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Showing 1807-1827 of 6,123 articles

A Multimodal Physics-Informed Neural Network Approach for Mean Radiant Temperature Modeling

Outdoor thermal comfort is a critical determinant of urban livability, particularly in hot desert ...

Mar 2025 http://arxiv.org/abs/2503.08482v1

Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview

Objective. This paper presents an overview of generalizable and explainable artificial intelligenc...

Mar 2025 http://arxiv.org/abs/2503.08420v1

Towards a Multimodal MRI-Based Foundation Model for Multi-Level Feature Exploration in Segmentation, Molecular Subtyping, and Grading of Glioma

Accurate, noninvasive glioma characterization is crucial for effective clinical management. Tradit...

Mar 2025 http://arxiv.org/abs/2503.06828v1

Joint graphical model estimation using Stein-type shrinkage for fast large scale network inference in scRNAseq data

Graphical modeling is a widely used tool for analyzing conditional dependencies between variables ...

Mar 2025 http://arxiv.org/abs/2503.05448v1

Semi-Supervised Learning for Dose Prediction in Targeted Radionuclide: A Synthetic Data Study

Targeted Radionuclide Therapy (TRT) is a modern strategy in radiation oncology that aims to admini...

Mar 2025 http://arxiv.org/abs/2503.05367v1

GBT-SAM: Adapting a Foundational Deep Learning Model for Generalizable Brain Tumor Segmentation via Efficient Integration of Multi-Parametric MRI Data

Gliomas are aggressive brain tumors that require accurate imaging-based diagnosis, with segmentati...

Mar 2025 http://arxiv.org/abs/2503.04325v3

Bridging Synthetic-to-Real Gaps: Frequency-Aware Perturbation and Selection for Single-shot Multi-Parametric Mapping Reconstruction

Data-centric artificial intelligence (AI) has remarkably advanced medical imaging, with emerging m...

Mar 2025 http://arxiv.org/abs/2503.03475v1

NTR-Gaussian: Nighttime Dynamic Thermal Reconstruction with 4D Gaussian Splatting Based on Thermodynamics

Thermal infrared imaging offers the advantage of all-weather capability, enabling non-intrusive me...

Mar 2025 http://arxiv.org/abs/2503.03115v1

Spatiotemporal Variation Assessment and Improved Prediction Of Cyanobacteria Blooms in Lakes Using Improved Machine Learning Model Based on Multivariate Data.

Cyanobacterial blooms in shallow lakes pose a significant threat to aquatic ecosystems and public he...

Mar 2025 39775014

NNFit: A Self-Supervised Deep Learning Method for Accelerated Quantification of High-Resolution Short-Echo-Time MR Spectroscopy Datasets.

Purpose To develop and evaluate the performance of NNFit, a self-supervised deep learning method for...

Mar 2025 39812584

An Attention-Based Deep Neural Network Model to Detect Cis-Regulatory Elements at the Single-Cell Level From Multi-Omics Data.

Cis-regulatory elements (cREs) play a crucial role in regulating gene expression and determining cel...

Mar 2025 39904740

A Self-supervised Multimodal Deep Learning Approach to Differentiate Post-radiotherapy Progression from Pseudoprogression in Glioblastoma

Accurate differentiation of pseudoprogression (PsP) from True Progression (TP) following radiother...

Feb 2025 http://arxiv.org/abs/2502.03999v1

Oncology/Hematology

Browse Categories

A Multimodal Physics-Informed Neural Network Approach for Mean Radiant Temperature Modeling

Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview

Towards a Multimodal MRI-Based Foundation Model for Multi-Level Feature Exploration in Segmentation, Molecular Subtyping, and Grading of Glioma

Joint graphical model estimation using Stein-type shrinkage for fast large scale network inference in scRNAseq data

Semi-Supervised Learning for Dose Prediction in Targeted Radionuclide: A Synthetic Data Study

GBT-SAM: Adapting a Foundational Deep Learning Model for Generalizable Brain Tumor Segmentation via Efficient Integration of Multi-Parametric MRI Data

Bridging Synthetic-to-Real Gaps: Frequency-Aware Perturbation and Selection for Single-shot Multi-Parametric Mapping Reconstruction

NTR-Gaussian: Nighttime Dynamic Thermal Reconstruction with 4D Gaussian Splatting Based on Thermodynamics

Spatiotemporal Variation Assessment and Improved Prediction Of Cyanobacteria Blooms in Lakes Using Improved Machine Learning Model Based on Multivariate Data.

NNFit: A Self-Supervised Deep Learning Method for Accelerated Quantification of High-Resolution Short-Echo-Time MR Spectroscopy Datasets.

An Attention-Based Deep Neural Network Model to Detect Cis-Regulatory Elements at the Single-Cell Level From Multi-Omics Data.

Revolutionizing Brain Tumor Detection Using Explainable AI in MRI Images.

Glioma Classification using Multi-sequence MRI and Novel Wavelets-based Feature Fusion

Subclass Classification of Gliomas Using MRI Fusion Technique

Diffusion Models for conditional MRI generation

Rapid Parameter Inference with Uncertainty Quantification for a Radiological Plume Source Identification Problem

Differentially private fine-tuned NF-Net to predict GI cancer type

Joint Modelling Histology and Molecular Markers for Cancer Classification

ARTInp: CBCT-to-CT Image Inpainting and Image Translation in Radiotherapy

LUND-PROBE -- LUND Prostate Radiotherapy Open Benchmarking and Evaluation dataset

A Self-supervised Multimodal Deep Learning Approach to Differentiate Post-radiotherapy Progression from Pseudoprogression in Glioblastoma

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