Georgios Kaissis - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 60 from 60

2025

2024

Federated learning is not a cure-all for data ethicsMarieke Ar Bak, Vince I. Madai, Leo Anthony Celi, Georgios Kaissis, Ronald Cornet, Menno Maris, Daniel Rueckert, Alena Buyx, Stuart McLennan. natmi, 6(4):370-372, 2024. [doi]

On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion ModelsDeniz Daum, Richard Osuala, Anneliese Riess, Georgios Kaissis, Julia A. Schnabel, Maxime Di Folco. miccai 2025: 139-149 [doi]

Fair and Private CT Contrast Agent DetectionPhilipp Kaess, Alexander Ziller, Lea Mantz, Daniel Rueckert, Florian J. Fintelmann, Georgios Kaissis. miccai 2025: 34-45 [doi]

Beyond the Calibration Point: Mechanism Comparison in Differential PrivacyGeorgios Kaissis, Stefan Kolek, Borja Balle, Jamie Hayes, Daniel Rueckert. icml 2024: [doi]

Attack-Aware Noise Calibration for Differential PrivacyBogdan Kulynych, Juan Felipe Gómez, Georgios Kaissis, Flávio P. Calmon, Carmela Troncoso. nips 2024: [doi]

Unsupervised Pathology Detection: A Deep Dive Into the State of the ArtIoannis Lagogiannis, Felix Meissen, Georgios Kaissis, Daniel Rueckert. tmi, 43(1):241-252, January 2024. [doi]

Differentially Private Graph Neural Networks for Medical Population Graphs and The Impact of The Graph StructureTamara T. Mueller, Maulik Chevli, Ameya Daigavane, Daniel Rueckert, Georgios Kaissis. isbi 2024: 1-5 [doi]

Differentially Private Guarantees for Analytics and Machine Learning on Graphs: A Survey of ResultsTamara T. Mueller, Dmitrii Usynin, Johannes C. Paetzold, Rickmer Braren, Daniel Rueckert, Georgios Kaissis. jpc, 14(1), 2024. [doi]

A Survey on Graph Construction for Geometric Deep Learning in Medicine: Methods and RecommendationsTamara T. Mueller, Sophie Starck, Alina Dima, Stephan Wunderlich, Kyriaki-Margarita Bintsi, Kamilia Zaripova, Rickmer Braren, Daniel Rueckert, Anees Kazi, Georgios Kaissis. tmlr, 2024, 2024. [doi]

ChEX: Interactive Localization and Region Description in Chest X-RaysPhilip Müller, Georgios Kaissis, Daniel Rueckert. eccv 2025: 92-111 [doi]

Are Population Graphs Really as Powerful as Believed?Tamara T. Müller, Sophie Starck, Kyriaki-Margarita Bintsi, Alexander Ziller, Rickmer Braren, Georgios Kaissis, Daniel Rueckert. tmlr, 2024, 2024. [doi]

Kernel Normalized Convolutional NetworksReza Nasirigerdeh, Reihaneh Torkzadehmahani, Daniel Rueckert, Georgios Kaissis. tmlr, 2024, 2024. [doi]

Enhancing the Utility of Privacy-Preserving Cancer Classification Using Synthetic DataRichard Osuala, Daniel Lang 0003, Anneliese Riess, Georgios Kaissis, Zuzanna Szafranowska, Grzegorz Skorupko, Oliver Díaz, Julia A. Schnabel, Karim Lekadir. miccai 2025: 54-64 [doi]

Complex-Valued Federated Learning with Differential Privacy and MRI ApplicationsAnneliese Riess, Alexander Ziller, Stefan Kolek, Daniel Rueckert, Julia A. Schnabel, Georgios Kaissis. miccai 2025: 191-203 [doi]

Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised trainingDmitrii Usynin, Daniel Rueckert, Georgios Kaissis. eicc 2024: 179-185 [doi]

Reconciling privacy and accuracy in AI for medical imagingAlexander Ziller, Tamara T. Mueller, Simon Stieger, Leonhard F. Feiner, Johannes Brandt, Rickmer Braren, Daniel Rueckert, Georgios Kaissis. natmi, 6(7):764-774, 2024. [doi]

2023

Gradient Self-alignment in Private Deep LearningDavid Bani-Harouni, Tamara T. Mueller, Daniel Rueckert, Georgios Kaissis. miccai 2023: 89-97 [doi]

Membership Inference Attacks Against Semantic Segmentation ModelsTomás Chobola, Dmitrii Usynin, Georgios Kaissis. ccs 2023: 43-53 [doi]

