Georgios Kaissis

Generating author description...

All published works

Action	Title	Year	Authors
+	Heterogeneity-driven phenotypic plasticity and treatment response in branched-organoid models of pancreatic ductal adenocarcinoma	2024	Aristeidis Papargyriou Mulham Najajreh David P. Cook Carlo H. Maurer Stefanie Bärthel Hendrik A. Messal S. Ravichandran Till Richter Moritz Knolle Thomas J. Metzler
+ PDF Chat	Improved Localized Machine Unlearning Through the Lens of Memorization	2024	Reihaneh Torkzadehmahani Reza Nasirigerdeh Georgios Kaissis Daniel Rueckert Gintare Karolina Dziugaite Eleni Triantafillou
+ PDF Chat	Differentially Private Active Learning: Balancing Effective Data Selection and Privacy	2024	Kristian Schwethelm Johannes Kaiser Jonas Kuntzer Mehmet Yiğitsoy Daniel Rueckert Georgios Kaissis
+ PDF Chat	Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data	2024	Richard Osuala Daniel M. Lang Anneliese Riess Georgios Kaissis Zuzanna Szafranowska Grzegorz Skorupko Oliver Díaz Julia A. Schnabel Karim Lekadir
+ PDF Chat	Machine Unlearning for Medical Imaging	2024	Reza Nasirigerdeh Nader Razmi Julia Schnabel Daniel Rueckert Georgios Kaissis
+ PDF Chat	Attack-Aware Noise Calibration for Differential Privacy	2024	Bogdan Kulynych Juan Felipe Gomez Georgios Kaissis Flávio P. Calmon Carmela Troncoso
+ PDF Chat	Beyond the Calibration Point: Mechanism Comparison in Differential Privacy	2024	Georgios Kaissis Stefan Kolek Borja Balle Jamie Hayes Daniel Rueckert
+ PDF Chat	Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training	2024	Dmitrii Usynin Daniel Rueckert Georgios Kaissis
+ PDF Chat	ChEX: Interactive Localization and Region Description in Chest X-rays	2024	Philip C. Müller Georgios Kaissis Daniel Rueckert
+ PDF Chat	Visual Privacy Auditing with Diffusion Models	2024	Kristian Schwethelm Johannes Kaiser Moritz Knolle Daniel Rueckert Georgios Kaissis Alexander Ziller
+ PDF Chat	Cross-domain and Cross-dimension Learning for Image-to-Graph Transformers	2024	Alexander H. Berger Laurin Lux Suprosanna Shit Ivan Ezhov Georgios Kaissis Martin J. Menten Daniel Rueckert Johannes C. Paetzold
+ PDF Chat	Bounding Reconstruction Attack Success of Adversaries Without Data Priors	2024	Alexander Ziller Anneliese Riess Kristian Schwethelm Tamara T. Mueller Daniel Rueckert Georgios Kaissis
+ PDF Chat	Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling	2024	Philip C. Müller Felix Meissen Georgios Kaissis Daniel Rueckert
+ PDF Chat	(Predictable) performance bias in unsupervised anomaly detection	2024	Felix Meissen Svenja Breuer Moritz Knolle Alena Buyx Ruth Müller Georgios Kaissis Benedikt Wiestler Daniel Rückert
+	Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling	2024	Philip Müller Felix Meissen Georgios Kaissis Daniel Rueckert
+	Securing Collaborative Medical AI by Using Differential Privacy: Domain Transfer for Classification of Chest Radiographs	2023	Soroosh Tayebi Arasteh Mahshad Lotfinia Teresa Nolte Marwin-Jonathan Sähn Peter Isfort Christiane Kühl Sven Nebelung Georgios Kaissis Daniel Truhn
+ PDF Chat	Membership Inference Attacks Against Semantic Segmentation Models	2023	Tomáš Chobola Dmitrii Usynin Georgios Kaissis
+ PDF Chat	Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models	2023	Florian A. Hölzl Daniel Rueckert Georgios Kaissis
+ PDF Chat	Unsupervised Pathology Detection: A Deep Dive Into the State of the Art	2023	Ioannis Lagogiannis Felix Meissen Georgios Kaissis Daniel Rueckert
