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Thomas Bengtsson
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2020 – today
- 2024
- [c3]Forest Yang, Skander Jemaa, Thomas Bengtsson, Laurent El Ghaoui:
Metastatic Lung Cancer Prognosis Via Deep Image-Based Lesion Prioritization. ISBI 2024: 1-5 - 2022
- [j5]Xiaoyong Wang, Skander Jemaa, Jill Fredrickson, Alexandre Fernandez Coimbra, Tina Nielsen, Alex de Crespigny, Thomas Bengtsson, Richard A. D. Carano:
Heart and bladder detection and segmentation on FDG PET/CT by deep learning. BMC Medical Imaging 22(1): 58 (2022) - [c2]Aliasghar Tarkhan, Trung Kien Nguyen, Noah Simon, Thomas Bengtsson, Paolo Ocampo, Jian Dai:
Attention-Based Deep Multiple Instance Learning with Adaptive Instance Sampling. ISBI 2022: 1-5 - 2021
- [c1]Aliasghar Tarkhan, Noah Simon, Thomas Bengtsson, Trung Kien Nguyen, Jian Dai:
Survival Prediction Using Deep Learning. SPACA 2021: 207-214 - 2020
- [j4]Skander Jemaa, Jill Fredrickson, Richard A. D. Carano, Tina Nielsen, Alex de Crespigny, Thomas Bengtsson:
Tumor Segmentation and Feature Extraction from Whole-Body FDG-PET/CT Using Cascaded 2D and 3D Convolutional Neural Networks. J. Digit. Imaging 33(4): 888-894 (2020)
2010 – 2019
- 2010
- [j3]Thomas Bengtsson, Tin Kam Ho, Todd Salamon, Christopher A. White:
A diagnostic tool for Raman amplification in ultra-long-haul networks. Bell Labs Tech. J. 14(4): 61-72 (2010) - [p1]Thomas Bengtsson, Todd Salamon, Tin Kam Ho, Christopher A. White:
Model-Based Anomaly Detection for a Transparent Optical Transmission System. Algorithms for Next Generation Networks 2010: 263-286
2000 – 2009
- 2009
- [j2]Tin Kam Ho, Thomas Bengtsson:
Opportunities for automated inference with data in tomorrow's communication networks and services. Bell Labs Tech. J. 14(3): 193-206 (2009) - 2006
- [j1]Thomas Bengtsson, Joseph E. Cavanaugh:
An improved Akaike information criterion for state-space model selection. Comput. Stat. Data Anal. 50(10): 2635-2654 (2006)
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