Mahdieh Khanmohammadi

15 papers Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Core and Penumbra: Bi-Temporal Image-Driven Stroke Evolution Analysis.
CoRR
Md Sazidur Rahman, Kjersti Engan, Kathinka Dæhli Kurz, Mahdieh Khanmohammadi
2025 — conf
Stroke Simulation: Generative AI for Computed Tomography Perfusion Synthesis.
DSP
Mahdieh Khanmohammadi, Luca Tomasetti, Ahmed A. Hassan, Ørjan Vier, Carl H. Christiansen, Kjersti Engan, Kathinka Dæhli Kurz
2023 J jnl
CT Perfusion is All we Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Acute Ischemic Stroke.
IEEE Access
Luca Tomasetti, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Mahdieh Khanmohammadi
2023 J jnl
Exploiting 4D CT Perfusion for segmenting infarcted areas in patients with suspected acute ischemic stroke.
CoRR
Luca Tomasetti, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Mahdieh Khanmohammadi
2023 — conf
Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation.
ISBI
Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Michael Kampffmeyer
2023 J jnl
Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation.
CoRR
Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Michael Kampffmeyer
2022 J jnl
Machine Learning Algorithms Versus Thresholding to Segment Ischemic Regions in Patients With Acute Ischemic Stroke.
IEEE J. Biomed. Health Informatics
Luca Tomasetti, Liv Jorunn Høllesli, Kjersti Engan, Kathinka Dæhli Kurz, Martin Wilhelm Kurz, Mahdieh Khanmohammadi
2022 — conf
Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection.
NLDL
Luca Tomasetti, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz
2022 J jnl
Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection.
CoRR
Luca Tomasetti, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz
2021 J jnl
CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging.
CoRR
Luca Tomasetti, Kjersti Engan, Mahdieh Khanmohammadi, Kathinka Dæhli Kurz
2020 — conf
CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging.
BCB
Luca Tomasetti, Kjersti Engan, Mahdieh Khanmohammadi, Kathinka Dæhli Kurz
2017 — conf
Segmentation of coronary arteries from X-ray angiography sequences during contrast fluid propagation by image registration.
GlobalSIP
Mahdieh Khanmohammadi, Kjersti Engan, Trygve Eftestøl, C. Soland, A. I. Larsen
2014 — conf
Analysing the distribution of synaptic vesicles using a spatial point process model.
BCB
Mahdieh Khanmohammadi, Rasmus Waagepetersen, Nicoletta Nava, Jens Rondel Nyengaard, Jon Sporring
2014 — conf
Estimating the thickness of ultra thin sections for electron microscopy by image statistics.
ISBI
Jon Sporring, Mahdieh Khanmohammadi, Sune Darkner, Nicoletta Nava, Jens Rondel Nyengaard, Eva Bjorn Wedel Jensen
2009 J jnl
A Hybrid Technique for Thickness-Map Visualization of the Hip Cartilages in MRI.
IEICE Trans. Inf. Syst.
Mahdieh Khanmohammadi, Reza Aghaeizadeh Zoroofi, Takashi Nishii, Hisashi Tanaka, Yoshinobu Sato