+	Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks	2023	Dmitrii Usynin Daniel Rueckert Georgios Kaissis
+ PDF Chat	Exploiting Segmentation Labels and Representation Learning to Forecast Therapy Response of PDAC Patients	2023	Alexander Ziller Ayhan Can Erdur Friederike Jungmann Daniel Rueckert Rickmer Braren Georgios Kaissis
+ PDF Chat	Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning	2023	Reza Nasirigerdeh Javad Torkzadehmahani Daniel Rueckert Georgios Kaissis
+	Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models	2023	Florian A. Hölzl Daniel Rueckert Georgios Kaissis
+	Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging	2023	Soroosh Tayebi Arasteh Alexander Ziller Christiane Kühl Marcus R. Makowski Sven Nebelung Rickmer Braren Daniel Rueckert Daniel Truhn Georgios Kaissis
+	Unsupervised Pathology Detection: A Deep Dive Into the State of the Art	2023	Ioannis Lagogiannis Felix Meissen Georgios Kaissis Daniel Rueckert
+	Robust Detection Outcome: A Metric for Pathology Detection in Medical Images	2023	Felix Meissen Philip C. Müller Georgios Kaissis Daniel Rueckert
+	Interactive and Explainable Region-guided Radiology Report Generation	2023	Tim Tanida Philip C. Müller Georgios Kaissis Daniel Rueckert
+	Leveraging gradient-derived metrics for data selection and valuation in differentially private training	2023	Dmitrii Usynin Daniel Rueckert Georgios Kaissis
+	Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy	2023	Soroosh Tayebi Arasteh Mahshad Lotfinia Teresa Nolte Marwin Saehn Peter Isfort Christiane Kühl Sven Nebelung Georgios Kaissis Daniel Truhn
+	Bounding data reconstruction attacks with the hypothesis testing interpretation of differential privacy	2023	Georgios Kaissis Jamie Hayes Alexander Ziller Daniel Rueckert
+	Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure	2023	Tamara T. Mueller Maulik Chevli Ameya Daigavane Daniel Rueckert Georgios Kaissis
+	Interpretable 2D Vision Models for 3D Medical Images	2023	Alexander Ziller Alp Güvenir Ayhan Can Erdur Tamara T. Mueller Philip Müller Friederike Jungmann Johannes Brandt Jan C. Peeken Rickmer Braren Daniel Rueckert
+ PDF Chat	Unsupervised Anomaly Localization with Structural Feature-Autoencoders	2023	Felix Meissen Johannes C. Paetzold Georgios Kaissis Daniel Rueckert
+	Extended Graph Assessment Metrics for Graph Neural Networks	2023	Tamara T. Mueller Sophie Starck Leonhard Feiner Kyriaki-Margarita Bintsi Daniel Rueckert Georgios Kaissis
+	Body Fat Estimation from Surface Meshes using Graph Neural Networks	2023	Tamara T. Mueller Siyu Zhou Sophie Starck Friederike Jungmann Alexander Ziller Orhun Aksoy Danylo Movchan Rickmer Braren Georgios Kaissis Daniel Rueckert
+	Bias-Aware Minimisation: Understanding and Mitigating Estimator Bias in Private SGD	2023	Moritz Knolle Robert Dorfman Alexander Ziller Daniel Rueckert Georgios Kaissis
+	Anatomy-Driven Pathology Detection on Chest X-rays	2023	Philip C. Müller Felix Meissen Johannes Brandt Georgios Kaissis Daniel Rueckert
+	MAD: Modality Agnostic Distance Measure for Image Registration	2023	Vasiliki Sideri-Lampretsa Veronika A. Zimmer Huaqi Qiu Georgios Kaissis Daniel Rueckert
+	FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare	2023	Karim Lekadir Aasa Feragen Abdul Joseph Fofanah Alejandro F. Frangi Alena Buyx Anais Emelie Andrea Lara Antonio R. Porras An‐Wen Chan Arcadi Navarro
