Sergios Gatidis

89 papers A* 2B 2Misc 7Journal 59Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A data- and compute-efficient chest X-ray foundation model beyond aggressive scaling. CoRR Chong Wang, Yabin Zhang, Yunhe Gao, Maya Varma, Clemence Mottez, Faidra Patsatzi, Jiaming Liu, Jin Long, Jean-Benoit Delbrouck, Sergios Gatidis, Akshay S. Chaudhari, Curtis P. Langlotz
2026	J	`jnl`	Sparse Autoencoders for Interpretable Medical Image Representation Learning. CoRR Philipp Wesp, Robbie Holland, Vasiliki Sideri-Lampretsa, Sergios Gatidis
2026	J	`jnl`	Unpaired Image-to-Image Translation via a Self-Supervised Semantic Bridge. CoRR Jiaming Liu, Felix Petersen, Yunhe Gao, Yabin Zhang, Hyojin Kim, Akshay S. Chaudhari, Yu Sun, Stefano Ermon, Sergios Gatidis
2025	J	`jnl`	A dataset and benchmark for hospital course summarization with adapted large language models. J. Am. Medical Informatics Assoc. 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
2025	J	`jnl`	Adaptable Cardiovascular Disease Risk Prediction from Heterogeneous Data using Large Language Models. CoRR Frederike Lübeck, Jonas Wildberger, Frederik Träuble, Maximilian Mordig, Sergios Gatidis, Andreas Krause, Bernhard Schölkopf
2025	J	`jnl`	Attention incorporated network for sharing low-rank, image and k-space information during MR image reconstruction to achieve single breath-hold cardiac Cine imaging. Comput. Medical Imaging Graph. Siying Xu, Kerstin Hammernik, Andreas Lingg, Jens Kübler, Patrick Krumm, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2025	—	`conf`	Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis. ICCVW Eva Prakash, Jeya Maria Jose Valanarasu, Zhihong Chen, Eduardo Pontes Reis, Andrew Johnston, Anuj Pareek, Christian Bluethgen, Sergios Gatidis, Cameron Olsen, Akshay Chaudhari, Andrew Y. Ng, Curtis Langlotz
2025	J	`jnl`	Expert-level validation of AI-generated medical text with scalable language models. CoRR Asad Aali, Vasiliki Bikia, Maya Varma, Nicole Chiou, Sophie Ostmeier, Arnav Singhvi, Magdalini Paschali, Ashwin Kumar, Andrew Johnston, Karimar Amador-Martinez, Eduardo Juan Perez Guerrero, Paola Naovi Cruz Rivera, Sergios Gatidis, Christian Bluethgen, Eduardo Pontes Reis, Eddy D. Zandee van Rilland, Poonam Laxmappa Hosamani, Kevin R. Keet, Minjoung Go, Evelyn Bin Ling, David B. Larson, Curtis P. Langlotz, Roxana Daneshjou, Jason Hom, Sanmi Koyejo, Emily Alsentzer, Akshay S. Chaudhari
2025	—	`conf`	MIMM-X: Disentangling Spurious Correlations for Medical Image Analysis. FAIMI@MICCAI Louisa Fay, Hajer Reguigui, Bin Yang, Sergios Gatidis, Thomas Küstner
2025	J	`jnl`	MIMM-X: Disentangling Spurious Correlations for Medical Image Analysis. CoRR Louisa Fay, Hajer Reguigui, Bin Yang, Sergios Gatidis, Thomas Küstner
