David Rügamer

Associate Professor

LMU Munich

Germany

Research Interests

Explore related searches

Professors in Germany Professors in Medical Imaging Medical Imaging professors in Germany

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

David Rügamer is an Associate Professor at LMU Munich, Germany. His research interests encompass medical image segmentation, pose regression in challenging environments, and handwriting recognition. He has recently contributed to advanced techniques in deep learning, robust regression methods, and atmospheric circulation classification.

Articles (9)

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2020

Collaborators (4)

Ralf Ludwig

University Professor

Ludwig-Maximilians-Universität München

GERMANY

View details

Michael Ingrisch

University Hospital, LMU Munich

GERMANY

View details

Nadja Klein

Technische Universität Dortmund

GERMANY

View details

Bernd Bischl

Professor

Ludwig-Maximilians-Universität München

GERMANY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

David Rügamer

Research Interests

Explore related searches

Contact this professor

About

Articles (9)

Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition

Fusing structure from motion and simulation-augmented pose regression from optical flow for challenging indoor environments

Mixture of experts distributional regression: implementation using robust estimation with adaptive first-order methods

Auxiliary Cross-Modal Representation Learning With Triplet Loss Functions for Online Handwriting Recognition

Semi-Structured Distributional Regression

A deep learning based classification of atmospheric circulation types over Europe: projection of future changes in a CMIP6 large ensemble

Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens

Selective inference for additive and linear mixed models

Inference for $$L_2$$-Boosting

Collaborators (4)

Ralf Ludwig

Michael Ingrisch

Nadja Klein

Bernd Bischl

Make your next move.