","title":"Decoupling Parcellation from Classification: Systematic Benchmark of Fast Brain Segmentation Methods for Alzheimer's Disease Detection","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2609.06807","title":"Comparative Study of Anatomical and Learned Features in AI Models for Structural Brain MRI","created":"2026-09-06","cited_by_count":0,"area":null},{"id":"2609.07718","title":"Spatial Feature-wise Linear Modulation (SpFiLM) for Contrast Agent-Aware Brain Parcellation","created":"2026-09-07","cited_by_count":0,"area":null},{"id":"2609.15888","title":"Anatomical Grounding and Leakage-Aware Multimodal Contrastive Learning for Alzheimer's Disease Classification from Structural MRI","created":"2026-09-14","cited_by_count":0,"area":null},{"id":"2609.22390","title":"Anatomically Faithful Artifact Suppression in SENSE Accelerated Brain MRI","created":"2026-09-18","cited_by_count":0,"area":null},{"id":"2610.16595","title":"Uncertainty-Aware Cortical Surface Reconstruction and Spherical Registration for Heterogeneous Brain MRI","created":"2026-10-12","cited_by_count":0,"area":null},{"id":"2610.17968","title":"dMRI-F: A Foundation Model for Generalizable Diffusion MRI Analysis from Sparse Acquisitions","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}