2025	J	`jnl`	MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks. CoRR Suhana Bedi, Hejie Cui, Miguel Fuentes, Alyssa Unell, Michael Wornow, Juan M. Banda, Nikesh Kotecha, Timothy Keyes, Yifan Mai, Mert Oez, Hao Qiu, Shrey Jain, Leonardo Schettini, Mehr Kashyap, Jason Alan Fries, Akshay Swaminathan, Philip Chung, Fateme Nateghi, Asad Aali, Ashwin Nayak, Shivam Vedak, Sneha S. Jain, Birju S. Patel, Oluseyi Fayanju, Shreya J. Shah, Ethan Goh, Dong-han Yao, Brian Soetikno, Eduardo Pontes Reis, Sergios Gatidis, Vasu Divi, Robson Capasso, Rachna Saralkar, Chia-Chun Chiang, Jenelle A. Jindal, Tho Pham, Faraz Ghoddusi, Steven Lin, Albert S. Chiou, Christy Hong, Mohana Roy, Michael F. Gensheimer, Hinesh Patel, Kevin Schulman, Dev Dash, Danton Char, Lance Downing, François Grolleau, Kameron C. Black, Bethel Mieso, Aydin Zahedivash, Wen-Wai Yim, Harshita Sharma, Tony Lee, Hannah Kirsch, Jennifer Lee, Nerissa Ambers, Carlene Lugtu, Aditya Sharma, Bilal Mawji, Alex Alekseyev, Vicky Zhou, Vikas Kakkar, Jarrod Helzer, Anurang Revri, Yair Bannett, Roxana Daneshjou, Jonathan H. Chen, Emily Alsentzer, Keith E. Morse, Nirmal Ravi, Nima Aghaeepour, Vanessa Kennedy, Akshay Chaudhari, Thomas Wang, Sanmi Koyejo, Matthew P. Lungren, Eric Horvitz, Percy Liang, Mike Pfeffer, Nigam H. Shah
2025	—	`conf`	Retrospective motion correction in MRI using disentangled embeddings. CAMSAP Qi Wang, Veronika Ecker, Marcel Früh, Sergios Gatidis, Thomas Küstner
2025	J	`jnl`	Retrospective motion correction in MRI using disentangled embeddings. CoRR Qi Wang, Veronika Ecker, Marcel Früh, Sergios Gatidis, Thomas Küstner
2025	J	`jnl`	Self-Supervised Feature Learning for Cardiac Cine MR Image Reconstruction. IEEE Trans. Medical Imaging Siying Xu, Marcel Früh, Kerstin Hammernik, Andreas Lingg, Jens Kübler, Patrick Krumm, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2025	—	`conf`	Self-supervised Motion-Compensated Reconstruction for Cardiac Cine MRI. GRAIL/RIME@MICCAI Siying Xu, Aya Ghoul, Kerstin Hammernik, Jens Kübler, Patrick Krumm, Andreas Lingg, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2025	A*	`conf`	Structuring Radiology Reports: Challenging LLMs with Lightweight Models. EMNLP Johannes Moll, Louisa Fay, Asfandyar Azhar, Sophie Ostmeier, Sergios Gatidis, Tim C. Lueth, Curtis Langlotz, Jean-Benoit Delbrouck
2025	J	`jnl`	Structuring Radiology Reports: Challenging LLMs with Lightweight Models. CoRR Johannes Moll, Louisa Fay, Asfandyar Azhar, Sophie Ostmeier, Tim C. Lueth, Sergios Gatidis, Curtis P. Langlotz, Jean-Benoit Delbrouck
2024	J	`jnl`	A Benchmark of Domain-Adapted Large Language Models for Generating Brief Hospital Course Summaries. CoRR 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
2024	J	`jnl`	Attention Incorporated Network for Sharing Low-rank, Image and K-space Information during MR Image Reconstruction to Achieve Single Breath-hold Cardiac Cine Imaging. CoRR Siying Xu, Kerstin Hammernik, Andreas Lingg, Jens Kübler, Patrick Krumm, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2024	J	`jnl`	Attention-Aware Non-Rigid Image Registration for Accelerated MR Imaging. IEEE Trans. Medical Imaging Aya Ghoul, Jiazhen Pan, Andreas Lingg, Jens Kübler, Patrick Krumm, Kerstin Hammernik, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2024	J	`jnl`	Attention-aware non-rigid image registration for accelerated MR imaging. CoRR Aya Ghoul, Jiazhen Pan, Andreas Lingg, Jens Kübler, Patrick Krumm, Kerstin Hammernik, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2024	—	`conf`	Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging. MLMI@MICCAI (2) Sarah Müller, Louisa Fay, Lisa M. Koch, Sergios Gatidis, Thomas Küstner, Philipp Berens
