Maximilian Ernst Tschuchnig

33 papers Misc 1Journal 21Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End Registration. CAIP (2) Maximilian Ernst Tschuchnig, Lukas Lamminger, Philipp Steininger, Michael Gadermayr
2025	J	`jnl`	Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End Registration. CoRR Maximilian Ernst Tschuchnig, Lukas Lamminger, Philipp Steininger, Michael Gadermayr
2025	J	`jnl`	Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment. CoRR Maximilian Ernst Tschuchnig, Lukas Lamminger, Philipp Steininger, Michael Gadermayr
2025	—	`conf`	Hybrid Deep Learning and Handcrafted Feature Fusion for Mammographic Breast Cancer Classification. IPTA Maximilian Ernst Tschuchnig, Michael Gadermayr, Khalifa Djemal
2025	J	`jnl`	Hybrid Deep Learning and Handcrafted Feature Fusion for Mammographic Breast Cancer Classification. CoRR Maximilian Ernst Tschuchnig, Michael Gadermayr, Khalifa Djemal
2025	—	`conf`	Improving Segmentation by Combining Preoperative CT and Intraoperative CBCT using Synthetic Data. Bildverarbeitung für die Medizin Maximilian Ernst Tschuchnig, Philipp Steininger, Michael Gadermayr
2024	—	`conf`	CBCTLiTS: A Synthetic, Paired CBCT/CT Dataset For Segmentation And Style Transfer. VCBM Maximilian Ernst Tschuchnig, Philipp Steininger, Michael Gadermayr
2024	J	`jnl`	CBCTLiTS: A Synthetic, Paired CBCT/CT Dataset For Segmentation And Style Transfer. CoRR Maximilian Ernst Tschuchnig, Philipp Steininger, Michael Gadermayr
2024	J	`jnl`	Initial Study On Improving Segmentation By Combining Preoperative CT And Intraoperative CBCT Using Synthetic Data. CoRR Maximilian Ernst Tschuchnig, Philipp Steininger, Michael Gadermayr
2024	—	`conf`	Multi-task Learning to Improve Semantic Segmentation of CBCT Scans using Image Reconstruction. Bildverarbeitung für die Medizin Maximilian Ernst Tschuchnig, Julia Coste-Marin, Philipp Steininger, Michael Gadermayr
2024	J	`jnl`	Multimodal Learning With Intraoperative CBCT & Variably Aligned Preoperative CT Data To Improve Segmentation. CoRR Maximilian Ernst Tschuchnig, Philipp Steininger, Michael Gadermayr
2024	J	`jnl`	Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potential. Comput. Medical Imaging Graph. Michael Gadermayr, Maximilian Ernst Tschuchnig
2023	J	`jnl`	MixUp-MIL: A Study on Linear & Multilinear Interpolation-Based Data Augmentation for Whole Slide Image Classification. CoRR Michael Gadermayr, Lukas Koller, Maximilian Ernst Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair
2023	—	`conf`	MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis. MICCAI (6) Michael Gadermayr, Lukas Koller, Maximilian Ernst Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair
2023	J	`jnl`	Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction. CoRR Maximilian Ernst Tschuchnig, Julia Coste-Marin, Philipp Steininger, Michael Gadermayr
2022	—	`conf`	Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification. IPTA Maximilian Ernst Tschuchnig, Philipp Grubmüller, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair, Michael Gadermayr
2022	J	`jnl`	Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification. CoRR Maximilian Ernst Tschuchnig, Philipp Grubmüller, Lea Maria Stangassinger, Christina Kreutzer, Sébastien Couillard-Després, Gertie Janneke Oostingh, Anton Hittmair, Michael Gadermayr
2022	J	`jnl`	MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis. CoRR Michael Gadermayr, Lukas Koller, Maximilian Ernst Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair
2022	J	`jnl`	Multiple Instance Learning for Digital Pathology: A Review on the State-of-the-Art, Limitations & Future Potential. CoRR Michael Gadermayr, Maximilian Ernst Tschuchnig
2021	—	`conf`	An Asymmetric Cycle-Consistency Loss For Dealing With Many-To-One Mappings In Image Translation: A Study On Thigh Mr Scans. ISBI Michael Gadermayr, Maximilian Ernst Tschuchnig, Laxmi Gupta, Nils Krämer, Daniel Truhn, Dorit Merhof, Burkhard Gess
2021	J	`jnl`	Anomaly Detection in Medical Imaging - A Mini Review. CoRR Maximilian Ernst Tschuchnig, Michael Gadermayr
2021	—	`conf`	Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks. SASHIMI@MICCAI Michael Gadermayr, Maximilian Ernst Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair
2021	J	`jnl`	Immutable and Democratic Data in permissionless Peer-to-Peer Systems. CoRR Maximilian Ernst Tschuchnig, Dejan Radovanovic, Eduard Hirsch, Anna-Maria Oberluggauer, Georg Schäfer
2021	J	`jnl`	Quantification of anomalies in rats' spinal cords using autoencoders. Comput. Biol. Medicine Maximilian Ernst Tschuchnig, Dominic Zillner, Pasquale Romanelli, David Hercher, Patrick Heimel, Gertie Janneke Oostingh, Sebastien Couillard-Despres, Michael Gadermayr
2021	J	`jnl`	Sequential IoT Data Augmentation using Generative Adversarial Networks. CoRR Maximilian Ernst Tschuchnig, Cornelia Ferner, Stefan Wegenkittl
2020	—	`conf`	A Commons-compatible Implementation of the Sharing Economy: Blockchain-based Open Source Mediation. FEMIB Petra Unterberger, Manfred Mayr, Maximilian Ernst Tschuchnig, Peter Haber
2020	J	`jnl`	An Asymetric Cycle-Consistency Loss for Dealing with Many-to-One Mappings in Image Translation: A Study on Thigh MR Scans. CoRR Michael Gadermayr, Maximilian Ernst Tschuchnig, Dorit Merhof, Nils Krämer, Daniel Truhn, Burkhard Gess
2020	J	`jnl`	Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks. CoRR Michael Gadermayr, Maximilian Ernst Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair
2020	J	`jnl`	Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential. CoRR Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh, Michael Gadermayr
2020	J	`jnl`	Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential. Patterns Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh, Michael Gadermayr
2020	J	`jnl`	Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential. Patterns Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh, Michael Gadermayr
2020	Misc	`conf`	Sequential IoT Data Augmentation Using Generative Adversarial Networks. ICASSP Maximilian Ernst Tschuchnig, Cornelia Ferner, Stefan Wegenkittl
2019	—	`conf`	Immutable and Democratic Data in Permissionless Peer-to-Peer Systems. SDS Maximilian Ernst Tschuchnig, Dejan Radovanovic, Eduard Hirsch, Anna-Maria Oberluggauer, Georg Schäfer