About me

Modern medicine has made incredible progress in the last 100 years. The development of technology to support medical personnel has contributed to this in particular. It is my wish to do research on data-driven medical technology of tomorrow and to support modern medicine with my contribution.

I am a senior research scientist at ImFusion GmbH in Munich working on machine learning algorithms for medical imaging. Before that, I worked at Philips Research Hamburg on machine learning for clinical applications in CT and MRI. After my PhD, I was a postdoctoral researcher at the Institute of Medical Technology and Intelligent Systems at Hamburg University of Technology and my main research interest was Bayesian inference for uncertainty-aware medical image analysis with deep learning. During my PhD studies at Leibniz University Hannover, I have been working on calibration methods to obtain well-calibrated uncertainties from deep Bayesian models in medical imaging applications. I have experience in working with many modalities, including X-ray, CT, MRI, ultrasound, OCT, and (stereo) endoscopy. In my sparse free time, I develop apps for macOS and iOS.

Experiences

Senior Research Scientist

2023 – present
ImFusion GmbH

Machine learning for medical imaging.

Research Scientist

2022 – 2023
Philips Research Hamburg

AI in clinical applications.

PostDoc

2021 – 2022
Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology

Deep learning and robotics in medical imaging applications.

Team Lead

2019 – 2021
Institute of Mechatronic Systems, Leibniz Universität Hannover

Medical Technology and Image Processing

PhD Student

2015 – 2020
Institute of Mechatronic Systems, Leibniz Universität Hannover
  • Thesis title Well-Calibrated Predictive Uncertainty in Medical Imaging with Deep Learning

Master of Science

2012 – 2015
Leibniz Universität Hannover

Mechanical engineering with focus on robotics and medical image processing

  • Final grade 1.2 (with honours, GPA equiv. 3.8/4.0)
  • Master’s thesis Three-dimensional tracking of soft tissue deformations for incision planning in lasery surgery

Bachelor of Science

2009 – 2012
Leibniz Universität Hannover

Mechanical engineering

  • Bachelor’s thesis Registration of an operating table using the kinect sensor system

Publications

Posterior temperature optimized Bayesian models for inverse problems in medical imaging
Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer, Sandy Engelhardt
Medical Image Analysis (2022)
Robotic tissue sampling for safe post-mortem biopsy in infectious corpses
Maximilian Neidhardt, Stefan Gerlach, Robin Mieling, Max-Heinrich Laves, ..., Benjamin Ondruschka, Alexander Schlaefer
IEEE Transactions on Medical Robotics and Bionics (2022)
Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging
Max-Heinrich Laves, Sontje Ihler, Jacob F. Fast, Lüder A. Kahrs, Tobias Ortmaier
Journal of Machine Learning for Biomedical Imaging (2021)
Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior
Max-Heinrich Laves, Malte Tölle, Tobias Ortmaier
UNSURE Workshop at MICCAI (best paper award) (2020)
Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking
Sontje Ihler, Felix Kuhnke, Max-Heinrich Laves, Tobias Ortmaier
MICCAI (2020)
Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning
Max-Heinrich Laves, Sontje Ihler, Jacob F. Fast, Lüder A. Kahrs, Tobias Ortmaier
Medical Imaging with Deep Learning (2020)
Well-Calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference
Max-Heinrich Laves, Sontje Ihler, Karl-Philipp Kortmann, Tobias Ortmaier
4th workshop on Bayesian Deep Learning (NeurIPS) (2019)
A Dataset of Laryngeal Endoscopic Images With Comparative Study on Convolution Neural Network Based Semantic Segmentation
Max-Heinrich Laves, Jens Bicker, Lüder A. Kahrs, Tobias Ortmaier
International Journal of Computer Assisted Radiology and Surgery (2019)
Volumetric 3D Stitching of Optical Coherence Tomography Volumes
Max-Heinrich Laves, Lüder A. Kahrs, Tobias Ortmaier
Current Directions in Biomedical Engineering (2018)
Feature Tracking for Automated Volume of Interest Stabilization on 4D-OCT Images
Max-Heinrich Laves, Andreas Schoob, Lüder A. Kahrs, Tom Pfeiffer, Robert Huber, Tobias Ortmaier
SPIE Medical Imaging (2017)
Soft Tissue Motion Tracking With Application to Tablet-based Incision Planning in Laser Surgery
Andreas Schoob, Max-Heinrich Laves, Lüder A. Kahrs, Tobias Ortmaier
International Journal of Computer Assisted Radiology and Surgery (2016)

Skills & Proficiency

Python

PyTorch

C/C++

Swift

Julia

TensorFlow