2024	J	`jnl`	Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging. CoRR Sarah Müller, Louisa Fay, Lisa M. Koch, Sergios Gatidis, Thomas Küstner, Philipp Berens
2024	J	`jnl`	Best Practices for Large Language Models in Radiology. CoRR Christian Bluethgen, Dave Van Veen, Cyril Zakka, Katherine Link, Aaron Fanous, Roxana Daneshjou, Thomas Frauenfelder, Curtis P. Langlotz, Sergios Gatidis, Akshay Chaudhari
2024	J	`jnl`	CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation. CoRR 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
2024	Misc	`conf`	Deep Regression for Biological Age Estimation in Multiple Organs: Investigations on 40, 000 Subjects of the UK Biobank. ICASSP Veronika Ecker, Marcel Früh, Bin Yang, Sergios Gatidis, Thomas Küstner
2024	J	`jnl`	Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis. CoRR Eva Prakash, Jeya Maria Jose Valanarasu, Zhihong Chen, Eduardo Pontes Reis, Andrew Johnston, Anuj Pareek, Christian Bluethgen, Sergios Gatidis, Cameron Olsen, Akshay Chaudhari, Andrew Y. Ng, Curtis P. Langlotz
2024	J	`jnl`	Foundation Models in Radiology: What, How, When, Why and Why Not. CoRR Magdalini Paschali, Zhihong Chen, Louis Blankemeier, Maya Varma, Alaa Youssef, Christian Bluethgen, Curtis P. Langlotz, Sergios Gatidis, Akshay Chaudhari
2024	J	`jnl`	Highly efficient non-rigid registration in k-space with application to cardiac Magnetic Resonance Imaging. CoRR Aya Ghoul, Kerstin Hammernik, Andreas Lingg, Patrick Krumm, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2024	J	`jnl`	Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow. Int. J. Comput. Assist. Radiol. Surg. 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
2024	A*	`conf`	MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. AAAI 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
2024	J	`jnl`	Merlin: A Vision Language Foundation Model for 3D Computed Tomography. CoRR 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
2024	J	`jnl`	Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging. Nat. Mac. Intell. Sergios Gatidis, Marcel Früh, Matthias Fabritius, Sijing Gu, Konstantin Nikolaou, Christian la Fougère, Jin Ye, Junjun He, Yige Peng, Lei Bi, Jun Ma, Bo Wang, Jia Zhang, Yukun Huang, Lars Heiliger, Zdravko Marinov, Rainer Stiefelhagen, Jan Egger, Jens Kleesiek, Ludovic Sibille, Lei Xiang, Simone Bendazzoli, Mehdi Astaraki, Michael Ingrisch, Clemens C. Cyran, Thomas Küstner
2024	J	`jnl`	Unlocking Robust Segmentation Across All Age Groups via Continual Learning. CoRR Chih-Ying Liu, Jeya Maria Jose Valanarasu, Camila González, Curtis P. Langlotz, Andrew Y. Ng, Sergios Gatidis
2023	J	`jnl`	Avoiding Shortcut-Learning by Mutual Information Minimization in Deep Learning-Based Image Processing. IEEE Access Louisa Fay, Erick Cobos, Bin Yang, Sergios Gatidis, Thomas Küstner
2023	J	`jnl`	Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts. CoRR 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
2023	J	`jnl`	MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. CoRR 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
2023	J	`jnl`	MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. CoRR 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.
