Sergios Gatidis

According to our database, Sergios Gatidis authored at least 54 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow.

Alessa Hering, Max Westphal, Annika Gerken, Haidara Almansour, Michael Maurer, Benjamin P. Geisler, Temke Kohlbrandt, Thomas Eigentler, Teresa Amaral, Nikolas Lessmann, Sergios Gatidis, Horst K. Hahn, Konstantin Nikolaou, Ahmed E. Othman, Jan Hendrik Moltz, Felix Peisen

Int. J. Comput. Assist. Radiol. Surg., September, 2024

Attention-Aware Non-Rigid Image Registration for Accelerated MR Imaging.

Aya Ghoul, Jiazhen Pan, Andreas Lingg, Jens Kübler, Patrick Krumm, Kerstin Hammernik, Daniel Rueckert, Sergios Gatidis, Thomas Küstner

IEEE Trans. Medical Imaging, August, 2024

Highly efficient non-rigid registration in k-space with application to cardiac Magnetic Resonance Imaging.

Aya Ghoul, Kerstin Hammernik, Andreas Lingg, Patrick Krumm, Daniel Rueckert, Sergios Gatidis, Thomas Küstner

CoRR, 2024

Attention Incorporated Network for Sharing Low-rank, Image and K-space Information during MR Image Reconstruction to Achieve Single Breath-hold Cardiac Cine Imaging.

Siying Xu, Kerstin Hammernik, Andreas Lingg, Jens Kübler, Patrick Krumm, Daniel Rueckert, Sergios Gatidis, Thomas Küstner

CoRR, 2024

Merlin: A Vision Language Foundation Model for 3D Computed Tomography.

Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magdalini Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Pontes Reis, Cesar Truyts, Christian Bluethgen, Malte Engmann Kjeldskov Jensen, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro Júnior, Neera Ahuja, Jason Alan Fries, Nigam H. Shah, Andrew Johnston, Robert D. Boutin, Andrew Wentland, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, Akshay S. Chaudhari

CoRR, 2024

Unlocking Robust Segmentation Across All Age Groups via Continual Learning.

Chih-Ying Liu, Jeya Maria Jose Valanarasu, Camila González, Curtis P. Langlotz, Andrew Y. Ng, Sergios Gatidis

CoRR, 2024

A Benchmark of Domain-Adapted Large Language Models for Generating Brief Hospital Course Summaries.

Asad Aali, Dave Van Veen, Yamin Ishraq Arefeen, Jason Hom, Christian Bluethgen, Eduardo Pontes Reis, Sergios Gatidis, Namuun Clifford, Joseph Daws, Arash S. Tehrani, Jangwon Kim, Akshay S. Chaudhari

CoRR, 2024

CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation.

Zhihong Chen, Maya Varma, Jean-Benoit Delbrouck, Magdalini Paschali, Louis Blankemeier, Dave Van Veen, Jeya Maria Jose Valanarasu, Alaa Youssef, Joseph Paul Cohen, Eduardo Pontes Reis, Emily Bao Tsai, Andrew Johnston, Cameron Olsen, Tanishq Mathew Abraham, Sergios Gatidis, Akshay S. Chaudhari, Curtis P. Langlotz

CoRR, 2024

Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging.

Sarah Müller, Louisa Fay, Lisa M. Koch, Sergios Gatidis, Thomas Küstner, Philipp Berens

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Deep Regression for Biological Age Estimation in Multiple Organs: Investigations on 40, 000 Subjects of the UK Biobank.

Veronika Ecker, Marcel Früh, Bin Yang, Sergios Gatidis, Thomas Küstner

Proceedings of the IEEE International Conference on Acoustics, 2024

MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records.

Scott L. Fleming, Alejandro Lozano, William J. Haberkorn, Jenelle A. Jindal, Eduardo Pontes Reis, Rahul Thapa, Louis Blankemeier, Julian Z. Genkins, Ethan Steinberg, Ashwin Nayak, Birju S. Patel, Chia-Chun Chiang, Alison Callahan, Zepeng Huo, Sergios Gatidis, Scott J. Adams, Oluseyi Fayanju, Shreya J. Shah, Thomas Savage, Ethan Goh, Akshay S. Chaudhari, Nima Aghaeepour, Christopher D. Sharp, Michael A. Pfeffer, Percy Liang, Jonathan H. Chen, Keith E. Morse, Emma P. Brunskill, Jason A. Fries, Nigam H. Shah

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations.

