Alexander Valentinitsch

Software Competence Center Hagenberg (Austria) — Austria

Engineering · Physical Sciences

19h-index1.5kcitations49works0.32yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Medical Imaging and Analysis(13), Radiomics and Machine Learning in Medical Imaging(11), Dental Radiography and Imaging(9), Bone health and osteoporosis research(8), Medical Imaging Techniques and Applications(7)

Publications49 total

Operator-Theoretic Framework for Gradient-Free Federated Learning
arXiv (Cornell University)·2025Open Access
Collaborative Trustworthy Foundation Model Framework: An Environmental Sustainability Use-Case to Detect Contamination Objects in Organic Waste Streams
Communications in computer and information science·2025
Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent
Journal of Artificial Intelligence Research·2025· 1 citedOpen Access
Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent
arXiv (Cornell University)·2024Open Access
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images
Medical Image Analysis·2021· 327 citedOpen Access
Recombinant Human BMP6 Applied Within Autologous Blood Coagulum Accelerates Bone Healing: Randomized Controlled Trial in High Tibial Osteotomy Patients
Journal of Bone and Mineral Research·2020· 37 citedOpen Access
Author response for "Recombinant human <scp>BMP6</scp> applied within Autologous Blood Coagulum accelerates bone healing: Randomized controlled trial in High Tibial Osteotomy patients"
2020
Author response for "Recombinant human <scp>BMP6</scp> applied within Autologous Blood Coagulum accelerates bone healing: Randomized controlled trial in High Tibial Osteotomy patients"
2020· 1 cited
Labeling Vertebrae with Two-dimensional Reformations of Multidetector CT Images: An Adversarial Approach for Incorporating Prior Knowledge of Spine Anatomy
Radiology Artificial Intelligence·2020· 42 citedOpen Access
VerSe: A Vertebrae Labelling and Segmentation Benchmark
arXiv (Cornell University)·2020· 27 citedOpen Access
X-ray-based quantitative osteoporosis imaging at the spine
Osteoporosis International·2019· 107 cited
Correction to: Analysis and quantification of bone healing after open wedge high tibial osteotomy
Wiener klinische Wochenschrift·2019· 2 citedOpen Access
Analysis and quantification of bone healing after open wedge high tibial osteotomy
Wiener klinische Wochenschrift·2019· 14 citedOpen Access
Opportunistic osteoporosis screening in multi-detector CT images via local classification of textures
Osteoporosis International·2019· 121 citedOpen Access
Improved prediction of incident vertebral fractures using opportunistic QCT compared to DXA
European Radiology·2019· 184 citedOpen Access
Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations.
arXiv (Cornell University)·2019· 5 citedOpen Access
Labelling Vertebrae with 2D Reformations of Multidetector CT Images: An Adversarial Approach for Incorporating Prior Knowledge of Spine Anatomy
arXiv (Cornell University)·2019Open Access
Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis
Lecture notes in computer science·2019Open Access
Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning\n of Local Spine Prior
arXiv (Cornell University)·2018· 1 citedOpen Access
Attention-Driven Deep Learning for Pathological Spine Segmentation
Lecture notes in computer science·2018· 53 citedOpen Access
page 1 of 3Next →

Frequent Co-authors

Jan S. Kirschke(16), Bjoern Menze(15), Georg Langs(12), Anjany Sekuboyina(10), Markus Rempfler(9), Janina Patsch(9), Franz Kainberger(9), F. Kainberger(8), Claus Zimmer(6), Maximilian T. Löffler(5), Giles Tetteh(5), Jan Kukačka(5), Thomas Baum(5), Stefano Trebeschi(5), Sharmila Majumdar(5), Elena Nemecek(5), Carmen Trost(5), Alexander Kolb(5), Slobodan Vukičević(5), Reinhard Windhager(5)