+	(Predictable) Performance Bias in Unsupervised Anomaly Detection	2023	Felix Meissen Svenja Breuer Moritz Knolle Alena Buyx Ruth Müller Georgios Kaissis Benedikt Wiestler Daniel Rückert
+ PDF Chat	Propagation and Attribution of Uncertainty in Medical Imaging Pipelines	2023	Leonhard Feiner Martin J. Menten Kerstin Hammernik Paul Hager Wenqi Huang Daniel Rueckert Rickmer Braren Georgios Kaissis
+ PDF Chat	Body Fat Estimation from Surface Meshes Using Graph Neural Networks	2023	Tamara T. Mueller Siyu Zhou Sophie Starck Friederike Jungmann Alexander Ziller Orhun Aksoy Danylo Movchan Rickmer Braren Georgios Kaissis Daniel Rueckert
+	SoK: Memorisation in machine learning	2023	Dmitrii Usynin Moritz Knolle Georgios Kaissis
+	How Low Can You Go? Surfacing Prototypical In-Distribution Samples for Unsupervised Anomaly Detection	2023	Felix Meissen Johannes Getzner Alexander Ziller Georgios Kaissis Daniel Rueckert
+	Reconciling AI Performance and Data Reconstruction Resilience for Medical Imaging	2023	Alexander Ziller Tamara T. Mueller Simon Stieger Leonhard Feiner Johannes Brandt Rickmer Braren Daniel Rueckert Georgios Kaissis
+ PDF Chat	Differentially Private Graph Neural Networks for Whole-Graph Classification	2022	Tamara T. Mueller Johannes C. Paetzold Chinmay Prabhakar Dmitrii Usynin Daniel Rueckert Georgios Kaissis
+	The Liver Tumor Segmentation Benchmark (LiTS)	2022	Patrick Bilic Patrick Ferdinand Christ Hongwei Li Eugene Vorontsov Avi Ben-Cohen Georgios Kaissis Adi Szeskin Colin Jacobs Gabriel Efrain Humpire Mamani Gabriel Chartrand
+ PDF Chat	Unified Interpretation of the Gaussian Mechanism for Differential Privacy Through the Sensitivity Index	2022	Georgios Kaissis Moritz Knolle Friederike Jungmann Alexander Ziller Dmitrii Usynin Daniel Rueckert
+ PDF Chat	Privacy: An Axiomatic Approach	2022	Alexander Ziller Tamara T. Mueller Rickmer Braren Daniel Rueckert Georgios Kaissis
+ PDF Chat	Differentially private federated deep learning for multi-site medical image segmentation	2022	Alexander Ziller Dmitrii Usynin Nicolas W. Remerscheid Moritz Knolle Rickmer Braren Daniel Rueckert Georgios Kaissis
+ PDF Chat	Multi-Modal Unsupervised Brain Image Registration Using Edge Maps	2022	Vasiliki Sideri-Lampretsa Georgios Kaissis Daniel Rueckert
+ PDF Chat	Challenging Current Semi-supervised Anomaly Segmentation Methods for Brain MRI	2022	Felix Meissen Georgios Kaissis Daniel Rueckert
+ PDF Chat	AutoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation	2022	Felix Meissen Georgios Kaissis Daniel Rueckert
+	Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks	2022	Dmitrii Usynin Daniel Rueckert Georgios Kaissis
+	Differentially private training of residual networks with scale normalisation	2022	Helena Klause Alexander Ziller Daniel Rueckert Kerstin Hammernik Georgios Kaissis
+	Multi-modal unsupervised brain image registration using edge maps	2022	Vasiliki Sideri-Lampretsa Georgios Kaissis Daniel Rueckert
+	On the Pitfalls of Using the Residual Error as Anomaly Score	2022	Felix Meissen Benedikt Wiestler Georgios Kaissis Daniel Rueckert
+	Relationformer: A Unified Framework for Image-to-Graph Generation	2022	Suprosanna Shit Rajat Koner Bastian Wittmann Johannes C. Paetzold Ivan Ezhov Hongwei Li Jiazhen Pan Sahand Sharifzadeh Georgios Kaissis Volker Tresp
+	SoK: Differential Privacy on Graph-Structured Data	2022	Tamara T. Mueller Dmitrii Usynin Johannes C. Paetzold Daniel Rueckert Georgios Kaissis
