Michiel Kallenberg

Postdoc, Artificial Intelligence, Wageningen University

Joined

May 2023

Names

Michiel Kallenberg (Preferred)

Emails

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Postdoc

Artificial Intelligence, Wageningen University (wageningenuniversity.nl)

2022 – Present

PhD student

Radiology, Radboud University Medical Center (radboudumc.nl)

2006 – 2012

Advisors, Relations & Conflicts

Postdoc Advisor

Ioannis Athanasiadis

2022 – Present

Expertise

Reinforcement learning

2022 – Present

Digital twins

2022 – Present

Agriculture

2022 – Present

Publications

To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning
Hilmy Baja, Michiel Kallenberg, Ioannis N. Athanasiadis
- AAAI 2025
- Readers: Everyone
CY-Bench: A comprehensive benchmark dataset for subnational crop yield forecasting
Dilli Paudel, Hilmy Baja, Ron van Bree, Michiel Kallenberg, Stella Ofori-Ampofo, Aike Potze, Pratishtha Poudel, Abdelrahman Saleh, Weston Anderson, Malte von Bloh, Andres Castellano, Oumnia Ennaji, Raed Hamed, Rahel Laudien, Donghoon Lee, Inti Luna, Dainius Masiliūnas, Michele Meroni, Janet Mumo Mutuku, Siyabusa Mkuhlani et al. (13 additional authors not shown)
- Submitted to NeurIPS 2024 Track Datasets and Benchmarks
- Readers: Everyone
Integrating processed-based models and machine learning for crop yield prediction
Michiel Kallenberg, Bernardo Maestrini, Ron van Bree, Paul Ravensbergen, Christos Pylianidis, Frits van Evert, Ioannis N. Athanasiadis
- SynS & ML @ ICML2023
- Readers: Everyone
A deep learning method for volumetric breast density estimation from processed full field digital mammograms
Doiriel Vanegas C., Mahlet A. Birhanu, Nico Karssemeijer, Albert Gubern-Mérida, Michiel Kallenberg
- Computer-Aided Diagnosis 2019
- Readers: Everyone
A deep learning method for volumetric breast density estimation from processed full field digital mammograms
Doiriel Vanegas C., Mahlet A. Birhanu, Nico Karssemeijer, Albert Gubern-Mérida, Michiel Kallenberg
- Published: 01 Jan 2019, Last Modified: 24 Jun 2023
- Medical Imaging: Computer-Aided Diagnosis 2019
- Readers: Everyone
Characterization of Errors in Deep Learning-Based Brain MRI Segmentation
Akshay Pai, Yuan-Ching Teng, Joseph Blair, Michiel Kallenberg, Erik B. Dam, Stefan Sommer, Christian Igel, Mads Nielsen
- 2017 (modified: 05 Feb 2024)
- Deep Learning for Medical Image Analysis 2017
- Readers: Everyone
Learning Density Independent Texture Features
Michiel Kallenberg, Mads Nielsen, Katharina Holland, Nico Karssemeijer, Christian Igel, Martin Lillholm
- 2016 (modified: 24 Jun 2023)
- Digital Mammography / IWDM 2016
- Readers: Everyone
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring
Michiel Kallenberg, Kersten Petersen, Mads Nielsen, Andrew Y. Ng, Pengfei Diao, Christian Igel, Celine M. Vachon, Katharina Holland, Rikke Rass Winkel, Nico Karssemeijer, Martin Lillholm
- 2016 (modified: 24 Jun 2023)
- IEEE Trans. Medical Imaging 2016
- Readers: Everyone
Breast Segmentation and Density Estimation in Breast MRI: A Fully Automatic Framework
Albert Gubern-Mérida, Michiel Kallenberg, Ritse Mann, Robert Marti, Nico Karssemeijer
- Published: 01 Jan 2015, Last Modified: 24 Jun 2023
- IEEE J. Biomed. Health Informatics 2015
- Readers: Everyone

View all 25 publications

Co-Authors

View all 69 co-authors