Immutable and Democratic Data in Permissionless Peer-to-Peer Systems. - Maximilian Ernst Tschuchnig; Dejan Radovanovic; Eduard Hirsch; Anna-Maria Oberluggauer; Georg Schäfer (SDS, 2019)

A Commons-compatible Implementation of the Sharing Economy: Blockchain-based Open Source Mediation. - Petra Unterberger; Manfred Mayr; Maximilian Ernst Tschuchnig; Peter Haber (FEMIB, 2020)

Sequential IoT Data Augmentation Using Generative Adversarial Networks. - Maximilian Ernst Tschuchnig; Cornelia Ferner; Stefan Wegenkittl (ICASSP, 2020)

An Asymetric Cycle-Consistency Loss for Dealing with Many-to-One Mappings in Image Translation: A Study on Thigh MR Scans. - Michael Gadermayr; Maximilian Ernst Tschuchnig; Dorit Merhof; Nils Krämer; Daniel Truhn; Burkhard Gess (CoRR, 2020)

Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential. - Maximilian Ernst Tschuchnig; Gertie Janneke Oostingh; Michael Gadermayr (Patterns, 2020)

An Asymmetric Cycle-Consistency Loss For Dealing With Many-To-One Mappings In Image Translation: A Study On Thigh Mr Scans. - Michael Gadermayr; Maximilian Ernst Tschuchnig; Laxmi Gupta; Nils Krämer; Daniel Truhn; Dorit Merhof; Burkhard Gess (ISBI, 2021)

Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks. - Michael Gadermayr; Maximilian Ernst Tschuchnig; Lea Maria Stangassinger; Christina Kreutzer; Sebastien Couillard-Despres; Gertie Janneke Oostingh; Anton Hittmair (SASHIMI@MICCAI, 2021)

Quantification of anomalies in rats' spinal cords using autoencoders. - Maximilian Ernst Tschuchnig; Dominic Zillner; Pasquale Romanelli; David Hercher; Patrick Heimel; Gertie Janneke Oostingh; Sebastien Couillard-Despres; Michael Gadermayr (Comput. Biol. Medicine, 2021)

Anomaly Detection in Medical Imaging - A Mini Review. - Maximilian Ernst Tschuchnig; Michael Gadermayr (CoRR, 2021)

Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification. - Maximilian Ernst Tschuchnig; Philipp Grubmüller; Lea Maria Stangassinger; Christina Kreutzer; Sebastien Couillard-Despres; Gertie Janneke Oostingh; Anton Hittmair; Michael Gadermayr (IPTA, 2022)

MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis. - Michael Gadermayr; Lukas Koller; Maximilian Ernst Tschuchnig; Lea Maria Stangassinger; Christina Kreutzer; Sebastien Couillard-Despres; Gertie Janneke Oostingh; Anton Hittmair (MICCAI (6), 2023)

MixUp-MIL: A Study on Linear & Multilinear Interpolation-Based Data Augmentation for Whole Slide Image Classification. - Michael Gadermayr; Lukas Koller; Maximilian Ernst Tschuchnig; Lea Maria Stangassinger; Christina Kreutzer; Sebastien Couillard-Despres; Gertie Janneke Oostingh; Anton Hittmair (CoRR, 2023)

Multi-task Learning to Improve Semantic Segmentation of CBCT Scans using Image Reconstruction. - Maximilian Ernst Tschuchnig; Julia Coste-Marin; Philipp Steininger; Michael Gadermayr (Bildverarbeitung für die Medizin, 2024)

CBCTLiTS: A Synthetic, Paired CBCT/CT Dataset For Segmentation And Style Transfer. - Maximilian Ernst Tschuchnig; Philipp Steininger; Michael Gadermayr (VCBM, 2024)

Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potential. - Michael Gadermayr; Maximilian Ernst Tschuchnig (Comput. Medical Imaging Graph., 2024)

Multimodal Learning With Intraoperative CBCT & Variably Aligned Preoperative CT Data To Improve Segmentation. - Maximilian Ernst Tschuchnig; Philipp Steininger; Michael Gadermayr (CoRR, 2024)

Initial Study On Improving Segmentation By Combining Preoperative CT And Intraoperative CBCT Using Synthetic Data. - Maximilian Ernst Tschuchnig; Philipp Steininger; Michael Gadermayr (CoRR, 2024)

Improving Segmentation by Combining Preoperative CT and Intraoperative CBCT using Synthetic Data. - Maximilian Ernst Tschuchnig; Philipp Steininger; Michael Gadermayr (Bildverarbeitung für die Medizin, 2025)

Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment. - Maximilian Ernst Tschuchnig; Lukas Lamminger; Philipp Steininger; Michael Gadermayr (CoRR, 2025)

Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End Registration. - Maximilian Ernst Tschuchnig; Lukas Lamminger; Philipp Steininger; Michael Gadermayr (CoRR, 2025)

Hybrid Deep Learning and Handcrafted Feature Fusion for Mammographic Breast Cancer Classification. - Maximilian Ernst Tschuchnig; Michael Gadermayr; Khalifa Djemal (CoRR, 2025)