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IEEE; 2018. doi:<a href=\"https://doi.org/10.1109/iolts.2018.8474120\">10.1109/iolts.2018.8474120</a>","chicago":"Sadeghi-Kohan, Somayeh, Arash Vafaei, and Zainalabedin Navabi. “Near-Optimal Node Selection Procedure for Aging Monitor Placement.” In <i>2018 IEEE 24th International Symposium on On-Line Testing And Robust System Design (IOLTS)</i>. IEEE, 2018. <a href=\"https://doi.org/10.1109/iolts.2018.8474120\">https://doi.org/10.1109/iolts.2018.8474120</a>.","ieee":"S. Sadeghi-Kohan, A. Vafaei, and Z. Navabi, “Near-Optimal Node Selection Procedure for Aging Monitor Placement,” 2018, doi: <a href=\"https://doi.org/10.1109/iolts.2018.8474120\">10.1109/iolts.2018.8474120</a>."},"doi":"10.1109/iolts.2018.8474120","abstract":[{"text":"Transistor and interconnect wearout is accelerated with transistor scaling resulting in timing variations and consequently reliability challenges in digital circuits. With the emergence of new issues like Electro-migration these problems are getting more crucial. Age monitoring methods can be used to predict and deal with the aging problem. Selecting appropriate locations for placement of aging monitors is an important issue. In this work we propose a procedure for selection of appropriate internal nodes that expose smaller overheads to the circuit, using correlation between nodes and the shareability amongst them. To select internal nodes, we first prune some nodes based on some attributes and thus provide a near-optimal solution that can effectively get a number of internal nodes and consider the effects of electro-migration as well. We have applied our proposed scheme to several processors and ITC benchmarks and have looked at its effectiveness for these circuits.","lang":"eng"}],"extern":"1","author":[{"orcid":"https://orcid.org/0000-0001-7246-0610","id":"78614","last_name":"Sadeghi-Kohan","first_name":"Somayeh","full_name":"Sadeghi-Kohan, Somayeh"},{"first_name":"Arash","full_name":"Vafaei, Arash","last_name":"Vafaei"},{"last_name":"Navabi","first_name":"Zainalabedin","full_name":"Navabi, Zainalabedin"}],"title":"Near-Optimal Node Selection Procedure for Aging Monitor Placement","date_updated":"2023-08-02T11:36:15Z","_id":"29459","status":"public","language":[{"iso":"eng"}],"year":"2018","type":"conference","publisher":"IEEE","date_created":"2022-01-19T13:35:37Z","publication":"2018 IEEE 24th International Symposium on On-Line Testing And Robust System Design (IOLTS)"},{"abstract":[{"text":"In this paper, we present a monolithically integrated coherent receiver with on-chip grating couplers, 90° hybrid, photodiodes and transimpedance amplifiers. A transimpedance gain of 7.7 kΩ was achieved by the amplifiers. An opto-electrical 3 dB bandwidth of 34 GHz for in-phase and quadrature channel was measured. A real-time data transmission of 64 GBd-QPSK (128 Gb/s) for a single polarization was performed.","lang":"eng"}],"doi":"10.1109/JLT.2018.2881107","title":"Coherent ePIC Receiver for 64 GBaud QPSK in 0.25μm Photonic BiCMOS Technology","author":[{"first_name":"Sergiy","full_name":"Gudyriev, Sergiy","last_name":"Gudyriev"},{"id":"13256","last_name":"Kress","first_name":"Christian","full_name":"Kress, Christian"},{"first_name":"Heiner","full_name":"Zwickel, Heiner","last_name":"Zwickel"},{"last_name":"Kemal","full_name":"Kemal, Juned N.","first_name":"Juned N."