Apple Vision Pro for Healthcare: "The Ultimate Display"? - Entering the Wonderland of Precision. - Jan Egger; Christina Gsaxner; Xiaojun Chen 003; Jiang Bian 001; Jens Kleesiek; Behrus Puladi (CoRR, 2023)

AIxSuture - Open Suturing Dataset. - Philipp Peters; Martin Lemos; Andrea Bönsch; Mark Ooms; Max Ulbrich; Ashkan Rashad; Felix Krause 003; Myriam Lipprandt; Torsten Wolfgang Kuhlen; Rainer Röhrig; Frank Hölzle; Behrus Puladi (Zenodo, 2023)

Open-source skull reconstruction with MONAI. - Jianning Li 002; André Ferreira; Behrus Puladi; Victor Alves; Michael Kamp; Moon S. Kim 002; Felix Nensa; Jens Kleesiek; Seyed-Ahmad Ahmadi; Jan Egger (SoftwareX, 2023)

3D-COSI 3D Collection of Surgical Instruments. - Gijs Luijten; Christina Gsaxner; Jianning Li 002; Antonio Pepe 003; Narmada Ambigapathy; Moon Kim 002; Xiaojun Chen 003; Jens Kleesiek; Frank Hölzle; Behrus Puladi; Jan Egger (Zenodo, 2023)

3D-COSI 3D Collection of Surgical Instruments. - Gijs Luijten; Christina Gsaxner; Jianning Li 002; Antonio Pepe 003; Narmada Ambigapathy; Moon Kim 002; Xiaojun Chen 003; Jens Kleesiek; Frank Hölzle; Behrus Puladi; Jan Egger (Zenodo, 2023)

Accuracy of on-site teleoperated milling with haptic assistance. - Sergey Drobinsky; Matías de la Fuente; Behrus Puladi; Klaus Radermacher 001 (Int. J. Comput. Assist. Radiol. Surg., 2023)

A Pipeline for the Usage of the Core Data Set of the Medical Informatics Initiative for Process Mining - A Technical Case Report. - Hauke Heidemeyer; Leo Auhagen; Raphael W. Majeed; Marco Pegoraro 001; Jonas Bienzeisler; Viki Peeva; Harry H. Beyel; Rainer Röhrig; Wil M. P. van der Aalst; Behrus Puladi (GMDS, 2024)

Generalisation of Segmentation Using Generative Adversarial Networks. - André Ferreira; Gijs Luijten; Behrus Puladi; Jens Kleesiek; Victor Alves; Jan Egger (ISBI, 2024)

A Baseline Solution for the ISBI 2024 Dreaming Challenge. - Timo Van Meegdenburg; Gijs Luijten; Jens Kleesiek; Behrus Puladi; André Ferreira; Jan Egger; Christina Gsaxner (ISBI, 2024)

Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-Guided Radiotherapy. - Nikoo Moradi; André Ferreira; Behrus Puladi; Jens Kleesiek; Emad Fatemizadeh; Gijs Luijten; Victor Alves; Jan Egger (HNTS-MRG@MICCAI, 2024)

Beating the Clock: A Prediction Model for Timely Care in Emergency Departments. - Jonas Bienzeisler; Wiliam Hoy; Alexander Kombeiz; Mohamed Alhaskir; Rainer Röhrig; Raphael W. Majeed; Jenny Unterkofler; Behrus Puladi (MIE, 2024)

ChatGPT in healthcare: A taxonomy and systematic review. - Jianning Li 002; Amin Dada; Behrus Puladi; Jens Kleesiek; Jan Egger (Comput. Methods Programs Biomed., 2024)

Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images. - Johannes Raufeisen; Kunpeng Xie; Fabian Hörst; Till Braunschweig; Jianning Li 002; Jens Kleesiek; Rainer Röhrig; Jan Egger; Bastian Leibe; Frank Hölzle; Alexander Hermans; Behrus Puladi (Comput. Methods Programs Biomed., 2024)

Deep PCCT: Photon Counting Computed Tomography Deep Learning Applications Review. - Ana Carolina Alves; André Ferreira; Gijs Luijten; Jens Kleesiek; Behrus Puladi; Jan Egger; Victor Alves (CoRR, 2024)

An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs. - Patrick Wienholt; Alexander Hermans; Firas Khader; Behrus Puladi; Bastian Leibe; Christiane Kuhl; Sven Nebelung; Daniel Truhn (CoRR, 2024)

Navigating the Peril of Generated Alternative Facts: A ChatGPT-4 Fabricated Omega Variant Case as a Cautionary Tale in Medical Misinformation. - Malik Sallam; Jan Egger; Rainer Röhrig; Behrus Puladi (CoRR, 2024)

A Semi-automatic Cranial Implant Design Tool Based on Rigid ICP Template Alignment and Voxel Space Reconstruction. - Michael Lackner; Behrus Puladi; Jens Kleesiek; Jan Egger; Jianning Li 002 (CoRR, 2024)

