X-ray phase-contrast in vivo microtomography probes new aspects of Xenopus gastrulation. - Julian Moosmann; Alexey Ershov; Venera Altapova; Tilo Baumbach; Maneeshi S. Prasad; Carole LaBonne; Xianghui Xiao; Jubin Kashef; Ralf Hofmann (Nat., 2013)

Artifacts suppression in biomedical images using a guided filter. - Inna Bukreeva; Anastasia Ingacheva; Michela Fratini; Alessia Cedola; Elena Longo; Julian Moosmann; Alexey V. Buzmakov; Marina V. Chukalina (ICMV, 2020)

Abstract: Verbesserung des 2D U-Nets für die 3D Mikrotomographie mit Synchrotronstrahlung mittels Multi-Axes Fusing. - Ivo M. Baltruschat; Hanna Cwieka; Diana Krüger; Berit Zeller-Plumhoff; Frank Schlünzen; Regine Willumeit-Römer; Julian Moosmann; Philipp Heuser (Bildverarbeitung für die Medizin, 2022)

TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers. - Julian Moosmann; Marco Giordano; Christian Vogt 002; Michele Magno (AICAS, 2023)

Quantitative Evaluation of a Multi-Modal Camera Setup for Fusing Event Data with RGB Images. - Julian Moosmann; Jakub Mandula; Philipp Mayer; Luca Benini; Michele Magno (SENSORS, 2023)

Flexible and Fully Quantized Ultra-Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems. - Julian Moosmann; Hanna Müller; Nicky Zimmerman; Georg Rutishauser; Luca Benini; Michele Magno (CoRR, 2023)

Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis. - Pietro Bonazzi; Julian Moosmann; Yawei Li 001; Sizhen Bian; Michele Magno (CoRR, 2023)

VolRAFT: Volumetric Optical Flow Network for Digital Volume Correlation of Synchrotron Radiation-based Micro-CT Images of Bone-Implant Interfaces. - Tak Ming Wong; Julian Moosmann; Berit Zeller-Plumhoff (CVPR Workshops, 2024)

Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO. - Julian Moosmann; Pietro Bonazzi; Yawei Li 001; Sizhen Bian; Philipp Mayer; Luca Benini; Michele Magno (ECCV Workshops (23), 2024)

On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface. - Sizhen Bian; Pixi Kang; Julian Moosmann; Mengxi Liu; Pietro Bonazzi; Roman Rosipal; Michele Magno (ISWC, 2024)

Flexible and Fully Quantized Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems. - Julian Moosmann; Hanna Müller; Nicky Zimmerman; Georg Rutishauser; Luca Benini; Michele Magno (IEEE Access, 2024)

On-Device Training Empowered Transfer Learning For Human Activity Recognition. - Pixi Kang; Julian Moosmann; Sizhen Bian; Michele Magno (CoRR, 2024)

DSORT-MCU: Detecting Small Objects in Real-Time on Microcontroller Units. - Liam Boyle; Julian Moosmann; Nicolas Baumann; Seonyeong Heo; Michele Magno (CoRR, 2024)

LynX: An Event-Based Gesture Dataset for Egocentric Interaction in Extended Reality. - Pietro Bartoli; Varsha Jayaprakash; Julian Moosmann; Philipp Mayer; Franco Zappa; Michele Magno (IWASI, 2025)

Cutting voxel projector a new approach to construct 3D cone beam CT operator. - Vojtech Kulvait; Julian Moosmann; Georg Rose (J. Comput. Sci., 2025)

Bridging Generalization and Personalization in Wearable Human Activity Recognition via On-Device Few-Shot Learning. - Pixi Kang; Julian Moosmann; Mengxi Liu; Bo Zhou 005; Michele Magno; Paul Lukowicz; Sizhen Bian (CoRR, 2025)