},{"full_name":"Lischke, Stefan","first_name":"Stefan","last_name":"Lischke"},{"first_name":"Lars","full_name":"Zimmermann, Lars","last_name":"Zimmermann"},{"last_name":"Koos","full_name":"Koos, Christian","first_name":"Christian"},{"last_name":"Scheytt","id":"37144","full_name":"Scheytt, Christoph","first_name":"Christoph","orcid":"https://orcid.org/0000-0002-5950-6618"}],"department":[{"_id":"58"},{"_id":"230"}],"citation":{"apa":"Gudyriev, S., Kress, C., Zwickel, H., Kemal, J. N., Lischke, S., Zimmermann, L., Koos, C., &#38; Scheytt, C. (2018). Coherent ePIC Receiver for 64 GBaud QPSK in 0.25μm Photonic BiCMOS Technology. <i>IEEE/OSA Journal of Lightwave Technology</i>, 1–1. <a href=\"https://doi.org/10.1109/JLT.2018.2881107\">https://doi.org/10.1109/JLT.2018.2881107</a>","ama":"Gudyriev S, Kress C, Zwickel H, et al. Coherent ePIC Receiver for 64 GBaud QPSK in 0.25μm Photonic BiCMOS Technology. In: <i>IEEE/OSA Journal of Lightwave Technology</i>. ; 2018:1-1. doi:<a href=\"https://doi.org/10.1109/JLT.2018.2881107\">10.1109/JLT.2018.2881107</a>","ieee":"S. Gudyriev <i>et al.</i>, “Coherent ePIC Receiver for 64 GBaud QPSK in 0.25μm Photonic BiCMOS Technology,” in <i>IEEE/OSA Journal of Lightwave Technology</i>, 2018, pp. 1–1, doi: <a href=\"https://doi.org/10.1109/JLT.2018.2881107\">10.1109/JLT.2018.2881107</a>.","chicago":"Gudyriev, Sergiy, Christian Kress, Heiner Zwickel, Juned N. Kemal, Stefan Lischke, Lars Zimmermann, Christian Koos, and Christoph Scheytt. “Coherent EPIC Receiver for 64 GBaud QPSK in 0.25μm Photonic BiCMOS Technology.” In <i>IEEE/OSA Journal of Lightwave Technology</i>, 1–1, 2018. <a href=\"https://doi.org/10.1109/JLT.2018.2881107\">https://doi.org/10.1109/JLT.2018.2881107</a>.","bibtex":"@inproceedings{Gudyriev_Kress_Zwickel_Kemal_Lischke_Zimmermann_Koos_Scheytt_2018, title={Coherent ePIC Receiver for 64 GBaud QPSK in 0.25μm Photonic BiCMOS Technology}, DOI={<a href=\"https://doi.org/10.1109/JLT.2018.2881107\">10.1109/JLT.2018.2881107</a>}, booktitle={IEEE/OSA Journal of Lightwave Technology}, author={Gudyriev, Sergiy and Kress, Christian and Zwickel, Heiner and Kemal, Juned N. and Lischke, Stefan and Zimmermann, Lars and Koos, Christian and Scheytt, Christoph}, year={2018}, pages={1–1} }","mla":"Gudyriev, Sergiy, et al. “Coherent EPIC Receiver for 64 GBaud QPSK in 0.25μm Photonic BiCMOS Technology.” <i>IEEE/OSA Journal of Lightwave Technology</i>, 2018, pp. 1–1, doi:<a href=\"https://doi.org/10.1109/JLT.2018.2881107\">10.1109/JLT.2018.2881107</a>.","short":"S. Gudyriev, C. Kress, H. Zwickel, J.N. Kemal, S. Lischke, L. Zimmermann, C. Koos, C. Scheytt, in: IEEE/OSA Journal of Lightwave Technology, 2018, pp. 1–1."},"user_id":"13256","language":[{"iso":"eng"}],"type":"conference","year":"2018","status":"public","related_material":{"link":[{"url":"https://www.osapublishing.org/jlt/abstract.cfm?uri=jlt-37-1-103&origin=search","relation":"confirmation"}]},"date_created":"2021-09-13T07:37:52Z","publication":"IEEE/OSA Journal of Lightwave Technology","date_updated":"2023-08-04T08:32:31Z","page":"1-1","_id":"24187"},{"date_updated":"2023-09-26T11:47:52Z","_id":"1588","file_date_updated":"2018-11-02T14:45:05Z","year":"2018","language":[{"iso":"eng"}],"status":"public","date_created":"2018-03-22T10:48:01Z","publisher":"IEEE","department":[{"_id":"27"},{"_id":"518"},{"_id":"61"}],"citation":{"apa":"Kenter, T., Mahale, G., Alhaddad, S., Grynko, Y., Schmitt, C., Afzal, A., Hannig, F., Förstner, J., &#38; Plessl, C. (2018). OpenCL-based FPGA Design to Accelerate the Nodal Discontinuous Galerkin Method for Unstructured Meshes. <i>Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM)</i>. Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM). <a href=\"https://doi.org/10.1109/FCCM.2018.00037\">https://doi.org/10.1109/FCCM.2018.00037</a>","ama":"Kenter T, Mahale G, Alhaddad S, et al. OpenCL-based FPGA Design to Accelerate the Nodal Discontinuous Galerkin Method for Unstructured Meshes. In: <i>Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM)</i>. IEEE; 2018. doi:<a href=\"https://doi.org/10.1109/FCCM.2018.00037\">10.1109/FCCM.2018.00037</a>","ieee":"T. Kenter <i>et al.</i>, “OpenCL-based FPGA Design to Accelerate the Nodal Discontinuous Galerkin Method for Unstructured Meshes,” presented at the Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM), 2018, doi: <a href=\"https://doi.org/10.1109/FCCM.2018.00037\">10.1109/FCCM.2018.00037</a>.","chicago":"Kenter, Tobias, Gopinath Mahale, Samer Alhaddad, Yevgen Grynko, Christian Schmitt, Ayesha Afzal, Frank Hannig, Jens Förstner, and Christian Plessl. “OpenCL-Based FPGA Design to Accelerate the Nodal Discontinuous Galerkin Method for Unstructured Meshes.” In <i>Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM)</i>. IEEE, 2018. <a href=\"https://doi.org/10.1109/FCCM.2018.00037\">https://doi.org/10.1109/FCCM.2018.00037</a>.","bibtex":"@inproceedings{Kenter_Mahale_Alhaddad_Grynko_Schmitt_Afzal_Hannig_Förstner_Plessl_2018, title={OpenCL-based FPGA Design to Accelerate the Nodal Discontinuous Galerkin Method for Unstructured Meshes}, DOI={<a href=\"https://doi.org/10.1109/FCCM.2018.00037\">10.1109/FCCM.2018.00037</a>}, booktitle={Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM)}, publisher={IEEE}, author={Kenter, Tobias and Mahale, Gopinath and Alhaddad, Samer and Grynko, Yevgen and Schmitt, Christian and Afzal, Ayesha and Hannig, Frank and Förstner, Jens and Plessl, Christian}, year={2018} }","mla":"Kenter, Tobias, et al. “OpenCL-Based FPGA Design to Accelerate the Nodal Discontinuous Galerkin Method for Unstructured Meshes.” <i>Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM)</i>, IEEE, 2018, doi:<a href=\"https://doi.org/10.1109/FCCM.2018.00037\">10.1109/FCCM.2018.00037</a>.","short":"T. Kenter, G. Mahale, S. Alhaddad, Y. Grynko, C. Schmitt, A. Afzal, F. Hannig, J. Förstner, C. Plessl, in: Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM), IEEE, 2018."},"conference":{"name":"Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM)"},"author":[{"full_name":"Kenter, Tobias","first_name":"Tobias","id":"3145","last_name":"Kenter"},{"first_name":"Gopinath","full_name":"Mahale, Gopinath","last_name":"Mahale"},{"full_name":"Alhaddad, Samer","first_name":"Samer","last_name":"Alhaddad","id":"42456"},{"full_name":"Grynko, Yevgen","first_name":"Yevgen","last_name":"Grynko","id":"26059"},{"last_name":"Schmitt","full_name":"Schmitt, Christian","first_name":"Christian"},{"last_name":"Afzal","first_name":"Ayesha","full_name":"Afzal, Ayesha"},{"full_name":"Hannig, Frank","first_name":"Frank","last_name":"Hannig"},{"orcid":"0000-0001-7059-9862","id":"158","last_name":"Förstner","full_name":"Förstner, Jens","first_name":"Jens"},{"full_name":"Plessl, Christian","first_name":"Christian","last_name":"Plessl","id":"16153","orcid":"0000-0001-5728-9982"}],"type":"conference","quality_controlled":"1","ddc":["000"],"publication":"Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM)","user_id":"15278","keyword":["tet_topic_hpc"],"project":[{"name":"HighPerMeshes","_id":"33","grant_number":"01|H16005A"},{"_id":"1","name":"SFB 901","grant_number":"160364472"},{"_id":"4","name":"SFB 901 - Project Area C"},{"name":"SFB 901 - Subproject C2","_id":"14","grant_number":"160364472"}],"doi":"10.1109/FCCM.2018.00037","has_accepted_license":"1","abstract":[{"text":"The exploration of FPGAs as accelerators for scientific simulations has so far mostly been focused on small kernels of methods working on regular data structures, for example in the form of stencil computations for finite difference methods. In computational sciences, often more advanced methods are employed that promise better stability, convergence, locality and scaling. Unstructured meshes are shown to be more effective and more accurate, compared to regular grids, in representing computation domains of various shapes. Using unstructured meshes, the discontinuous Galerkin method preserves the ability to perform explicit local update operations for simulations in the time domain. In this work, we investigate FPGAs as target platform for an implementation of the nodal discontinuous Galerkin method to find time-domain solutions of Maxwell's equations in an unstructured mesh. When maximizing data reuse and fitting constant coefficients into suitably partitioned on-chip memory, high computational intensity allows us to implement and feed wide data paths with hundreds of floating point operators. By decoupling off-chip memory accesses from the computations, high memory bandwidth can be sustained, even for the irregular access pattern required by parts of the application. Using the Intel/Altera OpenCL SDK for FPGAs, we present different implementation variants for different polynomial orders of the method. In different phases of the algorithm, either computational or bandwidth limits of the Arria 10 platform are almost reached, thus outperforming a highly multithreaded CPU implementation by around 2x.","lang":"eng"}],"title":"OpenCL-based FPGA Design to Accelerate the Nodal Discontinuous Galerkin Method for Unstructured Meshes","file":[{"relation":"main_file","date_updated":"2018-11-02T14:45:05Z","success":1,"file_size":269130,"file_name":"08457652.pdf","creator":"ups","date_created":"2018-11-02T14:45:05Z","file_id":"5282","access_level":"closed","content_type":"application/pdf"}]},{"_id":"57224","page":"93-110","volume":103,"date_updated":"2025-01-22T15:39:05Z","publication":"Robotics and Autonomous Systems","date_created":"2024-11-19T10:39:56Z","publisher":"Elsevier BV","publication_identifier":{"issn":["0921-8890"]},"year":"2018","type":"journal_article","language":[{"iso":"eng"}],"status":"public","citation":{"ama":"Mujahed M, Fischer D, Mertsching B. Admissible gap navigation: A new collision avoidance approach. <i>Robotics and Autonomous Systems</i>. 2018;103:93-110. doi:<a href=\"https://doi.org/10.1016/j.robot.2018.02.008\">10.1016/j.robot.2018.02.008</a>","apa":"Mujahed, M., Fischer, D., &#38; Mertsching, B. (2018). Admissible gap navigation: A new collision avoidance approach. <i>Robotics and Autonomous Systems</i>, <i>103</i>, 93–110. <a href=\"https://doi.org/10.1016/j.robot.2018.02.008\">https://doi.org/10.1016/j.robot.2018.02.008</a>","chicago":"Mujahed, Muhannad, Dirk Fischer, and Bärbel Mertsching. “Admissible Gap Navigation: A New Collision Avoidance Approach.” <i>Robotics and Autonomous Systems</i> 103 (2018): 93–110. <a href=\"https://doi.org/10.1016/j.robot.2018.02.008\">https://doi.org/10.1016/j.robot.2018.02.008</a>.","ieee":"M. Mujahed, D. Fischer, and B. Mertsching, “Admissible gap navigation: A new collision avoidance approach,” <i>Robotics and Autonomous Systems</i>, vol. 103, pp. 93–110, 2018, doi: <a