Deep Dive into MRI: Exploring Deep Learning Applications in 0.55T and 7T MRI. - Ana Carolina Alves; André Ferreira; Behrus Puladi; Jan Egger; Victor Alves (CoRR, 2024)

Brain Tumour Removing and Missing Modality Generation using 3D WDM. - André Ferreira; Gijs Luijten; Behrus Puladi; Jens Kleesiek; Victor Alves; Jan Egger (CoRR, 2024)

Improved Multi-Task Brain Tumour Segmentation with Synthetic Data Augmentation. - André Ferreira; Tiago Jesus; Behrus Puladi; Jens Kleesiek; Victor Alves; Jan Egger (CoRR, 2024)

Efficient MedSAMs: Segment Anything in Medical Images on Laptop. - Jun Ma 016; Feifei Li 010; Sumin Kim; Reza Asakereh; Bao-Hiep Le; Dang-Khoa Nguyen-Vu; Alexander Pfefferle; Muxin Wei; Ruochen Gao; Donghang Lyu; Songxiao Yang; Lennart Purucker; et al. (CoRR, 2024)

Accuracy and Precision of Mandible Segmentation and Its Clinical Implications: Virtual Reality, Desktop Screen and Artificial Intelligence. - Lennart Johannes Gruber; Jan Egger; Andrea Bönsch; Joep Kraeima; Max Ulbrich; Vincent van den Bosch; Ila Motmaen; Caroline Wilpert; Mark Ooms; Peter Isfort; Frank Hölzle; Behrus Puladi (Expert Syst. Appl., 2024)

Accuracy and efficiency of drilling trajectories with augmented reality versus conventional navigation randomized crossover trial. - Yao Li; Sergey Drobinsky; Paulina Becker; Kunpeng Xie; Myriam Lipprandt; Christian Andreas Mueller; Jan Egger; Frank Hölzle; Rainer Röhrig; Klaus Radermacher 001; Matías de la Fuente; Behrus Puladi (npj Digit. Medicine, 2024)

DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Dataset. - Christina Gsaxner; Timo Van Meegdenburg; Gijs Luijten; Viet Duc Vu; Behrus Puladi; Jan Egger (Zenodo, 2024)

DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Dataset. - Christina Gsaxner; Timo Van Meegdenburg; Gijs Luijten; Viet Duc Vu; Behrus Puladi; Jan Egger (Zenodo, 2024)

DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Dataset. - Christina Gsaxner; Timo Van Meegdenburg; Gijs Luijten; Viet Duc Vu; Behrus Puladi; Jan Egger (Zenodo, 2024)

CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images. - Johannes Raufeisen; Kunpeng Xie; Fabian Hörst; Till Braunschweig; Jianning Li 002; Jens Kleesiek; Rainer Röhrig; Jan Egger; Bastian Leibe; Frank Hölzle; Alexander Hermans; Behrus Puladi (Zenodo, 2024)

AIxSuture: vision-based assessment of open suturing skills. - Hanna Hoffmann; Isabel Funke; Philipp Peters; Danush Kumar Venkatesh; Jan Egger; Dominik Rivoir; Rainer Röhrig; Frank Hölzle; Sebastian Bodenstedt; Marie-Christin Willemer; Stefanie Speidel; Behrus Puladi (Int. J. Comput. Assist. Radiol. Surg., 2024)

Implementation report on pioneering federated data access for the German National Emergency Department Data Registry. - Jonas Bienzeisler; Alexander Kombeiz; Saskia Ehrentreich; Ronny Otto; Wiebke Schirrmeister; Marco Pegoraro 001; Dominik Brammen; Behrus Puladi; Rainer Röhrig; Raphael W. Majeed (npj Digit. Medicine, 2025)

Beyond the Desktop: XR-Driven Segmentation with Meta Quest 3 and MX Ink. - Lisle Faray de Paiva; Gijs Luijten; Ana Sofia Ferreira Santos; Moon S. Kim 002; Behrus Puladi; Jens Kleesiek; Jan Egger (CoRR, 2025)

Enhancing Privacy: The Utility of Stand-Alone Synthetic CT and MRI for Tumor and Bone Segmentation. - André Ferreira; Kunpeng Xie; Caroline Wilpert; Gustavo Correia; Felix Barajas Ordonez; Tiago Gil Oliveira; Maike Bode; Robert Siepmann; Frank Hölzle; Rainer Röhrig; Jens Kleesiek; Daniel Truhn; et al. (CoRR, 2025)

Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo. - Yuan Jin; Antonio Pepe 003; Jianning Li 002; Christina Gsaxner; Yuxuan Chen; Behrus Puladi; Fen-hua Zhao; Kelsey L. Pomykala; Jens Kleesiek; Alejandro F. Frangi; Jan Egger (ACM Comput. Surv., 2025)