+	Differentially Private Graph Classification with GNNs	2022	Tamara T. Mueller Johannes C. Paetzold Chinmay Prabhakar Dmitrii Usynin Daniel Rueckert Georgios Kaissis
+	AutoSeg -- Steering the Inductive Biases for Automatic Pathology Segmentation	2022	Felix Meissen Georgios Kaissis Daniel Rueckert
+	SmoothNets: Optimizing CNN architecture design for differentially private deep learning	2022	Nicolas W. Remerscheid Alexander Ziller Daniel Rueckert Georgios Kaissis
+	Kernel Normalized Convolutional Networks	2022	Reza Nasirigerdeh Reihaneh Torkzadehmahani Daniel Rueckert Georgios Kaissis
+	Unsupervised Anomaly Localization with Structural Feature-Autoencoders	2022	Felix Meissen Johannes C. Paetzold Georgios Kaissis Daniel Rueckert
+	Bridging the Gap: Differentially Private Equivariant Deep Learning for Medical Image Analysis	2022	Florian A. Hölzl Daniel Rueckert Georgios Kaissis
+	Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning	2022	Reza Nasirigerdeh Javad Torkzadehmahani Daniel Rueckert Georgios Kaissis
+	Label Noise-Robust Learning using a Confidence-Based Sieving Strategy	2022	Reihaneh Torkzadehmahani Reza Nasirigerdeh Daniel Rueckert Georgios Kaissis
+	Generalised Likelihood Ratio Testing Adversaries through the Differential Privacy Lens	2022	Georgios Kaissis Alexander Ziller Stefan Kolek Martinez de Azagra Daniel Rueckert
+	Exploiting segmentation labels and representation learning to forecast therapy response of PDAC patients	2022	Alexander Ziller Ayhan Can Erdur Friederike Jungmann Daniel Rueckert Rickmer Braren Georgios Kaissis
+	The Role of Local Alignment and Uniformity in Image-Text Contrastive Learning on Medical Images	2022	Philip C. Müller Georgios Kaissis Daniel Rueckert
+	How Do Input Attributes Impact the Privacy Loss in Differential Privacy?	2022	Tamara T. Mueller Stefan Kolek Friederike Jungmann Alexander Ziller Dmitrii Usynin Moritz Knolle Daniel Rueckert Georgios Kaissis
+	Membership Inference Attacks Against Semantic Segmentation Models	2022	Tomas Chobola Dmitrii Usynin Georgios Kaissis
+ PDF Chat	Joint Learning of Localized Representations from Medical Images and Reports	2022	Philip Müller Georgios Kaissis Congyu Zou Daniel Rueckert
+ PDF Chat	Relationformer: A Unified Framework for Image-to-Graph Generation	2022	Suprosanna Shit Rajat Koner Bastian Wittmann Johannes C. Paetzold Ivan Ezhov Hongwei Li Jiazhen Pan Sahand Sharifzadeh Georgios Kaissis Volker Tresp
+ PDF Chat	Can Collaborative Learning Be Private, Robust and Scalable?	2022	Dmitrii Usynin Helena Klause Johannes C. Paetzold Daniel Rueckert Georgios Kaissis
+	Can collaborative learning be private, robust and scalable?	2022	Dmitrii Usynin Helena Klause Johannes C. Paetzold Daniel Rueckert Georgios Kaissis
+ PDF Chat	Joint Learning of Localized Representations from Medical Images and Reports	2021	Philip C. Müller Georgios Kaissis Congyu Zou Daniel Rückert
+	Partial sensitivity analysis in differential privacy.	2021	Tamara T. Mueller Alexander Ziller Dmitrii Usynin Moritz Knolle Friederike Jungmann Daniel Rueckert Georgios Kaissis
+	An automatic differentiation system for the age of differential privacy.	2021	Dmitrii Usynin Alexander Ziller Moritz Knolle Daniel Rueckert Georgios Kaissis
+	An automatic differentiation system for the age of differential privacy	2021	Dmitrii Usynin Alexander Ziller Moritz Knolle Daniel Rueckert Georgios Kaissis
+	Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph)	2021	Johannes C. Paetzold Julian McGinnis Suprosanna Shit Ivan Ezhov Paul Büschl Chinmay Prabhakar Mihail Ivilinov Todorov Anjany Sekuboyina Georgios Kaissis Ali Ertürk