2023	J	`jnl`	Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations. Comput. Medical Imaging Graph. Marc Fischer, Tobias Hepp, Sergios Gatidis, Bin Yang
2022	—	`conf`	Adversarial Robustness of MR Image Reconstruction Under Realistic Perturbations. MLMIR@MICCAI Jan Nikolas Morshuis, Sergios Gatidis, Matthias Hein, Christian F. Baumgartner
2022	J	`jnl`	Adversarial Robustness of MR Image Reconstruction under Realistic Perturbations. CoRR Jan Nikolas Morshuis, Sergios Gatidis, Matthias Hein, Christian F. Baumgartner
2022	J	`jnl`	Masked Co-attentional Transformer reconstructs 100x ultra-fast/low-dose whole-body PET from longitudinal images and anatomically guided MRI. CoRR 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
2022	J	`jnl`	Real Time Landmark Detection for Within- and Cross Subject Tracking With Minimal Human Supervision. IEEE Access Marcel Frueh, Andreas Schilling, Sergios Gatidis, Thomas Küstner
2022	J	`jnl`	Self-supervised learning for automated anatomical tracking in medical image data with minimal human labeling effort. Comput. Methods Programs Biomed. Marcel Frueh, Thomas Küstner, Marcel Nachbar, Daniela Thorwarth, Andreas Schilling, Sergios Gatidis
2021	J	`jnl`	Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation. IEEE Trans. Medical Imaging Karim Armanious, Sherif Abdulatif, Wenbin Shi, Shashank Salian, Thomas Küstner, Daniel Weiskopf, Tobias Hepp, Sergios Gatidis, Bin Yang
2021	Misc	`conf`	Automated Multi-Organ Segmentation in Pet Images Using Cascaded Training of a 3d U-Net and Convolutional Autoencoder. ICASSP Annika Liebgott, Charlotte Lorenz, Sergios Gatidis, Viet Chau Vu, Konstantin Nikolaou, Bin Yang
2021	J	`jnl`	LAPNet: Non-Rigid Registration Derived in k-Space for Magnetic Resonance Imaging. IEEE Trans. Medical Imaging Thomas Küstner, Jiazhen Pan, Haikun Qi, Gastão Cruz, Christopher Gilliam, Thierry Blu, Bin Yang, Sergios Gatidis, René M. Botnar, Claudia Prieto
2021	J	`jnl`	LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance Imaging. CoRR Thomas Küstner, Jiazhen Pan, Haikun Qi, Gastão Cruz, Christopher Gilliam, Thierry Blu, Bin Yang, Sergios Gatidis, René M. Botnar, Claudia Prieto
2021	J	`jnl`	Overcoming barriers to data sharing with medical image generation: a comprehensive evaluation. npj Digit. Medicine August DuMont Schütte, Jürgen Hetzel, Sergios Gatidis, Tobias Hepp, Benedikt Dietz, Stefan Bauer, Patrick Schwab
2021	J	`jnl`	Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study. Comput. Medical Imaging Graph. Tobias Hepp, Dominik Blum, Karim Armanious, Bernhard Schölkopf, Darko Stern, Bin Yang, Sergios Gatidis
2021	Misc	`conf`	Uncertainty-Based Biological Age Estimation of Brain MRI Scans. ICASSP Karim Armanious, Sherif Abdulatif, Wenbin Shi, Tobias Hepp, Sergios Gatidis, Bin Yang
2021	J	`jnl`	Uncertainty-Based Biological Age Estimation of Brain MRI Scans. CoRR Karim Armanious, Sherif Abdulatif, Wenbin Shi, Tobias Hepp, Sergios Gatidis, Bin Yang
2021	—	`conf`	Uncertainty-Guided Progressive GANs for Medical Image Translation. MICCAI (3) Uddeshya Upadhyay, Yanbei Chen, Tobias Hepp, Sergios Gatidis, Zeynep Akata
2021	J	`jnl`	Uncertainty-Guided Progressive GANs for Medical Image Translation. CoRR Uddeshya Upadhyay, Yanbei Chen, Tobias Hepp, Sergios Gatidis, Zeynep Akata
