Cover Image

Conditional Fetal Brain Atlas Learning for Automatic Tissue Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tischer, Johannes, Kienast, Patric, Stümpflen, Marlene, Kasprian, Gregor, Langs, Georg, Licandro, Roxane
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning 68T07 (Primary) 92C50 (Secondary) I.4.9; I.4.6; I.2.0
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey
by: Ma, Siteng, et al.
Published: (2025)

Low-Cost Tree Crown Dieback Estimation Using Deep Learning-Based Segmentation
by: Allen, M. J., et al.
Published: (2024)

Fast TILs -- A Pipeline for Efficient TILs Estimation in Non-Small Cell Lung Cancer
by: Shvetsov, Nikita, et al.
Published: (2024)

IAMAP: Unlocking Deep Learning in QGIS for non-coders and limited computing resources
by: Tresson, Paul, et al.
Published: (2025)

Manual Labelling Artificially Inflates Deep Learning-Based Segmentation Performance on RGB Images of Closed Canopy: Validation Using TLS
by: Allen, Matthew J., et al.
Published: (2025)

SG-CLDFF: A Novel Framework for Automated White Blood Cell Classification and Segmentation
by: Gashti, Mehdi Zekriyapanah, et al.
Published: (2025)

Breast Cell Segmentation Under Extreme Data Constraints: Quantum Enhancement Meets Adaptive Loss Stabilization
by: Dasoju, Varun Kumar, et al.
Published: (2025)

Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty Measurement
by: Cao, Bryan Bo, et al.
Published: (2024)

Brain Stroke Classification Using Wavelet Transform and MLP Neural Networks on DWI MRI Images
by: Mohammadi, Mana, et al.
Published: (2025)

M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral Data
by: Allen, Matthew J, et al.
Published: (2024)

AI-assisted radiographic analysis in detecting alveolar bone-loss severity and patterns
by: Wimalasiri, Chathura, et al.
Published: (2025)

A Lightweight and Extensible Cell Segmentation and Classification Model for Whole Slide Images
by: Shvetsov, Nikita, et al.
Published: (2025)

Multi-stage Bridge Inspection System: Integrating Foundation Models with Location Anonymization
by: Yasuno, Takato
Published: (2026)

UESA-Net: U-Shaped Embedded Multidirectional Shrinkage Attention Network for Ultrasound Nodule Segmentation
by: Shi, Tangqi, et al.
Published: (2025)

Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion
by: Oskouei, Soroush, et al.
Published: (2024)

Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides
by: Høibø, Maren, et al.
Published: (2023)

Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities
by: Wagner, Felix, et al.
Published: (2024)

Grounding Synthetic Data Generation With Vision and Language Models
by: Çağlar, Ümit Mert, et al.
Published: (2026)

Automated MRI Tumor Segmentation using hybrid U-Net with Transformer and Efficient Attention
by: Ali, Syed Haider, et al.
Published: (2025)

Generative AI Pipeline for Interactive Prompt-driven 2D-to-3D Vascular Reconstruction for Fontan Geometries from Contrast-Enhanced X-Ray Fluoroscopy Imaging
by: Menon, Prahlad G
Published: (2025)

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation
by: Wang, Cheng, et al.
Published: (2025)

Detailed Evaluation of Modern Machine Learning Approaches for Optic Plastics Sorting
by: Maheshkar, Vaishali, et al.
Published: (2025)

Parameter-efficient fine-tuning (PEFT) of Vision Foundation Models for Atypical Mitotic Figure Classification
by: Ramchandani, Lavish, et al.
Published: (2025)

Uncertainty-Calibrated Explainable Artificial Intelligence for Fetal Ultrasound Plane Classification: A Systematic Review
by: Lundström-Imanov, Gustav Olaf Yunus Laitinen-Fredriksson, et al.
Published: (2026)

ArmFormer: Lightweight Transformer Architecture for Real-Time Multi-Class Weapon Segmentation and Classification
by: Kambhatla, Akhila, et al.
Published: (2025)

Fixed-Budget Parameter-Efficient Training with Frozen Encoders Improves Multimodal Chest X-Ray Classification
by: Khan, Md Ashik, et al.
Published: (2025)

Towards Interpretable Visual Decoding with Attention to Brain Representations
by: Feng, Pinyuan, et al.
Published: (2025)

Deep Learning for Generating Computational PIN-4 Immunohistochemistry Staining from Prostate Biopsy H&E Images
by: Tran, Vietbao, et al.
Published: (2026)

MIPHEI-ViT: Multiplex Immunofluorescence Prediction from H&E Images using ViT Foundation Models
by: Balezo, Guillaume, et al.
Published: (2025)

Non-destructive Identification of Oyster Species is possible from Hyperspectral Images with Machine Learning
by: Waters, Ethan Kane, et al.
Published: (2026)

DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time Adaptation
by: Weihsbach, Christian, et al.
Published: (2023)

espiownage: Tracking Transients in Steelpan Drum Strikes Using Surveillance Technology
by: Hawley, Scott H., et al.
Published: (2021)

BG-YOLO: A Bidirectional-Guided Method for Underwater Object Detection
by: Zhang, Jian, et al.
Published: (2024)

A Novel Approach to Breast Cancer Segmentation using U-Net Model with Attention Mechanisms and FedProx
by: Gad, Eyad, et al.
Published: (2025)

FLD+: Data-efficient Evaluation Metric for Generative Models
by: Jeevan, Pranav, et al.
Published: (2024)

WaveMixSR-V2: Enhancing Super-resolution with Higher Efficiency
by: Jeevan, Pranav, et al.
Published: (2024)

Normalizing Flow-Based Metric for Image Generation
by: Jeevan, Pranav, et al.
Published: (2024)

Trapped in texture bias? A large scale comparison of deep instance segmentation
by: Theodoridis, Johannes, et al.
Published: (2024)

Exploiting Precision Mapping and Component-Specific Feature Enhancement for Breast Cancer Segmentation and Identification
by: V, Pandiyaraju, et al.
Published: (2024)

HMS-VesselNet: Hierarchical Multi-Scale Attention Network with Topology-Preserving Loss for Retinal Vessel Segmentation
by: R, Amarnath
Published: (2026)