An improved Akaike information criterion for state-space model selection. - Thomas Bengtsson; Joseph E. Cavanaugh (Comput. Stat. Data Anal., 2006)

Opportunities for automated inference with data in tomorrow's communication networks and services. - Tin Kam Ho; Thomas Bengtsson (Bell Labs Tech. J., 2009)

A diagnostic tool for Raman amplification in ultra-long-haul networks. - Thomas Bengtsson; Tin Kam Ho; Todd Salamon; Christopher A. White (Bell Labs Tech. J., 2010)

Model-Based Anomaly Detection for a Transparent Optical Transmission System. - Thomas Bengtsson; Todd Salamon; Tin Kam Ho; Christopher A. White (Algorithms for Next Generation Networks, 2010)

Tumor Segmentation and Feature Extraction from Whole-Body FDG-PET/CT Using Cascaded 2D and 3D Convolutional Neural Networks. - Skander Jemaa; Jill Fredrickson; Richard A. D. Carano; Tina Nielsen; Alex de Crespigny; Thomas Bengtsson (J. Digit. Imaging, 2020)

Survival Prediction Using Deep Learning. - Aliasghar Tarkhan; Noah Simon; Thomas Bengtsson; Trung Kien Nguyen; Jian Dai (SPACA, 2021)

Attention-Based Deep Multiple Instance Learning with Adaptive Instance Sampling. - Aliasghar Tarkhan; Trung Kien Nguyen; Noah Simon; Thomas Bengtsson; Paolo Ocampo; Jian Dai (ISBI, 2022)

Heart and bladder detection and segmentation on FDG PET/CT by deep learning. - Xiaoyong Wang; Skander Jemaa; Jill Fredrickson; Alexandre Fernandez Coimbra; Tina Nielsen; Alex de Crespigny; Thomas Bengtsson; Richard A. D. Carano (BMC Medical Imaging, 2022)

Metastatic Lung Cancer Prognosis Via Deep Image-Based Lesion Prioritization. - Forest Yang; Skander Jemaa; Thomas Bengtsson; Laurent El Ghaoui (ISBI, 2024)