2021	—	`conf`	Whole-Body Soft-Tissue Lesion Tracking and Segmentation in Longitudinal CT Imaging Studies. MIDL Alessa Hering, Felix Peisen, Teresa Amaral, Sergios Gatidis, Thomas Eigentler, Ahmed Othman, Jan Hendrik Moltz
2020	J	`jnl`	Age-Net: An MRI-Based Iterative Framework for Biological Age Estimation. CoRR Karim Armanious, Sherif Abdulatif, Wenbin Shi, Shashank Salian, Thomas Küstner, Daniel Weiskopf, Tobias Hepp, Sergios Gatidis, Bin Yang
2020	—	`conf`	Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. MLMI@MICCAI Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl, Daniel Gutmann, Sergios Gatidis, Christopher Schlett, Annette Peters, Fabian Bamberg, Christian Wachinger
2020	J	`jnl`	Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. CoRR Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl, Daniel Gutmann, Sergios Gatidis, Christopher Schlett, Annette Peters, Fabian Bamberg, Christian Wachinger
2020	—	`conf`	Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk. APSIPA 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
2020	—	`conf`	Feature-based Response Prediction to Immunotherapy of late-stage Melanoma Patients Using PET/MR Imaging. EUSIPCO Annika Liebgott, Sergios Gatidis, Viet Chau Vu, Tobias Haueise, Konstantin Nikolaou, Bin Yang
2020	J	`jnl`	Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies. CoRR 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
2020	J	`jnl`	MedGAN: Medical image translation using GANs. Comput. Medical Imaging Graph. Karim Armanious, Chenming Jiang, Marc Fischer, Thomas Küstner, Tobias Hepp, Konstantin Nikolaou, Sergios Gatidis, Bin Yang
2020	—	`conf`	Organ-Based Chronological Age Estimation Based on 3D MRI Scans. EUSIPCO Karim Armanious, Sherif Abdulatif, Anish Rao Bhaktharaguttu, Thomas Küstner, Tobias Hepp, Sergios Gatidis, Bin Yang
2020	J	`jnl`	Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation. CoRR August DuMont Schütte, Jürgen Hetzel, Sergios Gatidis, Tobias Hepp, Benedikt Dietz, Stefan Bauer, Patrick Schwab
2020	—	`conf`	Unsupervised Adversarial Correction of Rigid MR Motion Artifacts. ISBI Karim Armanious, Aastha Tanwar, Sherif Abdulatif, Thomas Küstner, Sergios Gatidis, Bin Yang
2020	B	`conf`	ipA-MedGAN: Inpainting of Arbitrary Regions in Medical Imaging. ICIP Karim Armanious, Vijeth Kumar, Sherif Abdulatif, Tobias Hepp, Sergios Gatidis, Bin Yang
2019	Misc	`conf`	Adversarial Inpainting of Medical Image Modalities. ICASSP Karim Armanious, Youssef Mecky, Sergios Gatidis, Bin Yang
2019	J	`jnl`	Organ-based Age Estimation based on 3D MRI Scans. CoRR Karim Armanious, Sherif Abdulatif, Anish Rao Bhaktharaguttu, Thomas Küstner, Tobias Hepp, Sergios Gatidis, Bin Yang
2019	—	`conf`	Prediction of FDG uptake in Lung Tumors from CT Images Using Generative Adversarial Networks. EUSIPCO Annika Liebgott, Darius Hinderer, Karim Armanious, Alexander Bartler, Konstantin Nikolaou, Sergios Gatidis, Bin Yang
2019	—	`conf`	Retrospective Correction Of Rigid And Non-Rigid MR Motion Artifacts Using Gans. ISBI Karim Armanious, Sergios Gatidis, Konstantin Nikolaou, Bin Yang, Thomas Kustner
2019	J	`jnl`	Unsupervised Adversarial Correction of Rigid MR Motion Artifacts. CoRR Karim Armanious, Aastha Tanwar, Sherif Abdulatif, Thomas Küstner, Sergios Gatidis, Bin Yang
2019	—	`conf`	Unsupervised Medical Image Translation Using Cycle-MedGAN. EUSIPCO Karim Armanious, Chenming Jiang, Sherif Abdulatif, Thomas Küstner, Sergios Gatidis, Bin Yang