Marc Fischer, Tobias Hepp, Sergios Gatidis, Bin Yang

Comput. Medical Imaging Graph., March, 2023

Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts.

Dave Van Veen, Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen, Anuj Pareek, Malgorzata Polacin, William Collins, Neera Ahuja, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, John M. Pauly, Akshay S. Chaudhari

CoRR, 2023

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.

Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque R. Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferdinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Küstner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Löffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Arcot Sowmya, Eduardo A. Garza-Villarreal, Thania Balducci, et al.

CoRR, 2023

Avoiding Shortcut-Learning by Mutual Information Minimization in Deep Learning-Based Image Processing.

Louisa Fay, Erick Cobos, Bin Yang, Sergios Gatidis, Thomas Küstner

IEEE Access, 2023

2022

Masked Co-attentional Transformer reconstructs 100x ultra-fast/low-dose whole-body PET from longitudinal images and anatomically guided MRI.

Yan-Ran Wang, Liangqiong Qu, Natasha Diba Sheybani, Xiaolong Luo, Jiangshan Wang, Kristina Elizabeth Hawk, Ashok Joseph Theruvath, Sergios Gatidis, Xuerong Xiao, Allison Pribnow, Daniel L. Rubin, Heike E. Daldrup-Link

CoRR, 2022

Self-supervised learning for automated anatomical tracking in medical image data with minimal human labeling effort.

Marcel Frueh, Thomas Küstner, Marcel Nachbar, Daniela Thorwarth, Andreas Schilling, Sergios Gatidis

Comput. Methods Programs Biomed., 2022

Real Time Landmark Detection for Within- and Cross Subject Tracking With Minimal Human Supervision.

Marcel Frueh, Andreas Schilling, Sergios Gatidis, Thomas Küstner

IEEE Access, 2022

Adversarial Robustness of MR Image Reconstruction Under Realistic Perturbations.

Jan Nikolas Morshuis, Sergios Gatidis, Matthias Hein, Christian F. Baumgartner

Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

2021

LAPNet: Non-Rigid Registration Derived in k-Space for Magnetic Resonance Imaging.

Thomas Küstner, Jiazhen Pan, Haikun Qi, Gastão Cruz, Christopher Gilliam, Thierry Blu, Bin Yang, Sergios Gatidis, René M. Botnar, Claudia Prieto

IEEE Trans. Medical Imaging, 2021

Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation.

Karim Armanious, Sherif Abdulatif, Wenbin Shi, Shashank Salian, Thomas Küstner, Daniel Weiskopf, Tobias Hepp, Sergios Gatidis, Bin Yang

IEEE Trans. Medical Imaging, 2021

Overcoming barriers to data sharing with medical image generation: a comprehensive evaluation.

August DuMont Schütte, Jürgen Hetzel, Sergios Gatidis, Tobias Hepp, Benedikt Dietz, Stefan Bauer, Patrick Schwab

npj Digit. Medicine, 2021

Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study.

Tobias Hepp, Dominik Blum, Karim Armanious, Bernhard Schölkopf, Darko Stern, Bin Yang, Sergios Gatidis

Comput. Medical Imaging Graph., 2021

Whole-Body Soft-Tissue Lesion Tracking and Segmentation in Longitudinal CT Imaging Studies.

Alessa Hering, Felix Peisen, Teresa Amaral, Sergios Gatidis, Thomas Eigentler, Ahmed Othman, Jan Hendrik Moltz

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Uncertainty-Guided Progressive GANs for Medical Image Translation.

Uddeshya Upadhyay, Yanbei Chen, Tobias Hepp, Sergios Gatidis, Zeynep Akata

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Automated Multi-Organ Segmentation in Pet Images Using Cascaded Training of a 3d U-Net and Convolutional Autoencoder.

