academic

Teaching, conferences, talks, student supervision, and miscellaneous academic activities.

conferences

I have presented work at international conferences:

  • ESGAR 2023 in Valencia, Spain: Automatic assessment of vascular involvement on computed tomography in patients with localized pancreatic cancer using artificial intelligence (Oral).
  • ESGAR 2023 in Valencia, Spain: Fully automatic prediction of postoperative pancreatic fistula from pre-operative CT cans of patients undergoing a pancreatoduodenectomy using artificial intelligenece (Poster).
  • ESGAR 2023 in Valencia, Spain: The preoperative fistula risk score: CT-based radiomics to preoperatively predict a postoperative pancreatic fistula in patients undergoing a pancreatoduodenectomy (Oral).
  • AAAI Summer Symposium 2023 in Singapore: Improving the reliability of medical diagnostic models through rule-based decision deferral (Oral).
  • ECR 2024 in Vienna, Austria: Advancing total tumour volume estimation in colorectal liver metastases: development and evaluation of a self-learning auto-segmentation model (Oral).
  • ESGAR 2024 in Gothenburg, Sweden: Refining the classroom: The self-learning professor model for optimized segmetnation of locallz advanced pancreatic ductal adenocarcinoma (Oral).
  • ESGAR 2024 in Gothenburg, Sweden: Development and external validation of a self-learning auto-segmentation model for colorectal cancer liver metastases assessment (Oral).

talks and presentations

I have given several talks:

  • Towards a mental health continuum: Discovering phase transitions using neuroimaging data (July 2021, Master’s Thesis Final Presentation, Utrecht)
  • Privacy for free: How does dataset condensation help privacy (May 2022, Machine Learning Reading Group, Amsterdam)
  • CT-based learning and artificial intelligence in radiological images using computer vision in neoadjuvantly treated pancreatic tumors (May 2023, RNG day, Amsterdam)
  • Exploring AI in medical imaging: AI-driven analysis and clinical integration (September 2023, Toronto Metropolitan University, Toronto)
  • Towards monosemanticity - decomposing LLMs with dictionary learning (October 2023, Machine Learning Reading Group, Amsterdam)
  • Artificial intelligence for assessing vascular involvement and tumor resectability on CT in patients with pancreaticductal adenocarcinoma (December 2023, HPBeter Symposium, Amsterdam).

student supervision

I have supervised and co-supervised several Bachelor’s and Master’s students in their thesis projects and research:

student name project title program my role period
Marius Strampel Tracking Colorectal Liver Metastesis in Contrast-Enhanced CT scan MSc Artificial Intelligence Daily Supervisor with Leonard Bereska November 2023 - July 2024
Lema Majid ViT Integration for PDAC Resectability Prediction BSc Biomedical Sciences Daily Supervisor January - July 2024
Megan de Klein Evaluating the Efficiency of the implementation of an Auto-encoder in the U-Net Model for Enhanced Multi-Center Pancreatic Ductal Adenocarcinoma Segmentation BSc Medical Natural Sciences Daily Supervisor March - July 2024
Alina Guzu AI-Assisted Body Composition Analysis in Abdominal CT Scans for Enhanced Patient Management MSc Medical Imaging Daily Supervisor September 2023 - March 2024
Anya Nikiforova Interpretable Tabular Deep Learning in PDAC Resectability Prediction MSc Data Science Daily Supervisor with Leonard Bereska March - June 2024
Muhammad Amir Bin Mohd Azman Investigating the Application of A Transformer-Based Model in Predicting Pancreatic Ductal Adenocarcinoma Resectability MSc Data Science Daily Supervisor with Leonard Bereska March - June 2024
Mattia Cintioli Deep Learning Radiomic Features for Survival Estimation for Patients with Pancreatic Ductal Adenocarcinoma MSc Data Science Daily Supervisor with Leonard Bereska March - June 2023
Matej Lončarić Predicting Post-Operative Pancreatic Fistula in Patients with Intraductal Papillary Mucinous Neoplasm of the Pancreas on Magnetic Resonance Imaging Using Machine Learning Models MSc Data Science Daily Supervisor with Leonard Bereska March - June 2023
Raiz Fatehmahomed Enhancing VasQNet: Implementing a Centerline Approach for Assessment of Vascular Involvement in Pancreatic Ductal Adenocarcinoma Resectability MSc Information Systems Daily Supervisor with Leonard Bereska March - June 2023
Selina Palić Implementing an extended Self-Learning-Based AI model for Segmenting Locally Advanced Pancreatic Ductal Adenocarcinoma MSc Data Science Daily Supervisor with Leonard Bereska March - June 2023
Luuk Wagenaar Development of an auto-segmentation deep learning model for patients with colorectal liver metastases MSc Data Science Daily Supervisor with Leonard Bereska March - June 2023
Danial Iqbal Advancing IPMN Classification: A Comprehensive Study on Deep Learning Segmentation of Intraductal Papillary Mucinous Neoplasm on MRI MSc Data Science Daily Supervisor with Leonard Bereska March - June 2023
Gidon Quint Transforming Venous and Arterial Stage Liver CT Scans Bi-Directionally: A Cycle-Consistent Transformer Approach BSc Biomedical Sciences Daily Supervisor with Michiel Zeeuw January - June 2023
Fleur van Ruyven Using machine learning models to predict histopathological outcomes in resected pancreatic cancer after neoadjuvant therapy MSc Data Science Daily Supervisor with Inez Verpalen March 2022 - June 2022
Krishnanand Vasudevan Impact of Integrating Surrounding Anatomical Structures on the Performance of Pancreatic Ductal Adenocarcinoma nnUnet segmentation networks MSc Data Science Daily Supervisor with Inez Verpalen March 2022 - June 2022
Aukje Terpstra Quantifying the degree of vascular encasement of pancreaticductal adenocarcinomas on computed tomography Scans MSc Data Science Daily Supervisor with Inez Verpalen March 2022 - June 2022

Are you a student passionate about Computer Vision, Medical Imaging, Abdominal Oncology, or related fields? If so, I welcome you to contact me to explore potential mentorship or collaborative research opportunities.

teaching
  • [Pancreas Prime Time] at the Verona University Hospital, Italy: Exploring AI in medical imaging: AI-driven analysis and clinical integration (Guest lecturer).
  • [Machine Learning for Human Vision and Language] at Utrecht University, The Netherlands (Teaching Assistant).

summer schools and courses

I have participated in several summer schools and workshops to enhance my knowledge in AI: