activity
20192026
most citedTowards a Computed Collateral Circulation Score in Ischemic Stroke

9 citations · 15 across the 9 of their papers we have counts for

collaborators

9 papers

cs.HC2026

NeuroVase: A Tangible Mobile Augmented Reality Learning System for Neurovascular Anatomy and Stroke Education

Bahar Jahani, Matsanga Leyila Kaseka, Marta Kersten-Oertel +1

Stroke remains a leading cause of mortality and disability worldwide, requiring rapid and informed clinical decision-making. A solid spatial understanding of cerebrovascular anatom…

eess.IV2026

Data-driven registration and modeling of brain deformation for image-guided neurosurgery

Tiago Assis, Colin P. Galvin, Joshua P. Castillo +12

Accurate compensation of brain deformation is critical for reliable image-guided neurosurgery. Surgical manipulation and tumor resection induce tissue motion, causing preoperative…

cs.CV2025

MRI-Based Brain Age Estimation with Supervised Contrastive Learning of Continuous Representation

Simon Joseph Clément Crête, Marta Kersten-Oertel, Yiming Xiao

MRI-based brain age estimation models aim to assess a subject's biological brain age based on information, such as neuroanatomical features. Various factors, including neurodegener…

eess.IV2024★ 1 cited

CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truths

Reihaneh Teimouri, Marta Kersten-Oertel, Yiming Xiao

Efficient and accurate brain ventricle segmentation from clinical CT scans is critical for emergency surgeries like ventriculostomy. With the challenges in poor soft tissue contras…

eess.IV2024★ 2 cited

Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning Models for Thoracic Anatomical Segmentation

Arash Harirpoush, Amirhossein Rasoulian, Marta Kersten-Oertel +1

Recent rising interests in patient-specific thoracic surgical planning and simulation require efficient and robust creation of digital anatomical models from automatic medical imag…

eess.IV2023

VesselShot: Few-shot learning for cerebral blood vessel segmentation

Mumu Aktar, Hassan Rivaz, Marta Kersten-Oertel +1

Angiography is widely used to detect, diagnose, and treat cerebrovascular diseases. While numerous techniques have been proposed to segment the vascular network from different imag…

cs.HC2022★ 1 cited

Assessment of user-interaction strategies for neurosurgical data navigation and annotation in virtual reality

Owen Hellum, Marta Kersten-Oertel, Yiming Xiao

While virtual-reality (VR) has shown great promise in radiological tasks, effective user-interaction strategies that can improve efficiency and ergonomics are still under-explored…

physics.med-ph2020★ 9 cited

Towards a Computed Collateral Circulation Score in Ischemic Stroke

Marta Kersten-Oertel, Ali Alamer, Vladimir Fonov +3

Stroke is the second leading cause of disability worldwide. In order to minimize disability, the goal of stroke treatment is to preserve tissue in the area where blood supply is de…

cs.CY2019★ 2 cited

A Conceptual Marketplace Model for IoT Generated Personal Data

Victor Molina, Marta Kersten-Oertel, Tristan Glatard

We propose a decentralized conceptual marketplace model for IoT generated personal data. Our model is based on a thorough analysis of personal data in a marketplace context, with s…