On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

Trend · papers per month

count % of corpus

3 results for “DICOM”

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redactionstat.ML

Hybrid AI and rule-based framework de-identifies medical imaging data.

problem De-identifying medical imaging data to protect PHI and PII.

method Combines rule-based and AI techniques with uncertainty quantification.

result Robust performance across benchmark datasets and regulatory standards.

DICOM de-identification AI rule-based uncertainty quantification

2025-07-31abs ↗pdf ↗

Left Ventricle Segmentation and Volume Estimation on Cardiac MRI using Deep Learningcs.CV

In the United States, heart disease is the leading cause of death for both men and women, accounting for 610,000 deaths each year [1]. Physicians use Magnetic Resonance Imaging (MRI) scans to take images of the heart in order to non-invasively estimate its structural and functional parameters for cardiovascular diagnos…

2018-09-14abs ↗pdf ↗

Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical imagesstat.ML

Study compares DL models for medical image segmentation, finds synergistic ensemble strategies improve performance.

problem Improving DL models for specialized medical image segmentation using transfer learning.

method Detailed comparisons of TII and LMI models for binary segmentation of medical images.

result Ensemble strategies improve performance by 10% in certain scenarios.

Deep Learning Medical Imaging Transfer Learning Segmentation Ensemble Methods

2020-11-11abs ↗pdf ↗