Cover Image

Yucca: A Deep Learning Framework For Medical Image Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Llambias, Sebastian Nørgaard, Machnio, Julia, Munk, Asbjørn, Ambsdorf, Jakob, Nielsen, Mads, Ghazi, Mostafa Mehdipour
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Scalable and Robust White Matter Lesion Localization via Multimodal Deep Learning
by: Machnio, Julia, et al.
Published: (2025)

AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation
by: Munk, Asbjørn, et al.
Published: (2024)

A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning
by: Cerri, Stefano, et al.
Published: (2025)

Assessing the Efficacy of Classical and Deep Neuroimaging Biomarkers in Early Alzheimer's Disease Diagnosis
by: Nielsen, Milla E., et al.
Published: (2024)

Non-Reference Quality Assessment for Medical Imaging: Application to Synthetic Brain MRIs
by: Risager, Karl Van Eeden, et al.
Published: (2024)

RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation
by: Albertsen, Simon Winther, et al.
Published: (2025)

Deep Learning-Based Regional White Matter Hyperintensity Mapping as a Robust Biomarker for Alzheimer's Disease
by: Machnio, Julia, et al.
Published: (2025)

To Label or Not to Label: PALM -- A Predictive Model for Evaluating Sample Efficiency in Active Learning Models
by: Machnio, Julia, et al.
Published: (2025)

Unsupervised Detection of Fetal Brain Anomalies using Denoising Diffusion Models
by: Olsen, Markus Ditlev Sjøgren, et al.
Published: (2024)

A Unified Deep Learning Framework for Motion Correction in Medical Imaging
by: Wang, Jian, et al.
Published: (2024)

Deep Perceptual Enhancement for Medical Image Analysis
by: Sharif, S M A, et al.
Published: (2025)

Deep Learning in Medical Image Registration: Magic or Mirage?
by: Jena, Rohit, et al.
Published: (2024)

Multimodal Deep Learning for Stroke Prediction and Detection using Retinal Imaging and Clinical Data
by: Shurrab, Saeed, et al.
Published: (2025)

Automated Retinal Image Analysis and Medical Report Generation through Deep Learning
by: Huang, Jia-Hong
Published: (2024)

Federated Learning for Medical Image Analysis: A Survey
by: Guan, Hao, et al.
Published: (2023)

Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review
by: Kebaili, Aghiles, et al.
Published: (2023)

Rethinking Boundary Detection in Deep Learning-Based Medical Image Segmentation
by: Lin, Yi, et al.
Published: (2025)

A Symmetric Dynamic Learning Framework for Diffeomorphic Medical Image Registration
by: Deng, Jinqiu, et al.
Published: (2024)

The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning
by: Kurmukov, Anvar, et al.
Published: (2024)

IMIL: Interactive Medical Image Learning Framework
by: Rao, Adrit, et al.
Published: (2024)

Denoising Diffusion Models for Anomaly Localization in Medical Images
by: Bercea, Cosmin I., et al.
Published: (2024)

Advancements in Feature Extraction Recognition of Medical Imaging Systems Through Deep Learning Technique
by: Zhan, Qishi, et al.
Published: (2024)

Evaluation of Extra Pixel Interpolation with Mask Processing for Medical Image Segmentation with Deep Learning
by: Rukundo, Olivier
Published: (2023)

Deep Learning Applications in Medical Image Analysis: Advancements, Challenges, and Future Directions
by: Eli, Aimina Ali, et al.
Published: (2024)

MedFuncta: A Unified Framework for Learning Efficient Medical Neural Fields
by: Friedrich, Paul, et al.
Published: (2025)

Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision Mamba
by: Malekmohammadi, Amin, et al.
Published: (2024)

TBConvL-Net: A Hybrid Deep Learning Architecture for Robust Medical Image Segmentation
by: Iqbal, Shahzaib, et al.
Published: (2024)

Multi-scale Feature Enhancement in Multi-task Learning for Medical Image Analysis
by: Bui, Phuoc-Nguyen, et al.
Published: (2024)

Deep Generative Models for 3D Medical Image Synthesis
by: Friedrich, Paul, et al.
Published: (2024)

PINNs for Medical Image Analysis: A Survey
by: Banerjee, Chayan, et al.
Published: (2024)

From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review
by: Reithmeir, Anna, et al.
Published: (2024)

Staged Voxel-Level Deep Reinforcement Learning for 3D Medical Image Segmentation with Noisy Annotations
by: Fu, Yuyang, et al.
Published: (2026)

Deep Learning Architectures for Medical Image Denoising: A Comparative Study of CNN-DAE, CADTra, and DCMIEDNet
by: Rahman, Asadullah Bin, et al.
Published: (2025)

Multimodal Medical Endoscopic Image Analysis via Progressive Disentangle-aware Contrastive Learning
by: Wu, Junhao, et al.
Published: (2025)

Mutual Evidential Deep Learning for Medical Image Segmentation
by: He, Yuanpeng, et al.
Published: (2025)

Diffusion-Based Approaches in Medical Image Generation and Analysis
by: Nafi, Abdullah al Nomaan, et al.
Published: (2024)

Diagnostic Accuracy of Open-Source Vision-Language Models on Diverse Medical Imaging Tasks
by: Müller-Franzes, Gustav, et al.
Published: (2025)

Adversarial Distortion Learning for Medical Image Denoising
by: Ghahremani, Morteza, et al.
Published: (2022)

Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
by: Kumari, Pratibha, et al.
Published: (2023)

Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis
by: Hu, Yuxiang, et al.
Published: (2024)