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

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

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

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

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

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

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

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

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