TJO

The Journal of Machine Learning for Biomedical Imaging

Journal

H-Index = 14

Citations = 0

Papers

Evidence

Recent papers in The Journal of Machine Learning for Biomedical Imaging

Towards Trustworthy AI for Glioma Diagnosis: A Task-Aware Evaluation of Uncertainty QuantificationThe Journal of Machine Learning for Biomedical Imaging · Mon,
Knowledge-based anomaly detection for identifying network-induced shape artifactsThe Journal of Machine Learning for Biomedical Imaging · Mon,
RCC-AID: Renal Cell Carcinoma AI Dataset for Medical Imaging ResearchThe Journal of Machine Learning for Biomedical Imaging · Mon,
SAGE: An Expert-Annotated South Asian GI Endoscopy Dataset for Multimodal Learning and Hallucination AnalysisThe Journal of Machine Learning for Biomedical Imaging · Mon,
Multilingual Hematology Visual Question Answering DatasetThe Journal of Machine Learning for Biomedical Imaging · Mon,
A multi-site loiasis dataset of whole blood videosThe Journal of Machine Learning for Biomedical Imaging · Mon,
GLI-AL: A Multi-Modal Glioma MRI Label Resource with Unified Anatomy-Lesion LabelsThe Journal of Machine Learning for Biomedical Imaging · Mon,
Spinal-Multiple-Myeloma-SEG: A Dual-Energy CT Dataset Extended with Trabecular Bone Segmentation of Lumbar VertebraeThe Journal of Machine Learning for Biomedical Imaging · Mon,
Patient Pose Assessment Using a CT-Based Framework for Synthetic Data GenerationThe Journal of Machine Learning for Biomedical Imaging · Fri,
The MYOSAIQ Challenge: Myocardial Segmentation with Automated Infarct QuantificationThe Journal of Machine Learning for Biomedical Imaging · Fri,

About The Journal of Machine Learning for Biomedical Imaging

The Journal of Machine Learning for Biomedical Imaging carries h-index 14 in Synapse's enriched corpus. Each paper indexed here includes structured clinical evidence extraction (PICO), methodology classification with level of evidence, and links to related guideline recommendations where applicable.

On Synapse's credibility score (derived from SJR ranking and cross-citation patterns), The Journal of Machine Learning for Biomedical Imaging sits among the highest-credibility cardiovascular journals.

Use the feed below to follow new The Journal of Machine Learning for Biomedical Imaging publications with AI-enriched analysis — each paper is decomposed into study design, population, intervention, comparator, primary outcome, and key finding, with the underlying evidence traceable to the primary source.

Deterministic synthesis from Synapse's enriched records — 108 words.