Metastatic Lung Cancer Prognosis Via Deep Image-Based Lesion Prioritization - Forest Yang; Skander Jemaa; Thomas Bengtsson; Laurent El Ghaoui (IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, May 27-30, 2024, 2024)

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)

Attention-Based Deep Multiple Instance Learning with Adaptive Instance Sampling - Aliasghar Tarkhan; Trung Kien Nguyen; Noah Simon; Thomas Bengtsson; Paolo Ocampo; Jian Dai (19th IEEE International Symposium on Biomedical Imaging, ISBI 2022, Kolkata, India, March 28-31, 2022, 2022)

Survival Prediction Using Deep Learning - Aliasghar Tarkhan; Noah Simon; Thomas Bengtsson; Trung Kien Nguyen; Jian Dai (Proceedings of AAAI Symposium on Survival Prediction - Algorithms, Challenges and Applications, SPACA 2021, Stanford University, Palo Alto, CA, USA, March 22-24, 2021, 2021)

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)

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)

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

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