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Maryam Sadeghi, PhD student

  Maryam Sadeghi
Phone: +43 (0) 512 9003 - 70903
Fax: +43 (0) 512 9003 - 73922
Email: maryam.sadeghi ( at ) i-med.ac.at
Contact hours: appointment needed
Office: Schöpfstraße 41/1, Room 126

 


 

Main research topics

  • Artificial Intelligence, Medical Image processing, Digital pathology


Recent Projects

  • Image Analysis of histological flouroscent Mouse Brain sections:
    • Image Classification
    • Image Registration
    • Image Preprocessing & Analysis
  •  
  • histological H&E stained Renal Whole Slide Images:
    • Image Classification
    • Image Segmentation
    • Explainability in AI (XAI)
  •  
  • Breast Cancer Lymph Node Metastasis Detection in H&E stained histological images using Convolutional Neural Networks
  • Detection of small tumors in IR thermographic breast imaging

Publications

  • Sadeghi, M., Neto, P., Ramos-Prats, A., Castaldi, F., Paradiso, E., Mahmoodian, N., ... & Goebel, G. (2022, April). Automatic 2D to 3D localization of histological mouse brain sections in the reference atlas using deep learning. In Medical Imaging 2022: Image Processing(Vol. 12032, pp. 718-724). SPIE.
  • Ramos-Prats, A., Paradiso, E., Castaldi, F., Sadeghi, M., Mir, M. Y., Hörtnagl, H., ... & Ferraguti, F. (2022). VIP-expressing interneurons in the anterior insular cortex contribute to sensory processing to regulate adaptive behavior. Cell Reports39(9), 110893.
  • Mahmoodian, N., Thadesar, H., Sadeghi, M., Georgiades, M., Pech, M., & Hoeschen, C. (2022). Segmentation of Living and ablated Tumor parts in CT images Using ResLU-Net. Current Directions in Biomedical Engineering8(2), 49-52.
  • Sadeghi, M., Maldonado, I., Abele, N., Haybaeck, J., Boese, A., Poudel, P., & Friebe, M. (2019, July). Feedback-based self-improving CNN algorithm for breast cancer lymph node metastasis detection in real clinical environment. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)(pp. 7212-7215). IEEE.
  • Sadeghi, M., Boese, A., Maldonado, I., Friebe, M., Sauerhering, J., Schlosser, S., ... & Wehberg, K. (2019). Feasibility test of dynamic cooling for detection of small tumors in IR thermographic breast imaging. Current Directions in Biomedical Engineering5(1), 397-399.
  • Poudel, P., Illanes, A., Sadeghi, M., & Friebe, M. (2019, July). Patch based texture classification of thyroid ultrasound images using convolutional neural network. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)(pp. 5828-5831). IEEE.
  • "Instruments for Image Guided Procedures - IIGP. Review summaries for minimal invasive and image guided technologies and clinical procedures.", 04/2016; ISBN: 978-3-944722-37-5, DOI: 10.24352/UB.OVGU-2017-017


 

Teaching
  • See here