2019	J	`jnl`	Unsupervised Medical Image Translation Using Cycle-MedGAN. CoRR Karim Armanious, Chenming Jiang, Sherif Abdulatif, Thomas Küstner, Sergios Gatidis, Bin Yang
2019	J	`jnl`	ipA-MedGAN: Inpainting of Arbitrarily Regions in Medical Modalities. CoRR Karim Armanious, Vijeth Kumar, Sherif Abdulatif, Tobias Hepp, Sergios Gatidis, Bin Yang
2018	J	`jnl`	A Machine-learning framework for automatic reference-free quality assessment in MRI. CoRR 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
2018	J	`jnl`	Adversarial Inpainting of Medical Image Modalities. CoRR Karim Armanious, Youssef Mecky, Sergios Gatidis, Bin Yang
2018	Misc	`conf`	Automated Detection of High FDG Uptake Regions in CT Images. ICASSP Annika Liebgott, Florian Liebgott, Bin Yang, Sergios Gatidis, Konstantin Nikolaou
2018	Misc	`conf`	Automatic Motion Artifact Detection for Whole-Body Magnetic Resonance Imaging. ICASSP Thomas Kustner, Marvin Jandt, Annika Liebgott, Lukas Mauch, Petros Martirosian, Fabian Bamberg, Konstantin Nikolaou, Sergios Gatidis, Fritz Schick, Bin Yang
2018	—	`conf`	Deep Shape Analysis on Abdominal Organs for Diabetes Prediction. ShapeMI@MICCAI Benjamín Gutiérrez-Becker, Sergios Gatidis, Daniel Gutmann, Annette Peters, Christopher Schlett, Fabian Bamberg, Christian Wachinger
2018	J	`jnl`	Deep Shape Analysis on Abdominal Organs for Diabetes Prediction. CoRR Benjamín Gutiérrez-Becker, Sergios Gatidis, Daniel Gutmann, Annette Peters, Christopher Schlett, Fabian Bamberg, Christian Wachinger
2018	—	`conf`	Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Imaging. APSIPA 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
2018	J	`jnl`	ImFEATbox: a toolbox for extraction and analysis of medical image features. Int. J. Comput. Assist. Radiol. Surg. Annika Liebgott, Thomas Küstner, Heiko Strohmeier, Tobias Hepp, Philipp Mangold, Petros Martirosian, Fabian Bamberg, Konstantin Nikolaou, Bin Yang, Sergios Gatidis
2018	J	`jnl`	MedGAN: Medical Image Translation using GANs. CoRR Karim Armanious, Chenming Yang, Marc Fischer, Thomas Küstner, Konstantin Nikolaou, Sergios Gatidis, Bin Yang
2018	J	`jnl`	Retrospective correction of Rigid and Non-Rigid MR motion artifacts using GANs. CoRR Karim Armanious, Thomas Küstner, Konstantin Nikolaou, Sergios Gatidis, Bin Yang
2018	B	`conf`	Semantic Organ Segmentation in 3D Whole-Body MR Images. ICIP Thomas Küstner, Sarah Müller, Marc Fischer, Jakob Weiß, Konstantin Nikolaou, Fabian Bamberg, Bin Yang, Fritz Schick, Sergios Gatidis
2017	—	`conf`	An easy-to-use image labeling platform for automatic magnetic resonance image quality assessment. ISBI Thomas Kustner, Philip Wolf, Martin Schwartz, Annika Liebgott, Fritz Schick, Sergios Gatidis, Bin Yang
2017	J	`jnl`	MR-based respiratory and cardiac motion correction for PET imaging. Medical Image Anal. 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
2016	Misc	`conf`	Active learning for magnetic resonance image quality assessment. ICASSP Annika Liebgott, Thomas Kustner, Sergios Gatidis, Fritz Schick, Bin Yang
2016	J	`jnl`	MR Image Reconstruction Using a Combination of Compressed Sensing and Partial Fourier Acquisition: ESPReSSo. IEEE Trans. Medical Imaging Thomas Kustner, Christian Würslin, Sergios Gatidis, Petros Martirosian, Konstantin Nikolaou, Nina F. Schwenzer, Fritz Schick, Bin Yang, Holger Schmidt