Propagation and Attribution of Uncertainty in Medical Imaging PipelinesLeonhard F. Feiner, Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert, Rickmer F. Braren, Georgios Kaissis. miccai 2023: 1-11 [doi]

Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser ModelsFlorian A. Hölzl, Daniel Rueckert, Georgios Kaissis. ccs 2023: 11-22 [doi]

Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learningGeorgios Kaissis, Alexander Ziller, Stefan Kolek, Anneliese Riess, Daniel Rueckert. nips 2023: [doi]

Robust Detection Outcome: A Metric for Pathology Detection in Medical ImagesFelix Meissen, Philip Müller, Georgios Kaissis, Daniel Rueckert. midl 2023: 568-585 [doi]

Body Fat Estimation from Surface Meshes Using Graph Neural NetworksTamara T. Mueller, Siyu Zhou, Sophie Starck, Friederike Jungmann, Alexander Ziller, Orhun Aksoy, Danylo Movchan, Rickmer Braren, Georgios Kaissis, Daniel Rueckert. miccai 2023: 105-117 [doi]

Differentially Private Graph Neural Networks for Whole-Graph ClassificationTamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis. pami, 45(6):7308-7318, June 2023. [doi]

Anatomy-Driven Pathology Detection on Chest X-raysPhilip Müller, Felix Meissen, Johannes Brandt, Georgios Kaissis, Daniel Rueckert. miccai 2023: 57-66 [doi]

Utility-preserving Federated LearningReza Nasirigerdeh, Daniel Rueckert, Georgios Kaissis. ccs 2023: 55-65 [doi]

Kernel Normalized Convolutional Networks for Privacy-Preserving Machine LearningReza Nasirigerdeh, Javad Torkzadehmahani, Daniel Rueckert, Georgios Kaissis. satml 2023: 107-118 [doi]

DiagnosisDaniel Rueckert, Moritz Knolle, Nicolas Duchateau, Reza Razavi, Georgios Kaissis. In Nicolas Duchateau, Andrew P. King, editors, AI and Big Data in Cardiology: A Practical Guide. pages 85-103, Springer International Publishing, 2023. [doi]

MAD: Modality Agnostic Distance Measure for Image RegistrationVasiliki Sideri-Lampretsa, Veronika A. Zimmer, Huaqi Qiu, Georgios Kaissis, Daniel Rueckert. miccai 2023: 147-156 [doi]

Interactive and Explainable Region-guided Radiology Report GenerationTim Tanida, Philip Müller, Georgios Kaissis, Daniel Rueckert. cvpr 2023: 7433-7442 [doi]

Label Noise-Robust Learning using a Confidence-Based Sieving StrategyReihaneh Torkzadehmahani, Reza Nasirigerdeh, Daniel Rueckert, Georgios Kaissis. tmlr, 2023, 2023. [doi]

Beyond Gradients: Exploiting Adversarial Priors in Model Inversion AttacksDmitrii Usynin, Daniel Rueckert, Georgios Kaissis. tissec, 26(3), August 2023. [doi]

Exploiting Segmentation Labels and Representation Learning to Forecast Therapy Response of PDAC PatientsAlexander Ziller, Ayhan Can Erdur, Friederike Jungmann, Daniel Rueckert, Rickmer Braren, Georgios Kaissis. isbi 2023: 1-5 [doi]

2022

Unified Interpretation of the Gaussian Mechanism for Differential Privacy Through the Sensitivity IndexGeorgios Kaissis, Moritz Knolle, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Daniel Rueckert. jpc, 12(1), 2022. [doi]

On the Pitfalls of Using the Residual Error as Anomaly ScoreFelix Meissen, Benedikt Wiestler, Georgios Kaissis, Daniel Rueckert. midl 2022: 914-928 [doi]

Unsupervised Anomaly Localization with Structural Feature-AutoencodersFelix Meissen, Johannes C. Paetzold, Georgios Kaissis, Daniel Rueckert. brainles-ws 2023: 14-24 [doi]

Joint Learning of Localized Representations from Medical Images and ReportsPhilip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert. eccv 2022: 685-701 [doi]

Radiological Reports Improve Pre-training for Localized Imaging Tasks on Chest X-RaysPhilip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert. miccai 2022: 647-657 [doi]

Relationformer: A Unified Framework for Image-to-Graph GenerationSuprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes C. Paetzold, Ivan Ezhov, Hongwei Li 0004, JiaZhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern H. Menze. eccv 2022: 422-439 [doi]

