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Antoine Merlet
Meet
Antoine Merlet

Expertise:

Neural Network | Image Processing | Computer Vision

Pronouns
he/him
Fun Fact
Sea anemones are animals | Assumption: Animals can be petted | Lesson: Days of pain. 10/10 would not recommend.
Courses
  • AIC-303: Planning and Search Strategies

Since childhood, I’ve been captivated by the world of IT—building computers, immersing myself in video games, and navigating the ever-evolving landscape of internet culture. What fascinated me most was the internet’s ability to connect people across the globe, allowing us to share ideas and bridge distances. But as a French teenager, there was one hurdle: my English. Recognizing its importance, I made mastering the language a priority during high school.

When it came time for university, my path wasn’t immediately clear, but my passion for technology naturally led me to pursue Computer Science. It was during an internship in Thailand, working on image processing in a research lab, that everything clicked. The experience was a perfect fit—endless learning, a vibrant multicultural environment, and IT challenges that fueled my curiosity. I loved it so much, I extended my stay for another year. That pivotal moment set the course for my academic journey: an international Bachelor’s in Computer Vision, an ERASMUS Master’s in AI for medical applications, and ultimately, a PhD in Positron Emission Tomography imaging.

Today, as an Assistant Professor at CMKL University, I am thrilled to delve deeper into the intersection of technology and medicine while inspiring the next generation of innovators. As an educator, I believe true progress is born from overcoming challenges. Every student’s learning journey is unique, and I strive to guide them in transforming obstacles into opportunities for growth.

Mistakes, often seen as failures, are actually powerful tools for learning.

I encourage my students to adopt the mindset of a neural network: embrace errors, backtrack to understand them, and emerge stronger with each iteration. At CMKL, I work to create an environment where adversity is not a setback but a catalyst for creativity, resilience, and innovation. Together, we aim to redefine learning and unlock new possibilities in a world driven by progress.

Education

PhD Thesis:

  • “Monte Carlo simulation of the GE Discovery MI 4-Ring PET/CT scanner: from validation of NEMA performance to reconstruction of simulated data”
  • Director: Pr. Alexandre Cochet, PU-PH, CGFL/ICMUB
  • Co-Director: Dr. Jean-Marc Vrigneaud, Med Phys, CGFL/ICMUB
  • Supervisor: Dr. Benoît Presles, Computer Scientist, ICMUB
  • Collaborator: General Electric HealthCare

Masters:

  • Erasmus Mundus Joint Master Degree in Medical Imaging and Applications (MAIA). Diploma from UdG (Spain), UB (France) and UNICAS (Italy). 2019

Bachelor:

  • BSc in Computer Vision (BsCV), France. 2017
Current Research
Selected Publications