Mahdieh Khanmohammadi | University of Stavanger

Contact

Telephone: 51832761

Email: mahdieh.khanmohammadi@uis.no

Room: KE E-427

Department

Faculty of Science and Technology

Department of Electrical Engineering and Computer Science

About me

Mahdieh Khanmohammadi works with basic research in medical signal/image processing, computer graphics, neural networks, and artificial intelligence. She is involved in several major, interdisciplinary research projects, for example: Image analysis and AI to investigate acute ischemic stroke (The project is in collaboration between University of Stavanger (UiS), Stavanger University Hospital (SUH)). Estimating coronary flow reserve using angiography imaging (A collaboration between University of Stavanger (UiS), Stavanger University Hospital (SUH), University of Copenhagen (KU)). She is a part of Cognitive and Behavioral Neuroscience Lab working on investigating the dementia progression in patients using EEG signals and functional magnetic resonance images. She is s part of CLoud ARtificial Intelligence For pathologY (CLARIFY), where the main goal of the project is to develop a digital diagnostic environment that facilitates whole-slide-image (WSI) interpretation and diagnosis everywhere.

Presently, she is particularly interested in analyzing medical signals and images to provide new insight into diseases such as stroke, cancer, dementia and heart related ones and insights that poses a computer modeling challenge.

Mahdieh Khanmohammadi has been employed as associate professor at IDE since 2019. She received her Master and PhD degree from University of Halmstad and University of Copenhagen (DIKU) in 2012 and 2015, respectively. Her PhD program was carried out as a part of The Centre for Stochastic Geometry and Advance Bioimaging (CSGB). Following her PhD, she worked as a visiting researcher at the Department of Mathematics and Statistics, Aalborg University, Denmark. In 2016, she became a post doctorate fellow at IDE.

Courses:

Electrical engineering 1 (Elektroteknikk 1) ELE100; Bachelor level

Medical images and signals ELE670; Master level

Follow me online

Publications

Vitenskapelige publikasjoner

Tomasetti, Luca; Hansen, Stine; Khanmohammadi, Mahdieh; Engan, Kjersti; Høllesli, Liv Jorunn; Kurz, Kathinka Dæhli; Kampffmeyer, Michael Christian

(2023)

Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation.

IEEE International Symposium on Biomedical Imaging.

ISSN 1945-7928.

DOI: 10.1109/ISBI53787.2023.10230655

Tomasetti, Luca; Engan, Kjersti; Høllesli , Liv Jorunn; Kurz, Kathinka Dæhli; Khanmohammadi, Mahdieh

(2023)

CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Acute Ischemic Stroke.

IEEE Access.

ISSN 2169-3536.

Volum 11.

s.138936-138953.

DOI: 10.1109/ACCESS.2023.3336590

Tomasetti, Luca; Khanmohammadi, Mahdieh; Engan, Kjersti; Høllesli, Liv Jorunn; Kurz, Kathinka Dæhli

(2022)

Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection.

Proceedings of the Northern Lights Deep Learning Workshop.

Volum 3.

DOI: 10.7557/18.6223

Tomasetti, Luca; Høllesli, Liv Jorunn; Engan, Kjersti; Kurz, Kathinka Dæhli; Kurz, Friedrich Martin Wilhelm; Khanmohammadi, Mahdieh

(2021)

Machine learning algorithms vs. thresholding to segment ischemic regions in patients with acute ischemic stroke .

IEEE Journal of Biomedical and Health Informatics.

ISSN 2168-2194.

s.1-12.

DOI: 10.1109/JBHI.2021.3097591

Tomasetti, Luca; Engan, Kjersti; Khanmohammadi, Mahdieh; Kurz, Kathinka Dæhli

(2020)

CNN based segmentation of infarcted regions in acute cerebral stroke patients from computed tomography perfusion imaging. I: BCB 20 : 11th ACM international conference on iioinformatics computational biology and health informatics : Virtual event USA September, 2020.

Association for Computing Machinery (ACM).

ISBN 9781450379649.

DOI: 10.1145/3388440.3412470

Khanmohammadi, Mahdieh; Engan, Kjersti; Sæland, Charlotte; Eftestøl, Trygve Christian; Larsen, Alf Inge

(2019)

Automatic estimation of coronary blood flow velocity step 1 for developing a tool to diagnose patients with micro-vascular angina pectoris.