Annika Liebgott, Charlotte Lorenz, Sergios Gatidis, Viet Chau Vu, Konstantin Nikolaou, Bin Yang

Proceedings of the IEEE International Conference on Acoustics, 2021

Uncertainty-Based Biological Age Estimation of Brain MRI Scans.

Karim Armanious, Sherif Abdulatif, Wenbin Shi, Tobias Hepp, Sergios Gatidis, Bin Yang

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Age-Net: An MRI-Based Iterative Framework for Biological Age Estimation.

Karim Armanious, Sherif Abdulatif, Wenbin Shi, Shashank Salian, Thomas Küstner, Daniel Weiskopf, Tobias Hepp, Sergios Gatidis, Bin Yang

CoRR, 2020

Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies.

Thomas Küstner, Tobias Hepp, Marc Fischer, Martin Schwartz, Andreas Fritsche, Hans-Ulrich Häring, Konstantin Nikolaou, Fabian Bamberg, Bin Yang, Fritz Schick, Sergios Gatidis, Jürgen Machann

CoRR, 2020

MedGAN: Medical image translation using GANs.

Karim Armanious, Chenming Jiang, Marc Fischer, Thomas Küstner, Tobias Hepp, Konstantin Nikolaou, Sergios Gatidis, Bin Yang

Comput. Medical Imaging Graph., 2020

Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers.

Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl, Daniel Gutmann, Sergios Gatidis, Christopher Schlett, Annette Peters, Fabian Bamberg, Christian Wachinger

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Unsupervised Adversarial Correction of Rigid MR Motion Artifacts.

Karim Armanious, Aastha Tanwar, Sherif Abdulatif, Thomas Küstner, Sergios Gatidis, Bin Yang

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

ipA-MedGAN: Inpainting of Arbitrary Regions in Medical Imaging.

Karim Armanious, Vijeth Kumar, Sherif Abdulatif, Tobias Hepp, Sergios Gatidis, Bin Yang

Proceedings of the IEEE International Conference on Image Processing, 2020

Feature-based Response Prediction to Immunotherapy of late-stage Melanoma Patients Using PET/MR Imaging.

Annika Liebgott, Sergios Gatidis, Viet Chau Vu, Tobias Haueise, Konstantin Nikolaou, Bin Yang

Proceedings of the 28th European Signal Processing Conference, 2020

Organ-Based Chronological Age Estimation Based on 3D MRI Scans.

Karim Armanious, Sherif Abdulatif, Anish Rao Bhaktharaguttu, Thomas Küstner, Tobias Hepp, Sergios Gatidis, Bin Yang

Proceedings of the 28th European Signal Processing Conference, 2020

Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk.

Thomas Küstner, Jiazhen Pan, Christopher Gilliam, Haikun Qi, Gastão Cruz, Kerstin Hammernik, Bin Yang, Thierry Blu, Daniel Rueckert, René M. Botnar, Claudia Prieto, Sergios Gatidis

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019

ipA-MedGAN: Inpainting of Arbitrarily Regions in Medical Modalities.

Karim Armanious, Vijeth Kumar, Sherif Abdulatif, Tobias Hepp, Sergios Gatidis, Bin Yang

CoRR, 2019

Organ-based Age Estimation based on 3D MRI Scans.

Karim Armanious, Sherif Abdulatif, Anish Rao Bhaktharaguttu, Thomas Küstner, Tobias Hepp, Sergios Gatidis, Bin Yang

CoRR, 2019

Retrospective Correction Of Rigid And Non-Rigid MR Motion Artifacts Using Gans.

Karim Armanious, Sergios Gatidis, Konstantin Nikolaou, Bin Yang, Thomas Kustner

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Adversarial Inpainting of Medical Image Modalities.

Karim Armanious, Youssef Mecky, Sergios Gatidis, Bin Yang

Proceedings of the IEEE International Conference on Acoustics, 2019

Prediction of FDG uptake in Lung Tumors from CT Images Using Generative Adversarial Networks.