+ PDF Chat	U-Noise: Learnable Noise Masks for Interpretable Image Segmentation	2021	Teddy Koker Fatemehsadat Mireshghallah Tom Titcombe Georgios Kaissis
+ PDF Chat	Efficient, high-performance semantic segmentation using multi-scale feature extraction	2021	Moritz Knolle Georgios Kaissis Friederike Jungmann Sebastian Ziegelmayer Daniel Sasse Marcus R. Makowski Daniel Rueckert Rickmer Braren
+	Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation.	2021	Alexander Ziller Dmitrii Usynin Moritz Knolle Kritika Prakash Andrew Trask Rickmer Braren Marcus R. Makowski Daniel Rueckert Georgios Kaissis
+	Differentially private training of neural networks with Langevin dynamics for calibrated predictive uncertainty	2021	Moritz Knolle Alexander Ziller Dmitrii Usynin Rickmer Braren Marcus R. Makowski Daniel Rueckert Georgios Kaissis
+	HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning.	2021	Reza Nasirigerdeh Reihaneh Torkzadehmahani Julian Matschinske Jan Baumbach Daniel Rueckert Georgios Kaissis
+	U-Noise: Learnable Noise Masks for Interpretable Image Segmentation	2021	Teddy Koker Fatemehsadat Mireshghallah Tom Titcombe Georgios Kaissis
+	RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting	2021	Benjamin Hou Georgios Kaissis Ronald M. Summers Bernhard Kainz
+	NeuralDP Differentially private neural networks by design	2021	Moritz Knolle Dmitrii Usynin Alexander Ziller Marcus R. Makowski Daniel Rueckert Georgios Kaissis
+	Complex-valued deep learning with differential privacy	2021	Anneliese Riess Alexander Ziller Stefan Kolek Daniel Rueckert Julia Schnabel Georgios Kaissis
+ PDF Chat	RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting	2021	Benjamin Hou Georgios Kaissis Ronald M. Summers Bernhard Kainz
+	Distributed Machine Learning and the Semblance of Trust	2021	Dmitrii Usynin Alexander Ziller Daniel Rueckert Jonathan Passerat‐Palmbach Georgios Kaissis
+	Joint Learning of Localized Representations from Medical Images and Reports	2021	Philip C. Müller Georgios Kaissis Congyu Zou Daniel Rückert
+	Partial sensitivity analysis in differential privacy	2021	Tamara T. Mueller Alexander Ziller Dmitrii Usynin Moritz Knolle Friederike Jungmann Daniel Rueckert Georgios Kaissis
+	Challenging Current Semi-Supervised Anomaly Segmentation Methods for Brain MRI	2021	Felix Meissen Georgios Kaissis Daniel Rueckert
+	Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph)	2021	Johannes C. Paetzold Julian McGinnis Suprosanna Shit Ivan Ezhov Paul Büschl Chinmay Prabhakar Mihail Ivilinov Todorov Anjany Sekuboyina Georgios Kaissis Ali Serol Ertürk
+	Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation	2021	Alexander Ziller Dmitrii Usynin Moritz Knolle Kritika Prakash Andrew Trask Rickmer Braren Marcus R. Makowski Daniel Rueckert Georgios Kaissis
+	Differentially private training of neural networks with Langevin dynamics for calibrated predictive uncertainty	2021	Moritz Knolle Alexander Ziller Dmitrii Usynin Rickmer Braren Marcus R. Makowski Daniel Rueckert Georgios Kaissis
+	HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning	2021	Reza Nasirigerdeh Reihaneh Torkzadehmahani Julian Matschinske Jan Baumbach Daniel Rueckert Georgios Kaissis
+	U-Noise: Learnable Noise Masks for Interpretable Image Segmentation	2021	Teddy Koker Fatemehsadat Mireshghallah Tom Titcombe Georgios Kaissis