Multi-Modal Unsupervised Brain Image Registration Using Edge MapsVasiliki Sideri-Lampretsa, Georgios Kaissis, Daniel Rueckert. isbi 2022: 1-5 [doi]

Can Collaborative Learning Be Private, Robust and Scalable?Dmitrii Usynin, Helena Klause, Johannes C. Paetzold, Daniel Rueckert, Georgios Kaissis. miccai 2022: 37-46 [doi]

Zen and the art of model adaptation: Low-utility-cost attack mitigations in collaborative machine learningDmitrii Usynin, Daniel Rueckert, Jonathan Passerat-Palmbach, Georgios Kaissis. popets, 2022(1):274-290, 2022. [doi]

Privacy: An Axiomatic ApproachAlexander Ziller, Tamara T. Mueller, Rickmer Braren, Daniel Rueckert, Georgios Kaissis. entropy, 24(5):714, 2022. [doi]

2021

Segmentation of Peripancreatic Arteries in Multispectral Computed Tomography ImagingAlina Dima, Johannes C. Paetzold, Friederike Jungmann, Tristan Lemke, Philipp Raffler, Georgios Kaissis, Daniel Rueckert, Rickmer Braren. miccai 2021: 596-605 [doi]

RATCHET: Medical Transformer for Chest X-ray Diagnosis and ReportingBenjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz. miccai 2021: 293-303 [doi]

End-to-end privacy preserving deep learning on multi-institutional medical imagingGeorgios Kaissis, Alexander Ziller, Jonathan Passerat-Palmbach, Théo Ryffel, Dmitrii Usynin, Andrew Trask, Ionésio Lima, Jason Mancuso, Friederike Jungmann, Marc-Matthias Steinborn, Andreas Saleh, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren. natmi, 3(6):473-484, 2021. [doi]

U-Noise: Learnable Noise Masks for Interpretable Image SegmentationTeddy Koker, Fatemehsadat Mireshghallah, Tom Titcombe, Georgios Kaissis. icip 2021: 394-398 [doi]

Challenging Current Semi-supervised Anomaly Segmentation Methods for Brain MRIFelix Meissen, Georgios Kaissis, Daniel Rueckert. brainles-ws 2022: 63-74 [doi]

AutoSeg - Steering the Inductive Biases for Automatic Pathology SegmentationFelix Meissen, Georgios Kaissis, Daniel Rueckert. miccai 2022: 127-135 [doi]

Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and NeuroscienceJohannes C. Paetzold, Julian McGinnis, Suprosanna Shit, Ivan Ezhov, Paul Büschl, Chinmay Prabhakar, Anjany Sekuboyina, Mihail I. Todorov, Georgios Kaissis, Ali Ertürk, Stephan Günnemann, Bjoern H. Menze. nips 2021: [doi]

Adversarial interference and its mitigations in privacy-preserving collaborative machine learningDmitrii Usynin, Alexander Ziller, Marcus R. Makowski, Rickmer Braren, Daniel Rueckert, Ben Glocker, Georgios Kaissis, Jonathan Passerat-Palmbach. natmi, 3(9):749-758, 2021. [doi]

2020

Secure, privacy-preserving and federated machine learning in medical imagingGeorgios Kaissis, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren. natmi, 2(6):305-311, 2020. [doi]

2017

SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D Convolutional Neural NetworksPatrick Ferdinand Christ, Florian Ettlinger, Georgios Kaissis, Sebastian Schlecht, Freba Ahmaddy, Felix Grün, Alexander Valentinitsch, Seyed-Ahmad Ahmadi, Rickmer Braren, Bjoern H. Menze. isbi 2017: 839-843 [doi]

See Also

All Publications

Filter by Year
OR AND NOT 1

Filter by Type
OR AND NOT 1

Filter by Tag

Filter by Venue

[+]
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top Terms

[+]
OR AND NOT 1

Researchr

Publications by 'Georgios Kaissis'

Viewing Publication 1 - 60 from 60

2025

2024

2023

2022

2021

2020

2017

See Also

All Publications

Filter by YearOR AND NOT 1

Filter by TypeOR AND NOT 1

Filter by Tag

Filter by Venue [+]OR AND NOT 1

Filter by Author [+]OR AND NOT 1

Filter by Top Terms [+]OR AND NOT 1

Researchr

Publications by 'Georgios Kaissis'

Viewing Publication 1 - 60 from 60

2025

2024

2023

2022

2021

2020

2017

Filter by Year
OR AND NOT 1

Filter by Type
OR AND NOT 1

Filter by Venue

[+]
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top Terms

[+]
OR AND NOT 1