Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

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Anatomical dimensions using preoperative magnetic resonance imaging: impact on the learning curve of robot-assisted laparoscopic prostatectomy.

OBJECTIVE: To evaluate the impact of anatomical dimensions as measured using preoperative magnetic r...

Sep 2014 25212691
Predictors of schizophrenia spectrum disorders in early-onset first episodes of psychosis: a support vector machine model.

Identifying early-onset schizophrenia spectrum disorders (SSD) at a very early stage remains challen...

Aug 2014 25109600
Detection of temporal lobe epilepsy using support vector machines in multi-parametric quantitative MR imaging.

The detection of MRI abnormalities that can be associated to seizures in the study of temporal lobe ...

Jul 2014 25103878
Diagnostic classification of specific phobia subtypes using structural MRI data: a machine-learning approach.

While neuroimaging research has advanced our knowledge about fear circuitry dysfunctions in anxiety ...

Jul 2014 25037587
Computer-aided diagnosis of malignant mammograms using Zernike moments and SVM.

This work is directed toward the development of a computer-aided diagnosis (CAD) system to detect ab...

Jul 2014 25005867
Enhanced needle localization in ultrasound using beam steering and learning-based segmentation.

Segmentation of needles in ultrasound images remains a challenging problem. In this paper, we introd...

Jul 2014 25063736
A data-driven approach to prostate cancer detection from dynamic contrast enhanced MRI.

Magnetic resonance imaging (MRI), particularly dynamic contrast enhanced (DCE) imaging, has shown gr...

Jul 2014 25060941
Identifying Neuroimaging Markers of Motor Disability in Acute Stroke by Machine Learning Techniques.

Conventional mass-univariate analyses have been previously used to test for group differences in neu...

May 2014 24836690
Robot-assisted therapy for improving social interactions and activity participation among institutionalized older adults: a pilot study.

INTRODUCTION: Animal-assisted therapy is gaining popularity as part of therapeutic activities for ol...

Apr 2014 24692085
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis.

Recently, there have been great interests for computer-aided diagnosis of Alzheimer's disease (AD) a...

Dec 2013 24363140
Natural Language Processing Based Solution for Labeling Brain Metastasis Identified in Radiology Reports

Abstract Purpose: Brain metastases (BM) far exceed primary CNS tumours and constitute the majority w...

Propagating Structural Guidance: Synthesizing Fluorescein Angiography from Fundus Images and Sparse OCT Scans

Fundus fluorescein angiography (FFA) is critical for assessing retinal vascular abnormalities, but i...

Unified Multimodal Model for Brain MRI Imputation and Understanding

Multimodal large language models (MLLMs) hold great potential for medicine, as they inherit knowledg...

A Multi-Center Benchmark for Abdominal Disease Diagnosis and Report Generation from Non-Contrast CT

Multiphasic contrast-enhanced CT (CECT) is widely used for abdominal lesion characterization, yet it...

Parameter-Efficient Adaptation of SAM 3 for Automated ITV Generation from 4DCT Images

Four-dimensional computed tomography (4DCT) captures the full respiratory cycle of thoracic anatomy,...

Mutual Distillation of Dual-Foundation Models for Semi-Supervised PET/CT Segmentation

Organ segmentation from PET/CT is critical for quantitative analysis and radiotherapy planning in on...

CRIS: Cross-Plane Self-Supervised Isotropic Restoration for Anisotropic Volumetric Imaging Across Modalities

Anisotropic volumetric acquisitions are common in clinical MRI and volume electron microscopy (vEM),...

Diffusion-Refined Segmentation and Vision-Language Interpretation for Pediatric Brain Tumor MRI

Accurate pediatric brain tumor segmentation remains challenging due to limited annotated data, heter...

Trimodal Glioma Representation Alignment via Volumetric Contrastive Learning

Glioma grading and survival prediction require the integration of heterogeneous information collecte...

A multi-agent system for spine MRI report generation from multi-sequence imaging

Spinal pathology is a leading cause of pain and disability worldwide. Spine magnetic resonance imagi...

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