href=\"https://doi.org/10.1016/j.robot.2018.02.008\">10.1016/j.robot.2018.02.008</a>.","mla":"Mujahed, Muhannad, et al. “Admissible Gap Navigation: A New Collision Avoidance Approach.” <i>Robotics and Autonomous Systems</i>, vol. 103, Elsevier BV, 2018, pp. 93–110, doi:<a href=\"https://doi.org/10.1016/j.robot.2018.02.008\">10.1016/j.robot.2018.02.008</a>.","bibtex":"@article{Mujahed_Fischer_Mertsching_2018, title={Admissible gap navigation: A new collision avoidance approach}, volume={103}, DOI={<a href=\"https://doi.org/10.1016/j.robot.2018.02.008\">10.1016/j.robot.2018.02.008</a>}, journal={Robotics and Autonomous Systems}, publisher={Elsevier BV}, author={Mujahed, Muhannad and Fischer, Dirk and Mertsching, Bärbel}, year={2018}, pages={93–110} }","short":"M. Mujahed, D. Fischer, B. Mertsching, Robotics and Autonomous Systems 103 (2018) 93–110."},"user_id":"15357","publication_status":"published","department":[{"_id":"50"}],"title":"Admissible gap navigation: A new collision avoidance approach","author":[{"last_name":"Mujahed","full_name":"Mujahed, Muhannad","first_name":"Muhannad"},{"orcid":"0000-0002-0792-6370","last_name":"Fischer","id":"15357","first_name":"Dirk","full_name":"Fischer, Dirk"},{"last_name":"Mertsching","first_name":"Bärbel","full_name":"Mertsching, Bärbel"}],"doi":"10.1016/j.robot.2018.02.008","intvolume":"       103"},{"doi":"10.1117/12.2292032","title":"Brain tissue analysis using texture features based on optical coherence tomography images","author":[{"last_name":"Hofmann","first_name":"Martin R.","full_name":"Hofmann, Martin R."},{"last_name":"Lenz","first_name":"Marcel","full_name":"Lenz, Marcel"},{"last_name":"Krug","first_name":"Robin","full_name":"Krug, Robin"},{"orcid":"0009-0002-5538-231X","id":"115298","last_name":"Gerhardt","first_name":"Nils Christopher","full_name":"Gerhardt, Nils Christopher"},{"last_name":"Schmieder","full_name":"Schmieder, Kirsten","first_name":"Kirsten"},{"last_name":"Dillmann","first_name":"Christopher","full_name":"Dillmann, Christopher"},{"last_name":"Welp","full_name":"Welp, Hubert","first_name":"Hubert"}],"department":[{"_id":"977"}],"citation":{"chicago":"Hofmann, Martin R., Marcel Lenz, Robin Krug, Nils Christopher Gerhardt, Kirsten Schmieder, Christopher Dillmann, and Hubert Welp. “Brain Tissue Analysis Using Texture Features Based on Optical Coherence Tomography Images.” In <i>Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXII</i>, 2018. <a href=\"https://doi.org/10.1117/12.2292032\">https://doi.org/10.1117/12.2292032</a>.","ieee":"M. R. Hofmann <i>et al.</i>, “Brain tissue analysis using texture features based on optical coherence tomography images,” 2018, doi: <a href=\"https://doi.org/10.1117/12.2292032\">10.1117/12.2292032</a>.","ama":"Hofmann MR, Lenz M, Krug R, et al. Brain tissue analysis using texture features based on optical coherence tomography images. In: <i>Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXII</i>. ; 2018. doi:<a href=\"https://doi.org/10.1117/12.2292032\">10.1117/12.2292032</a>","apa":"Hofmann, M. R., Lenz, M., Krug, R., Gerhardt, N. C., Schmieder, K., Dillmann, C., &#38; Welp, H. (2018). Brain tissue analysis using texture features based on optical coherence tomography images. <i>Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXII</i>. <a href=\"https://doi.org/10.1117/12.2292032\">https://doi.org/10.1117/12.2292032</a>","short":"M.R. Hofmann, M. Lenz, R. Krug, N.C. Gerhardt, K. Schmieder, C. Dillmann, H. Welp, in: Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXII, 