Probabilistic View-based 3D Curve Skeleton Computation on the GPU. - Jacek Kustra; Andrei C. Jalba; Alexandru C. Telea (VISAPP (2), 2013)

Surface and Curve Skeletonization of Large 3D Models on the GPU. - Andrei C. Jalba; Jacek Kustra; Alexandru C. Telea (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Teeth shape modeling pipeline for oral healthcare appliances development. - Jacek Kustra; Marko de Jager; Andrei C. Jalba; Alexandru C. Telea (ICCE, 2014)

A medial point cloud based algorithm for dental cast segmentation. - Jacek Kustra; Marko de Jager; Andrei C. Jalba; Alexandru C. Telea (ICCE, 2014)

Shape Segmentation using Medial Point Clouds with Applications to Dental Cast Analysis. - Jacek Kustra; Andrei C. Jalba; Alexandru C. Telea (VISAPP (3), 2014)

Robust Segmentation of Multiple Intersecting Manifolds from Unoriented Noisy Point Clouds. - Jacek Kustra; Andrei C. Jalba; Alexandru C. Telea (Comput. Graph. Forum, 2014)

Structuring 3D Medial Skeletons: A Comparative Study. - Thomas Delamé; Jacek Kustra; Alexandru C. Telea (VMV, 2016)

Computing refined skeletal features from medial point clouds. - Jacek Kustra; Andrei C. Jalba; Alexandru C. Telea (Pattern Recognit. Lett., 2016)

Improving Support Vector Machines Performance Using Local Search. - Sergio Consoli; Jacek Kustra; Pieter C. Vos; Monique Hendriks; Dimitrios Mavroeidis (MOD, 2017)

Towards an automated method based on Iterated Local Search optimization for tuning the parameters of Support Vector Machines. - Sergio Consoli; Jacek Kustra; Pieter C. Vos; Monique Hendriks; Dimitrios Mavroeidis (CoRR, 2017)

Improving Clinical Subjects Clustering by Learning and Optimizing Feature Weights. - Sergio Consoli; Monique Hendriks; Pieter C. Vos; Jacek Kustra; Dimitrios Mavroeidis; Ralf Hoffmann (LOD, 2018)

Data Science in Healthcare: Benefits, Challenges and Opportunities. - Ziawasch Abedjan; Nozha Boujemaa; Stuart Campbell 002; Patricia Casla; Supriyo Chatterjea; Sergio Consoli; Cristóbal Costa Soria; Paul Czech; Marija Despenic; Chiara Garattini; Dirk Hamelinck; Adrienne Heinrich; et al. (Data Science for Healthcare, 2019)

Data Visualization in Clinical Practice. - Monique Hendriks; Charalampos Xanthopoulakis; Pieter C. Vos; Sergio Consoli; Jacek Kustra (Data Science for Healthcare, 2019)

Visual Analytics for Classifier Construction and Evaluation for Medical Data. - Jacek Kustra; Alexandru C. Telea (Data Science for Healthcare, 2019)

Find the Assembly Mistakes: Error Segmentation for Industrial Applications. - Dan Lehman; Tim J. Schoonbeek; Shao-Hsuan Hung; Jacek Kustra; Peter H. N. de With; Fons van der Sommen (ECCV Workshops (4), 2024)

Supervised Representation Learning Towards Generalizable Assembly State Recognition. - Tim J. Schoonbeek; Goutham Balachandran; Hans Onvlee; Tim Houben; Shao-Hsuan Hung; Jacek Kustra; Peter H. N. de With; Fons van der Sommen (IEEE Robotics Autom. Lett., 2024)