Maximilian Ernst Tschuchnig

Orcid: 0000-0002-1441-4752

According to our database1, Maximilian Ernst Tschuchnig authored at least 18 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Improving Segmentation by Combining Preoperative CT and Intraoperative CBCT using Synthetic Data.
Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

2024
Initial Study On Improving Segmentation By Combining Preoperative CT And Intraoperative CBCT Using Synthetic Data.
CoRR, 2024

Multimodal Learning With Intraoperative CBCT & Variably Aligned Preoperative CT Data To Improve Segmentation.
CoRR, 2024

Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potential.
Comput. Medical Imaging Graph., 2024

CBCTLiTS: A Synthetic, Paired CBCT/CT Dataset For Segmentation And Style Transfer.
Proceedings of the Eurographics Workshop on Visual Computing for Biology and Medicine, 2024

Multi-task Learning to Improve Semantic Segmentation of CBCT Scans using Image Reconstruction.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023
MixUp-MIL: A Study on Linear & Multilinear Interpolation-Based Data Augmentation for Whole Slide Image Classification.
CoRR, 2023

MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification.
Proceedings of the Eleventh International Conference on Image Processing Theory, 2022

2021
Anomaly Detection in Medical Imaging - A Mini Review.
CoRR, 2021

Quantification of anomalies in rats' spinal cords using autoencoders.
Comput. Biol. Medicine, 2021

Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2021

An Asymmetric Cycle-Consistency Loss For Dealing With Many-To-One Mappings In Image Translation: A Study On Thigh Mr Scans.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential.
Patterns, 2020

An Asymetric Cycle-Consistency Loss for Dealing with Many-to-One Mappings in Image Translation: A Study on Thigh MR Scans.
CoRR, 2020

Sequential IoT Data Augmentation Using Generative Adversarial Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Commons-compatible Implementation of the Sharing Economy: Blockchain-based Open Source Mediation.
Proceedings of the 2nd International Conference on Finance, 2020

2019
Immutable and Democratic Data in Permissionless Peer-to-Peer Systems.
Proceedings of the 6th International Conference on Software Defined Systems, 2019


  Loading...