Frontiers in Cardiovascular Medicine.

ISSN 2297-055X.

Volum 6:1.

s.1-11.

DOI: 10.3389/fcvm.2019.00001

Khanmohammadi, Mahdieh; Engan, Kjersti; Eftestøl, Trygve Christian; Sæland, Charlotte; Larsen, Alf Inge

(2017)

SEGMENTATION OF CORONARY ARTERIES FROM X-RAY ANGIOGRAPHY SEQUENCES DURING CONTRAST FLUID PROPAGATION BY IMAGE REGISTRATION. I: Proceedings Global Conferance on Signal and Information Processing GlobalSIP 2017.

IEEE Signal Processing Society.

ISBN 978-1-5090-5990-4.

Coeurjolly, Jean-Francois; Guan, Yongtao; Khanmohammadi, Mahdieh; Waagepetersen, Rasmus

(2016)

Towards optimal Takacs–Fiksel estimation.

Spatial Statistics.

ISSN 2211-6753.

Volum 18.

s.396-411.

DOI: 10.1016/j.spasta.2016.08.002

Formidling

Høllesli , Liv Jorunn; Tomasetti, Luca; Mouridsen, Kim; Kurz, Martin; Engan, Kjersti; Khanmohammadi, Mahdieh; Fjetland, Lars; Kurz, Kathinka Dæhli

(2023)

In patients with large vessel occlusion acute ischemic stroke, the distribution of CTP capillary transit time heterogeneity voxel values differs in recanalized versus non-recanalized patients.

European Stroke Organisation Conference 2023;

2023-05-24 - 2023-05-26.

Høllesli, Liv Jorunn; Tomasetti, Luca; Khanmohammadi, Mahdieh; Engan, Kjersti; Schulz, Jörn; Kurz, Friedrich Martin Wilhelm; Kurz, Kathinka Dæhli

(2022)

Kombinasjon av de parametriske CT perfusjonskartene TTP og CoV i pasienter med akutt ischemisk hjerneslag uten storkarsokklusjon predikerer penumbra. .

Radiologisk høstmøte 2022;

2022-10-26 - 2022-10-28.

Tomasetti, Luca; Khanmohammadi, Mahdieh; Høllesli , Liv Jorunn; Kurz, Kathinka Dæhli; Engan, Kjersti

(2022)

Predictions of infarcted areas in acute ischemic stroke using 4D Temporal Convolution Network.

NORA Annual Conference 2022;

2022-06-09 - 2022-06-10.

Tomasetti, Luca; Khanmohammadi, Mahdieh; Høllesli , Liv Jorunn; Kurz, Kathinka Dæhli; Engan, Kjersti

(2022)

Predictions of infarcted areas in acute ischemic stroke using 4D TCN.

hAIst Conference ;

2022-06-13 - 2022-06-14.

Tomasetti, Luca; Khanmohammadi, Mahdieh; Engan, Kjersti; Høllesli , Liv Jorunn; Kurz, Kathinka Dæhli

(2022)

Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection.

Proceedings of the Northern Lights Deep Learning Workshop;

2022-01-10 - 2022-01-12.

Tomasetti, Luca; Engan, Kjersti; Khanmohammadi, Mahdieh; Kurz, Kathinka Dæhli

(2020)

mJ-Net: CNN based segmentation of infarcted regions in ischemic cerebral stroke from CTP imaging.

Northern Lights Deep Learning Workshop 2020;

2020-01-19 - 2020-01-21.

Tomasetti, Luca; Engan, Kjersti; Khanmohammadi, Mahdieh; Kurz, Kathinka Dæhli

(2020)

Automatic segmentation of infarcted regions from computed tomography perfusion imaging using 3D Convolutional Neural Network.

9th International Conference on Neurological Disorders and Stroke;

2020-02-28 - 2020-02-29.

Khanmohammadi, Mahdieh; Engan, Kjersti; Eftestøl, Trygve Christian; sæland, charlotte; Larsen, Alf Inge

(2017)

SEGMENTATION OF CORONARY ARTERIES FROM X-RAY ANGIOGRAPHY SEQUENCES DURING CONTRAST FLUID PROPAGATION BY IMAGE REGISTRATION.

IEEE Signal Processing ;

2017-11-14 - 2017-11-16.