:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kapoor, Jaivardhan, Macke, Jakob H., Baumgartner, Christian F.
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Machine Learning
Online Access:	https://arxiv.org/abs/2508.19482
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs
by: Behrendt, Finn, et al.
Published: (2023)

Neural Autoregressive Modeling of Brain Aging
by: Yesiloglu, Ridvan, et al.
Published: (2025)

Anatomical Foundation Models for Brain MRIs
by: Barbano, Carlo Alberto, et al.
Published: (2024)

CUTE-MRI: Conformalized Uncertainty-based framework for Time-adaptivE MRI
by: Fischer, Paul, et al.
Published: (2025)

Improving Virtual Contrast Enhancement using Longitudinal Data
by: Fayolle, Pierre, et al.
Published: (2025)

Promptable Counterfactual Diffusion Model for Unified Brain Tumor Segmentation and Generation with MRIs
by: Shen, Yiqing, et al.
Published: (2024)

Image and Video Quality Assessment using Prompt-Guided Latent Diffusion Models for Cross-Dataset Generalization
by: Mitra, Shankhanil, et al.
Published: (2024)

Normative Modeling using Multimodal Variational Autoencoders to Identify Abnormal Brain Structural Patterns in Alzheimer Disease
by: Kumar, Sayantan, et al.
Published: (2021)

Linearly Constrained Diffusion Implicit Models
by: Jayaram, Vivek, et al.
Published: (2024)

Accelerating MRI with Longitudinally-informed Latent Posterior Sampling
by: Urman, Yonatan, et al.
Published: (2024)

Scaling Next-Brain-Token Prediction for MEG
by: Csaky, Richard
Published: (2026)

BrainMetDetect: Predicting Primary Tumor from Brain Metastasis MRI Data Using Radiomic Features and Machine Learning Algorithms
by: Sadeghsalehi, Hamidreza
Published: (2024)

Language Models for Automated Classification of Brain MRI Reports and Growth Chart Generation
by: Daniali, Maryam, et al.
Published: (2025)

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients
by: Wu, Jiaqi, et al.
Published: (2025)

VALD-MD: Visual Attribution via Latent Diffusion for Medical Diagnostics
by: Siddiqui, Ammar A., et al.
Published: (2024)

A Literature Review on Fetus Brain Motion Correction in MRI
by: Zhang, Haoran, et al.
Published: (2024)

On Creating A Brain-To-Text Decoder
by: Lamprou, Zenon, et al.
Published: (2025)

NeuroMambaLLM: Dynamic Graph Learning of fMRI Functional Connectivity in Autistic Brains Using Mamba and Language Model Reasoning
by: Torabi, Yasaman, et al.
Published: (2026)

Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classification
by: Qu, Liang, et al.
Published: (2024)

TuLaBM: Tumor-Biased Latent Bridge Matching for Contrast-Enhanced MRI Synthesis
by: Rege, Atharva, et al.
Published: (2026)

Enhancing Brain Source Reconstruction by Initializing 3D Neural Networks with Physical Inverse Solutions
by: Morik, Marco, et al.
Published: (2024)

Field-Space Autoencoder for Scalable Climate Emulators
by: Meuer, Johannes, et al.
Published: (2026)

Composition and Alignment of Diffusion Models using Constrained Learning
by: Khalafi, Shervin, et al.
Published: (2025)

PSI3D: Plug-and-Play 3D Stochastic Inference with Slice-wise Latent Diffusion Prior
by: Guo, Wenhan, et al.
Published: (2025)

Universal Latent Homeomorphic Manifolds: A Framework for Cross-Domain Representation Unification
by: Wu, Tong, et al.
Published: (2026)

HyperVQ: MLR-based Vector Quantization in Hyperbolic Space
by: Goswami, Nabarun, et al.
Published: (2024)

How Suboptimal is Training rPPG Models with Videos and Targets from Different Body Sites?
by: Braun, Björn, et al.
Published: (2024)

Field-scale soil moisture estimated from Sentinel-1 SAR data using a knowledge-guided deep learning approach
by: Yu, Yi, et al.
Published: (2025)

Time Series Generative Learning with Application to Brain Imaging Analysis
by: Li, Zhenghao, et al.
Published: (2024)

IceBench-S2S: A Benchmark of Deep Learning for Challenging Subseasonal-to-Seasonal Daily Arctic Sea Ice Forecasting in Deep Latent Space
by: Xu, Jingyi, et al.
Published: (2026)

Enhancing Brain Age Estimation with a Multimodal 3D CNN Approach Combining Structural MRI and AI-Synthesized Cerebral Blood Volume Measures
by: Jomsky, Jordan, et al.
Published: (2024)

Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo
by: Achituve, Idan, et al.
Published: (2025)

Hallucination Detection in Virtually-Stained Histology: A Latent Space Baseline
by: Oh, Ji-Hun, et al.
Published: (2024)

A Comprehensive Framework for Automated Segmentation of Perivascular Spaces in Brain MRI with the nnU-Net
by: Pham, William, et al.
Published: (2024)

UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs
by: Mehta, Raghav, et al.
Published: (2025)

Endmember Extraction from Hyperspectral Images Using Self-Dictionary Approach with Linear Programming
by: Mizutani, Tomohiko
Published: (2024)

On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction
by: Han, Tianyu, et al.
Published: (2024)

Efficient Test-Time Adaptation through Latent Subspace Coefficients Search
by: Luo, Xinyu, et al.
Published: (2025)

SING: Semantic Image Communications using Null-Space and INN-Guided Diffusion Models
by: Chen, Jiakang, et al.
Published: (2025)

Distributed Federated Learning-Based Deep Learning Model for Privacy MRI Brain Tumor Detection
by: Zhou, Lisang, et al.
Published: (2024)