Computational Electromagnetics and Parallel Dense Matrix Computations. - Kimmo Forsman; William Gropp; Lauri Kettunen; David Levine (PP, 1995)

Parallel computation of three-dimensional nonlinear magnetostatic problems. - David Levine; William Gropp; Kimmo Forsman; Lauri Kettunen (Concurr. Pract. Exp., 1999)

A programming interface to the Riemannian manifold in a finite element environment. - M. Pellikka; T. Tarhasaari; S. Suuriniemi; Lauri Kettunen (J. Comput. Appl. Math., 2013)

How can we deal with moving objects on a fixed mesh? - Ville Räisänen; Stefan Kurz; S. Suuriniemi; T. Tarhasaari; Lauri Kettunen (J. Comput. Appl. Math., 2013)

Homology and Cohomology Computation in Finite Element Modeling. - M. Pellikka; S. Suuriniemi; Lauri Kettunen; Christophe Geuzaine (SIAM J. Sci. Comput., 2013)

Nonrecursive fixed-interval smoothing-based approach to attitude estimation. - Tuukka Nieminen; Jari Kangas 001; Saku Suuriniemi; Lauri Kettunen (IEEE Trans. Aerosp. Electron. Syst., 2014)

Structural Development of Substance in Engineering Education: Method of Cornerstones. - Aki Korpela; Timo Tarhasaari; Lauri Kettunen; Risto Mikkonen; Hanna Kinnari-Korpela (ICL (1), 2016)

Pothole detection and tracking in car video sequence. - Ionut Schiopu; Jukka P. Saarinen; Lauri Kettunen; Ioan Tabus (TSP, 2016)

Structure-preserving mesh coupling based on the Buffa-Christiansen complex. - Ossi Niemimäki; Stefan Kurz; Lauri Kettunen (Math. Comput., 2017)

Systematisation of Systems Solving Physics Boundary Value Problems. - Tuomo Rossi; Jukka Räbinä; Sanna Mönkölä; Sampsa Kiiskinen; Jonni Lohi; Lauri Kettunen (ENUMATH, 2019)

LightSleepNet: A Lightweight Deep Model for Rapid Sleep Stage Classification with Spectrograms. - Dongdong Zhou; Qi Xu; Jian Wang 112; Jiacheng Zhang; Guoqiang Hu; Lauri Kettunen; Zheng Chang 001; Fengyu Cong (EMBC, 2021)

Whitney forms and their extensions. - Jonni Lohi; Lauri Kettunen (J. Comput. Appl. Math., 2021)

Low-Dose Mouse Micro-CT Image Segmentation Based on Multi-Resolution Multi-Organ Shape Prior Knowledge Model. - Zhonghua Chen; Hongkai Wang; Fengyu Cong; Lauri Kettunen (CIPAE, 2022)

Convolutional Neural Network Based Sleep Stage Classification with Class Imbalance. - Qi Xu; Dongdong Zhou; Jian Wang 112; Jiangrong Shen; Lauri Kettunen; Fengyu Cong (IJCNN, 2022)

SingleChannelNet: A model for automatic sleep stage classification with raw single-channel EEG. - Dongdong Zhou; Jian Wang 112; Guoqiang Hu; Jiacheng Zhang; Fan Li; Rui Yan 003; Lauri Kettunen; Zheng Chang 001; Qi Xu; Fengyu Cong (Biomed. Signal Process. Control., 2022)

AnatomySketch: An Extensible Open-Source Software Platform for Medical Image Analysis Algorithm Development. - Mingrui Zhuang; Zhonghua Chen; Hongkai Wang; Hong Tang; Jiang He; Bobo Qin; Yuxin Yang; Xiaoxian Jin; Mengzhu Yu; Baitao Jin; Taijing Li; Lauri Kettunen (J. Digit. Imaging, 2022)

Propulsion Calculated by Force and Displacement of Center of Mass in Treadmill Cross-Country Skiing. - Shuang Zhao; Olli Ohtonen; Keijo Ruotsalainen; Lauri Kettunen; Stefan Lindinger; Caroline Göpfert; Vesa Linnamo (Sensors, 2022)

Alleviating Class Imbalance Problem in Automatic Sleep Stage Classification. - Dongdong Zhou; Qi Xu; Jian Wang 112; Hongming Xu 002; Lauri Kettunen; Zheng Chang 001; Fengyu Cong (IEEE Trans. Instrum. Meas., 2022)

Novel Efficient Scalable QCA XOR and Full Adder Designs. - Behrouz Safaiezadeh; Majid Haghparast; Lauri Kettunen (CoRR, 2023)

Novel qutrit circuit design for multiplexer, De-multiplexer, and decoder. - Asma Taheri Monfared; Valentina Ciriani; Lauri Kettunen; Majid Haghparast (Quantum Inf. Process., 2023)

Efficient contour-based annotation by iterative deep learning for organ segmentation from volumetric medical images. - Mingrui Zhuang; Zhonghua Chen; Hongkai Wang; Hong Tang; Jiang He; Bobo Qin; Yuxin Yang; Xiaoxian Jin; Mengzhu Yu; Baitao Jin; Taijing Li; Lauri Kettunen (Int. J. Comput. Assist. Radiol. Surg., 2023)

Novel high-performance QCA Fredkin gate and designing scalable QCA binary to gray and vice versa. - Behrouz Safaiezadeh; Lauri Kettunen; Majid Haghparast (J. Supercomput., 2023)

Reproducing Predictive Learning Analytics in CS1: Toward Generalizable and Explainable Models for Enhancing Student Retention. - Denis Zhidkikh; Ville Heilala; Charlotte Van Petegem; Peter Dawyndt; Miitta Järvinen; Sami Viitanen; Bram de Wever; Bart Mesuere; Vesa Lappalainen; Lauri Kettunen; Raija Hämäläinen (J. Learn. Anal., 2024)

Interpretable Sleep Stage Classification Based on Layer-Wise Relevance Propagation. - Dongdong Zhou; Qi Xu; Jiacheng Zhang; Lei Wu; Hongming Xu 002; Lauri Kettunen; Zheng Chang 001; Qiang Zhang 008; Fengyu Cong (IEEE Trans. Instrum. Meas., 2024)

Two-stage multi-task deep learning framework for simultaneous pelvic bone segmentation and landmark detection from CT images. - Haoyu Zhai; Zhonghua Chen; Lei Li; Hairong Tao; Jinwu Wang; Kang Li; Moyu Shao; Xiaomin Cheng; Jing Wang; Xiang Wu; Chuan Wu; Xiao Zhang; et al. (Int. J. Comput. Assist. Radiol. Surg., 2024)

Annotation-efficient training of medical image segmentation network based on scribble guidance in difficult areas. - Mingrui Zhuang; Zhonghua Chen; Yuxin Yang; Lauri Kettunen; Hongkai Wang (Int. J. Comput. Assist. Radiol. Surg., 2024)