Tomaz Vrtovec

Journal: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society

Published: December 31, 2021

Spinopelvic measurements of sagittal balance with deep learning: systematic review and critical evaluation.

Journal: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society

Published: December 28, 2021

Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification.

Journal: Medical image analysis

Published: August 09, 2021

A deep learning tool for fully automated measurements of sagittal spinopelvic balance from X-ray images: performance evaluation.

Journal: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society

Published: October 31, 2019

Correction: Geometric, dosimetric and psychometric evaluation of three commercial AI software solutions for OAR auto-segmentation in head and neck radiotherapy.

Correction: Geometric, dosimetric and psychometric evaluation of three commercial AI software solutions for OAR auto-segmentation in head and neck radiotherapy.

Dosimetric assessment of deep learning based organ-at-risk segmentation: insights from the HaN-Seg challenge.

Dosimetric assessment of deep learning based organ-at-risk segmentation: insights from the HaN-Seg challenge.

Geometric, dosimetric and psychometric evaluation of three commercial AI software solutions for OAR auto-segmentation in head and neck radiotherapy.

Geometric, dosimetric and psychometric evaluation of three commercial AI software solutions for OAR auto-segmentation in head and neck radiotherapy.

HaN-Seg: The head and neck organ-at-risk CT and MR segmentation challenge.

HaN-Seg: The head and neck organ-at-risk CT and MR segmentation challenge.

Centerline-guided reinforcement learning model for pancreatic duct identifications.

Centerline-guided reinforcement learning model for pancreatic duct identifications.

Special Section Guest Editorial: Advances in High-Dimensional Medical Image Processing.

Special Section Guest Editorial: Advances in High-Dimensional Medical Image Processing.

A deep learning framework for vertebral morphometry and Cobb angle measurement with external validation.

A deep learning framework for vertebral morphometry and Cobb angle measurement with external validation.

Spinopelvic measurements of sagittal balance with deep learning: systematic review and critical evaluation.

Spinopelvic measurements of sagittal balance with deep learning: systematic review and critical evaluation.

Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification.

Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification.

A deep learning tool for fully automated measurements of sagittal spinopelvic balance from X-ray images: performance evaluation.

A deep learning tool for fully automated measurements of sagittal spinopelvic balance from X-ray images: performance evaluation.

Contour-aware multi-label chest X-ray organ segmentation.

Contour-aware multi-label chest X-ray organ segmentation.

Variability Analysis of Manual and Computer-Assisted Preoperative Thoracic Pedicle Screw Placement Planning.

Variability Analysis of Manual and Computer-Assisted Preoperative Thoracic Pedicle Screw Placement Planning.