+	A unified interpretation of the Gaussian mechanism for differential privacy through the sensitivity index	2021	Georgios Kaissis Moritz Knolle Friederike Jungmann Alexander Ziller Dmitrii Usynin Daniel Rueckert
+	Differentially private federated deep learning for multi-site medical image segmentation	2021	Alexander Ziller Dmitrii Usynin Nicolas Remerscheid Moritz Knolle Marcus R. Makowski Rickmer Braren Daniel Rueckert Georgios Kaissis
+	An automatic differentiation system for the age of differential privacy	2021	Dmitrii Usynin Alexander Ziller Moritz Knolle Andrew Trask Kritika Prakash Daniel Rueckert Georgios Kaissis
+ PDF Chat	Privacy-preserving medical image analysis	2020	Alexander Ziller Jonathan Passerat‐Palmbach Théo Ryffel Dmitrii Usynin Andrew Trask Ionésio Da Lima Jason Mancuso Marcus R. Makowski Daniel Rueckert Rickmer Braren
+	Privacy-preserving medical image analysis	2020	Alexander Ziller Jonathan Passerat‐Palmbach Théo Ryffel Dmitrii Usynin Andrew Trask Ionésio da Lima Jason Mancuso Marcus R. Makowski Daniel Rueckert Rickmer Braren
+	The Liver Tumor Segmentation Benchmark (LiTS)	2019	Patrick Bilic Patrick Ferdinand Christ Hongwei Li Eugene Vorontsov Avi Ben-Cohen Georgios Kaissis Adi Szeskin Colin Jacobs Gabriel Efrain Humpire Mamani Gabriel Chartrand
+ PDF Chat	SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D Convolutional Neural Networks	2017	Patrick Ferdinand Christ Florian Ettlinger Georgios Kaissis Sebastian J. Schlecht Freba Ahmaddy Felix Grün Alexander Valentinitsch Seyed‐Ahmad Ahmadi Rickmer Braren Bjoern Menze
+	Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks.	2017	Patrick Ferdinand Christ Florian Ettlinger Felix Grün Mohamed Ezzeldin A. Elshaera Jana Lipková Sebastian J. Schlecht Freba Ahmaddy Sunil Tatavarty Marc Bickel Patrick Bilic
+	SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks	2017	Patrick Ferdinand Christ Florian Ettlinger Georgios Kaissis Sebastian J. Schlecht Freba Ahmaddy Felix Grün Alexander Valentinitsch Seyed‐Ahmad Ahmadi Rickmer Braren Bjoern Menze
+	SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks	2017	Patrick Ferdinand Christ Florian Ettlinger Georgios Kaissis Sebastian J. Schlecht Freba Ahmaddy Felix Grün Alexander Valentinitsch Seyed‐Ahmad Ahmadi Rickmer Braren Bjoern Menze
+	Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks	2017	Patrick Ferdinand Christ Florian Ettlinger Felix Grün Mohamed Ezzeldin A. Elshaera Jana Lipková Sebastian J. Schlecht Freba Ahmaddy Sunil Tatavarty Marc Bickel Patrick Bilic

Common Coauthors

Coauthor	Papers Together
Daniel Rueckert	83
Alexander Ziller	35
Dmitrii Usynin	30
Moritz Knolle	22
Rickmer Braren	18
Felix Meissen	16
Tamara T. Mueller	14
Johannes C. Paetzold	14
Bjoern Menze	11
Friederike Jungmann	11
Reza Nasirigerdeh	8
Rickmer Braren	8
Philip C. Müller	8
Florian Ettlinger	7
Suprosanna Shit	7
Patrick Ferdinand Christ	7
Marcus R. Makowski	7
Ivan Ezhov	7
Freba Ahmaddy	5
Seyed‐Ahmad Ahmadi	5
Reihaneh Torkzadehmahani	5
Benedikt Wiestler	5
Andrew Trask	5
Sebastian J. Schlecht	5
Wieland H. Sommer	4
Jana Lipková	4
Felix Hofmann	4
Julian Walter Holch	4
Patrick Bilic	4
Hongwei Li	4
Anjany Sekuboyina	4
Daniel Rückert	4
Volker Heinemann	4
Markus Rempfler	4
Congyu Zou	3
Sophie Starck	3
Soroosh Tayebi Arasteh	3
Christiane Kühl	3
Felix Grün	3
Helena Klause	3
Alena Buyx	3
Florian A. Hölzl	3
Marcus R. Makowski	3
Ayhan Can Erdur	3
Teddy Koker	3
Philip Müller	3
Johannes Brandt	3
Anneliese Riess	3
Fatemehsadat Mireshghallah	3