Annika Liebgott, Darius Hinderer, Karim Armanious, Alexander Bartler, Konstantin Nikolaou, Sergios Gatidis, Bin Yang

Proceedings of the 27th European Signal Processing Conference, 2019

Unsupervised Medical Image Translation Using Cycle-MedGAN.

Karim Armanious, Chenming Jiang, Sherif Abdulatif, Thomas Küstner, Sergios Gatidis, Bin Yang

Proceedings of the 27th European Signal Processing Conference, 2019

2018

A Machine-learning framework for automatic reference-free quality assessment in MRI.

Thomas Küstner, Sergios Gatidis, Annika Liebgott, Martin Schwartz, Lukas Mauch, Petros Martirosian, Holger Schmidt, Nina F. Schwenzer, Konstantin Nikolaou, Fabian Bamberg, Bin Yang, Fritz Schick

CoRR, 2018

MedGAN: Medical Image Translation using GANs.

Karim Armanious, Chenming Yang, Marc Fischer, Thomas Küstner, Konstantin Nikolaou, Sergios Gatidis, Bin Yang

CoRR, 2018

ImFEATbox: a toolbox for extraction and analysis of medical image features.

Annika Liebgott, Thomas Küstner, Heiko Strohmeier, Tobias Hepp, Philipp Mangold, Petros Martirosian, Fabian Bamberg, Konstantin Nikolaou, Bin Yang, Sergios Gatidis

Int. J. Comput. Assist. Radiol. Surg., 2018

Deep Shape Analysis on Abdominal Organs for Diabetes Prediction.

Benjamín Gutiérrez-Becker, Sergios Gatidis, Daniel Gutmann, Annette Peters, Christopher Schlett, Fabian Bamberg, Christian Wachinger

Proceedings of the Shape in Medical Imaging, 2018

Semantic Organ Segmentation in 3D Whole-Body MR Images.

Thomas Küstner, Sarah Müller, Marc Fischer, Jakob Weiß, Konstantin Nikolaou, Fabian Bamberg, Bin Yang, Fritz Schick, Sergios Gatidis

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Automated Detection of High FDG Uptake Regions in CT Images.

Annika Liebgott, Florian Liebgott, Bin Yang, Sergios Gatidis, Konstantin Nikolaou

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Automatic Motion Artifact Detection for Whole-Body Magnetic Resonance Imaging.

Thomas Kustner, Marvin Jandt, Annika Liebgott, Lukas Mauch, Petros Martirosian, Fabian Bamberg, Konstantin Nikolaou, Sergios Gatidis, Fritz Schick, Bin Yang

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Imaging.

Sebastian Milde, Annika Liebgott, Ziwei Wu, Wenyi Feng, Jiahuan Yang, Lukas Mauch, Petros Martirosian, Fabian Bamberg, Konstantin Nikolaou, Sergios Gatidis, Fritz Schick, Bin Yang, Thomas Kustner

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017

MR-based respiratory and cardiac motion correction for PET imaging.

Thomas Kustner, Martin Schwartz, Petros Martirosian, Sergios Gatidis, Ferdinand Seith, Christopher Gilliam, Thierry Blu, Hadi Fayad, Dimitris Visvikis, Fritz Schick, Bin Yang, Holger Schmidt, Nina F. Schwenzer

Medical Image Anal., 2017

An easy-to-use image labeling platform for automatic magnetic resonance image quality assessment.

Thomas Kustner, Philip Wolf, Martin Schwartz, Annika Liebgott, Fritz Schick, Sergios Gatidis, Bin Yang

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

MR Image Reconstruction Using a Combination of Compressed Sensing and Partial Fourier Acquisition: ESPReSSo.

Thomas Kustner, Christian Würslin, Sergios Gatidis, Petros Martirosian, Konstantin Nikolaou, Nina F. Schwenzer, Fritz Schick, Bin Yang, Holger Schmidt

IEEE Trans. Medical Imaging, 2016

Active learning for magnetic resonance image quality assessment.

Annika Liebgott, Thomas Kustner, Sergios Gatidis, Fritz Schick, Bin Yang

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016