2018.","mla":"Hofmann, Martin R., et al. “Brain Tissue Analysis Using Texture Features Based on Optical Coherence Tomography Images.” <i>Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXII</i>, 2018, doi:<a href=\"https://doi.org/10.1117/12.2292032\">10.1117/12.2292032</a>.","bibtex":"@inproceedings{Hofmann_Lenz_Krug_Gerhardt_Schmieder_Dillmann_Welp_2018, title={Brain tissue analysis using texture features based on optical coherence tomography images}, DOI={<a href=\"https://doi.org/10.1117/12.2292032\">10.1117/12.2292032</a>}, booktitle={Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXII}, author={Hofmann, Martin R. and Lenz, Marcel and Krug, Robin and Gerhardt, Nils Christopher and Schmieder, Kirsten and Dillmann, Christopher and Welp, Hubert}, year={2018} }"},"user_id":"15911","language":[{"iso":"eng"}],"type":"conference","year":"2018","status":"public","date_created":"2026-02-20T10:04:04Z","publication":"Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXII","date_updated":"2026-02-25T13:45:03Z","_id":"64371"},{"date_updated":"2026-02-25T13:45:18Z","_id":"64372","status":"public","language":[{"iso":"eng"}],"type":"conference","year":"2018","date_created":"2026-02-20T10:04:04Z","publication":"Optics, Photonics, and Digital Technologies for Imaging Applications V","department":[{"_id":"977"}],"user_id":"15911","citation":{"ama":"Lenz M, Krug R, Gerhardt NC, et al. Classification of brain tissue with optical coherence tomography by employing texture analysis. In: <i>Optics, Photonics, and Digital Technologies for Imaging Applications V</i>. ; 2018. doi:<a href=\"https://doi.org/10.1117/12.2307701\">10.1117/12.2307701</a>","apa":"Lenz, M., Krug, R., Gerhardt, N. C., Schmieder, K., Hofmann, M. R., Dillmann, C., &#38; Welp, H. (2018). Classification of brain tissue with optical coherence tomography by employing texture analysis. <i>Optics, Photonics, and Digital Technologies for Imaging Applications V</i>. <a href=\"https://doi.org/10.1117/12.2307701\">https://doi.org/10.1117/12.2307701</a>","ieee":"M. Lenz <i>et al.</i>, “Classification of brain tissue with optical coherence tomography by employing texture analysis,” 2018, doi: <a href=\"https://doi.org/10.1117/12.2307701\">10.1117/12.2307701</a>.","chicago":"Lenz, Marcel, Robin Krug, Nils Christopher Gerhardt, Kirsten Schmieder, Martin R. Hofmann, Christopher Dillmann, and Hubert Welp. “Classification of Brain Tissue with Optical Coherence Tomography by Employing Texture Analysis.” In <i>Optics, Photonics, and Digital Technologies for Imaging Applications V</i>, 2018. <a href=\"https://doi.org/10.1117/12.2307701\">https://doi.org/10.1117/12.2307701</a>.","bibtex":"@inproceedings{Lenz_Krug_Gerhardt_Schmieder_Hofmann_Dillmann_Welp_2018, title={Classification of brain tissue with optical coherence tomography by employing texture analysis}, DOI={<a href=\"https://doi.org/10.1117/12.2307701\">10.1117/12.2307701</a>}, booktitle={Optics, Photonics, and Digital Technologies for Imaging Applications V}, author={Lenz, Marcel and Krug, Robin and Gerhardt, Nils Christopher and Schmieder, Kirsten and Hofmann, Martin R. and Dillmann, Christopher and Welp, Hubert}, year={2018} }","mla":"Lenz, Marcel, et al. “Classification of Brain Tissue with Optical Coherence Tomography by Employing Texture Analysis.” <i>Optics, Photonics, and Digital Technologies for Imaging Applications V</i>, 2018, doi:<a href=\"https://doi.org/10.1117/12.2307701\">10.1117/12.2307701</a>.","short":"M. 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