Philip Matthias Winter

According to our database, Philip Matthias Winter authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multiscale Attention-Based Instance Segmentation for Measuring Crystals With Large Size Variation.

Theresa Neubauer, Astrid Berg, Maria Wimmer, Dimitrios Lenis, David Major, Philip Matthias Winter, Gaia Romana De Paolis, Johannes Novotny, Daniel Lüftner, Katja Reinharter, Katja Bühler

IEEE Trans. Instrum. Meas., 2024

PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks.

Philip Matthias Winter, Maria Wimmer, David Major, Dimitrios Lenis, Astrid Berg, Theresa Neubauer, Gaia Romana De Paolis, Johannes Novotny, Sophia Ulonska, Katja Bühler

CoRR, 2024

Multi-scale attention-based instance segmentation for measuring crystals with large size variation.

Theresa Neubauer, Astrid Berg, Maria Wimmer, Dimitrios Lenis, David Major, Philip Matthias Winter, Gaia Romana De Paolis, Johannes Novotny, Daniel Lüftner, Katja Reinharter, Katja Bühler

CoRR, 2024

Fast Medical Shape Reconstruction via Meta-learned Implicit Neural Representations.

Gaia Romana De Paolis, Dimitrios Lenis, Johannes Novotny, Maria Wimmer, Astrid Berg, Theresa Neubauer, Philip Matthias Winter, David Major, Ariharasudhan Muthusami, Gerald Schröcker, Martin Mienkina, Katja Bühler

Proceedings of the Shape in Medical Imaging - International Workshop, 2024

2022

Anomaly Detection using Generative Models and Sum-Product Networks in Mammography Scans.

Marc Dietrichstein, David Major, Maria Wimmer, Dimitrios Lenis, Philip Winter, Astrid Berg, Theresa Neubauer, Katja Bühler

CoRR, 2022

Anomaly Detection Using Generative Models and Sum-Product Networks in Mammography Scans.

Marc Dietrichstein, David Major, Martin Trapp, Maria Wimmer, Dimitrios Lenis, Philip Winter, Astrid Berg, Theresa Neubauer, Katja Bühler

Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

2021

Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications.

Philip Matthias Winter, Sebastian Eder, Johannes Weissenböck, Christoph Schwald, Thomas Doms, Tom Vogt, Sepp Hochreiter, Bernhard Nessler

CoRR, 2021