Sepand AliMadadSoltani
sepand.a.m.soltani@gmail.com | https://sepandsoltani.github.io
Education
Master 2 in Health Engineering: Medical Device Engineering Lyon, FrancePolytech Lyon, Claude Bernard University Lyon 1 2024-2025
- Concentration: Medical Image Processing
- GPA: 15.31/20
- Courses: Magnetic Resonance Imaging (MRI), Segmentation & Registration, Artificial Intelligence in Medical Imaging, Image Reconstruction & Inverse Problems
- €10,000 Excellence Scholarship awarded for excellent academic background
K.N. Toosi University of Technology 2018-2023
- Concentration: Biomedical Engineering
- GPA: 16.33/20
- Courses: Statistical Pattern Recognition, Signals & Systems, C Programming, Engineering Math, Engineering Probability
Research Experience
Master's Internship: Bayesian Inference of Image-Derived Input Function in Dynamic PET/MR Brain ImagingLyon, France
CERMEP Laboratory March 2025-August 2025
- Developed non-invasive alternative to arterial sampling for PET quantification in 59 patients
- Built an accurate and automatic carotid artery segmentation pipeline on TOF-MR angiography images
- Implemented Bayesian inference model using Markov Chain Monte Carlo (MCMC) for Partial Volume Correction
- Reduced quantification bias significantly compared to standard image-derived methods (MAPE 13% vs 24%)
- Validated method using Monte Carlo PET simulations and cross-site collaboration with Paris-Saclay </ul> Bachelor's Thesis: Interactive and Intelligent Tissue Boundary Segmentation Algorithm Tehran, Iran
- Built medical image analysis and visualization software in Python
- Implemented intelligent scissors algorithm for semi-automatic boundary detection on 2D image slices
- Integrated the algorithm into the app for fast tissue segmentation with minimal user input
- Incorporated complementary segmentation tools (polygon selection, thresholding, otsu filter)
- Programming: Python, C, C++, CMake, Bash
- Software and Tools: GNU/Linux, Git, FMRIB FSL, SPM, 3D Slicer, TPCCLIB
- Libraries: Tensorflow, PyTorch, NumPy, pandas, scikit-learn, Matplotlib, ITK, VTK, Qt
- Languages: English (fluent, TOEFL score:101/120), French (Intermediate), Persian (Native)
- Designed and developed a modern interface using the Qt Framework's QML language
- Built and optimized backend logic in C++ to handle large volumes of data efficiently
- Engineered a node-based workflow for composition of custom AI/ML medical image analysis pipeline in Python analysis
- Built a 3D visualization engine using VTK to render volumetric medical data
- Processed raw fMRI/MRI data from the ADNI database using FSL (motion correction, registration) to extract functional connectivity maps
- Evaluated RCNN and CNN models in Tensorflow for feature extraction to classify Alzheimer’s disease stages
- Identified critical limitations in using standard deep learning architectures for fMRI analysis
- Implemented brain extraction from structural reference MR image
- Implemented fMRI pre-processing including motion correction, slice timing correction, spatial smoothing, and co-registration
- Optimized the pipeline with parallel processing to accelerate computation on the ADNI dataset
Machine Vision & Medical Image Processing Laboratory (MVMIP), KNTU January-June 2023
Publications
Bayesian Image-Derived Input Function Estimation for [¹⁸F]DPA-714 PET: An Evaluation Study Submitted (Under Review) Chloé Teurquety, Sepand Alimadadsoltani, et al.
Submitted to The Neuroreceptor Mapping 2026 Conference , June 2026 Improved Noninvasive Quantification of PET Kinetics Using Bayesian Geometric Transfer Matrix (BGTM) Submitted (Under Review)
Inés Mérida, Sepand Alimadadsoltani, et al.
Submitted to The Neuroreceptor Mapping 2026 Conference , June 2026Skills
Work Experience
Sharif University Science & Technology Park Tehran, IranJunior C++ developer October 2023-July 2024
Medical Image Visualization Software (Freelance Project) July-September 2023
Projects
Deep Learning Analysis of Functional Connectivity Maps in Alzheimer's Disease Fall 2022-Winter 2023References
Dr. Nicolas Costes
Research Engineer
CERMEP Laboratory, Lyon, France
Email:nicolas.costes@cermep.fr
Phone: (+33) (0)4 27 85 62 51
Relationship: Master's thesis co-supervisor
Dr. Inés Mérida
Research Engineer
CERMEP Laboratory, Lyon, France
Email:ines.merida@cermep.fr
Phone: (+33) (0)4 27 85 62 52
Relationship: Master's thesis co-supervisor
Dr. Kevin Tse-Ve-Koon
Master's Program Director & Senior Lecturer
University of Claude Bernard Lyon 1
Email: kevin.tse-ve.koon@univ-lyon1.fr
Phone: (+33) (0)4 72 43 89 51
Relationship: Academic advisor and teacher