Vasiliki Sideri-Lampretsa	3

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Learning with Differential Privacy	2016	Martı́n Abadi Andy Chu Ian Goodfellow H. Brendan McMahan Ilya Mironov Kunal Talwar Li Zhang	16
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	11
+ PDF Chat	Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study	2021	Christoph Baur Stefan Denner Benedikt Wiestler Nassir Navab Shadi Albarqouni	7
+ PDF Chat	Rényi Differential Privacy	2017	Ilya Mironov	7
+ PDF Chat	CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison	2019	Jeremy Irvin Pranav Rajpurkar Michael Ko Yifan Yu Silviana Ciurea-Ilcus Chris Chute Henrik Marklund Behzad Haghgoo Robyn L. Ball Katie Shpanskaya	6
+ PDF Chat	Unsupervised Anomaly Localization Using Variational Auto-Encoders	2019	David Zimmerer Fabian Isensee Jens Petersen Simon Kohl Klaus H. Maier‐Hein	6
+	Federated Learning: Strategies for Improving Communication Efficiency	2016	Jakub Konečný H. Brendan McMahan Felix X. Yu Peter Richtárik Ananda Theertha Suresh Dave Bacon	5
+	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	Mingxing Tan Quoc V. Le	4
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	4
+ PDF Chat	Membership Inference Attacks Against Machine Learning Models	2017	Reza Shokri Marco Stronati Congzheng Song Vitaly Shmatikov	4
+	Inverting Gradients -- How easy is it to break privacy in federated learning?	2020	Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller	4
+	Communication-Efficient Learning of Deep Networks from Decentralized Data	2016	H. Brendan McMahan Eider Moore Daniel Ramage Seth Hampson Blaise Agüera y Arcas	4
+	Gaussian Differential Privacy	2019	Jinshuo Dong Aaron Roth Weijie Su	3
+	Unlocking High-Accuracy Differentially Private Image Classification through Scale	2022	Soham De Leonard Berrada Jamie Hayes Samuel Smith Borja Balle	3
+	A large annotated medical image dataset for the development and evaluation of segmentation algorithms	2019	Amber L. Simpson Michela Antonelli Spyridon Bakas Michel Bilello Keyvan Farahani Bram van Ginneken Annette Kopp‐Schneider Bennett A. Landman Geert Litjens Bjoern Menze	3
+ PDF Chat	Collaborative training of medical artificial intelligence models with non-uniform labels	2023	Soroosh Tayebi Arasteh Peter Isfort Marwin Saehn Gustav Mueller-Franzes Firas Khader Jakob Nikolas Kather Christiane Kühl Sven Nebelung Daniel Truhn	3
+ PDF Chat	Bootstrapping and permuting paired t-test type statistics	2013	Frank Konietschke Markus Pauly	3
+ PDF Chat	Show and tell: A neural image caption generator	2015	Oriol Vinyals Alexander Toshev Samy Bengio Dumitru Erhan	3
+	Differentially private training of residual networks with scale normalisation	2022	Helena Klause Alexander Ziller Daniel Rueckert Kerstin Hammernik Georgios Kaissis	3
+	Differential Privacy Has Disparate Impact on Model Accuracy	2019	Eugene Bagdasaryan Vitaly Shmatikov	3
+ PDF Chat	Detecting Outliers with Poisson Image Interpolation	2021	Jeremy Tan Benjamin Hou Thomas G. Day John Simpson Daniel Rueckert Bernhard Kainz	3
+	Opacus: User-Friendly Differential Privacy Library in PyTorch	2021	Ashkan Yousefpour И. П. Шилов Alexandre Sablayrolles Davide Testuggine Karthik Prasad Mani Malek John Nguyen Sayan Ghosh Akash Bharadwaj Jessica Zhao	3
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	3
+ PDF Chat	Exploiting Unintended Feature Leakage in Collaborative Learning	2019	Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov	3
