Sayeh Gholipour Picha

Sayeh Gholipour Picha

Postdoctoral Researcher at Oncology AI

Gustave Roussy

Centrale Supelèc

Biography

I am a postdoctoral researcher in Oncology AI, working on AI methods for cancer understanding and prognosis. I completed my PhD in computer vision at GIPSA-lab, where I focused on making deep learning models more interpretable in medical imaging. My background is in signal and image processing from Grenoble INP, where I worked on generative models for facial expression recognition. Alongside my academic work, I spent two years in industry applying image processing techniques to real-world problems. I am particularly interested in bridging advanced AI methods with practical clinical applications.

Download my resumé.

Interests
  • Explainable AI
  • Generative AI
  • Medical Computer Vision
Education
  • PostDoc in Oncology AI and Rare Cancer Prognosis, 2026 - present

    Paris Saclay, Centrale Supelec university and Gustave Roussy Cancer Hospital

  • PhD in Medical Explainable AI and Computer Vision, 2022 - 2025

    Grenoble INP University in France

  • MSc in Signal and Image Processing, 2020 - 2022

    Grenoble INP University in France

  • BSc in Electrical engineering with the minor in Telecommunication, 2012 - 2016

    Shiraz University in Iran

Skills

Python & Scientific Computing
pytorch
Deep Learning (PyTorch)
cv
Medical Computer Vision
xray
Computational Pathology
llm
Vision-Language Models
brain
Explainable AI
cuda
GPU & Distributed Training
Linux & Research Infrastructure

Experience

 
 
 
 
 
GIPSA-Lab
PhD Researcher
Nov 2022 – Nov 2025 France
Designing multimodal models that combine vision and language to assess interpretable radiology reports from chest X-rays.
 
 
 
 
 
GIPSA-Lab
Research Intern
Feb 2022 – Jul 2022 France
Improving the performance of a CNN model with generative data.
 
 
 
 
 
Farabina Smart LLC
R&D Member
Jan 2018 – Jun 2020 Iran
Building a device based on Thermal Camera.
 
 
 
 
 
iRoad Electronic
Data Analyst
iRoad Electronic
Mar 2017 – Dec 2017 Iran
Traffic recorders in suburban areas.

Accomplish­ments

Best Poster Award at the BIOINFORMATICS Conference in Rome, Italy
See certificate
AutoML Fall School
Bumblekit Machine Learning Summer School in Healthcare and Biosciences
Giving a speech at GDR IASIS Face, gestures, actions, and Behavior seminar
Coursera
Facial Expression Recognition with Keras
See certificate
Programming Fundamentals.
See certificate
Machine Learning
See certificate

Publications

(2026). Trust but verify: Image-aware evaluation of radiology report generators. In MLWA.

PDF Cite Code DOI

(2024). Semantic Textual Similarity Assessment in Chest X-ray Reports Using a Domain-Specific Cosine-Based Metric. In BIOINFORMATICS.

PDF Cite DOI

(2023). How far Generated Data Can Impact Neural Networks Performance?. In VISAPP.

Cite Project DOI