Mahdieh Khanmohammadi

15 papers Journal 8Unranked 7

Year	Rank	Type	Title / 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