+ PDF Chat	Patch SVDD: Patch-Level SVDD for Anomaly Detection and Segmentation	2021	Jihun Yi Sungroh Yoon	3
+	Tempered Sigmoid Activations for Deep Learning with Differential Privacy.	2020	Nicolas Papernot Abhradeep Thakurta Shuang Song Steve Chien Úlfar Erlingsson	3
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	3
+ PDF Chat	Reconstructing Training Data with Informed Adversaries	2022	Borja Balle Giovanni Cherubin Jamie Hayes	3
+ PDF Chat	TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays	2018	Xiaosong Wang Yifan Peng Le Lü Zhiyong Lu Ronald M. Summers	3
+ PDF Chat	Certified Robustness to Adversarial Examples with Differential Privacy	2019	Mathias Lécuyer Vaggelis Atlidakis Roxana Geambasu Daniel Hsu Suman Jana	3
+ PDF Chat	The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks	2020	Yuheng Zhang Ruoxi Jia Hengzhi Pei Wenxiao Wang Bo Li Dawn Song	3
+ PDF Chat	Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery	2017	Thomas Schlegl Philipp Seeböck Sebastian M. Waldstein Ursula Schmidt‐Erfurth Georg Langs	3
+	Attention U-Net: Learning Where to Look for the Pancreas	2018	Ozan Oktay Jo Schlemper Loïc Le Folgoc Matthew C. H. Lee Mattias P. Heinrich‬ Kazunari Misawa Kensaku Mori Steven McDonagh Nils Hammerla Bernhard Kainz	3
+ PDF Chat	Deep Learning with Gaussian Differential Privacy	2020	Zhiqi Bu Jinshuo Dong Qi Long SU Wei-Jie	3
+	Federated Learning: Strategies for Improving Communication Efficiency	2016	Jakub Konečný H. Brendan McMahan Felix X. Yu Peter Richtárik Ananda Theertha Suresh Dave Bacon	3
+ PDF Chat	Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields	2016	Patrick Ferdinand Christ Mohamed Ezzeldin A. Elshaer Florian Ettlinger Sunil Tatavarty Marc Bickel Patrick Bilic Markus Rempfler Marco Armbruster Felix Hofmann Melvin D’Anastasi	3
+ PDF Chat	A simplicial homology algorithm for Lipschitz optimisation	2018	Stefan Endres Carl Sandrock Walter W. Focke	3
+ PDF Chat	Towards Visually Explaining Variational Autoencoders	2020	Wenqian Liu Runze Li Meng Zheng Srikrishna Karanam Ziyan Wu Bir Bhanu Richard J. Radke Octavia Camps	3
+	Lipschitz regularity of deep neural networks: analysis and efficient estimation	2018	Kevin Scaman Aladin Virmaux	3
+	Individual Privacy Accounting via a Renyi Filter	2020	Vitaly Feldman Tijana Zrnic	3
+	Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge	2018	Spyridon Bakas Mauricio Reyes Enzo Battistella Siddhartha Chandra Huiguang He Lucas Fidon Maria Vakalopoulou Roger Sun et al. Éric Deutsch	3
+ PDF Chat	Challenging Current Semi-supervised Anomaly Segmentation Methods for Brain MRI	2022	Felix Meissen Georgios Kaissis Daniel Rueckert	3
+	Subsampled Rényi Differential Privacy and Analytical Moments Accountant	2018	Yu-Xiang Wang Borja Balle Shiva Prasad Kasiviswanathan	2
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	2
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis	2
+ PDF Chat	Women Also Snowboard: Overcoming Bias in Captioning Models	2018	Lisa Anne Hendricks Kaylee Burns Kate Saenko Trevor Darrell Anna Rohrbach	2
+	A Unified Approach to Interpreting Model Predictions	2017	Scott Lundberg Su‐In Lee	2
+	On the difficulty of training Recurrent Neural Networks	2012	Razvan Pascanu Tomáš Mikolov Yoshua Bengio	2
+ PDF Chat	Neural Machine Translation of Rare Words with Subword Units	2016	Rico Sennrich Barry Haddow Alexandra Birch	2
+	Rényi Differential Privacy of the Sampled Gaussian Mechanism	2019	Ilya Mironov Kunal Talwar Li Zhang	2