Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1 to 8 of 8 entries
Sorted by: Best Match Show Resources per page
Iterative Bayesian denoising based on variance stabilization using Contourlet Transform with Sharp Frequency Localization: application to EFTEM images.

BMC biomedical engineering

Sid Ahmed S, Messali Z, Boubchir L, Bouridane A, Marco S, Messaoudi C.
PMID: 32903357
BMC Biomed Eng. 2019 Jun 13;1:13. doi: 10.1186/s42490-019-0013-0. eCollection 2019.

BACKGROUND: Due to the presence of high noise level in tomographic series of energy filtered transmission electron microscopy (EFTEM) images, alignment and 3D reconstruction steps become so difficult. To improve the alignment process which will in turn allow a...

Cite
Sid Ahmed S, Messali Z, Boubchir L, et al. Iterative Bayesian denoising based on variance stabilization using Contourlet Transform with Sharp Frequency Localization: application to EFTEM images. BMC Biomed Eng. 2019;1:13doi: 10.1186/s42490-019-0013-0.
Sid Ahmed, S., Messali, Z., Boubchir, L., Bouridane, A., Marco, S., & Messaoudi, C. (2019). Iterative Bayesian denoising based on variance stabilization using Contourlet Transform with Sharp Frequency Localization: application to EFTEM images. BMC biomedical engineering, 113. https://doi.org/10.1186/s42490-019-0013-0
Sid Ahmed, Soumia, et al. "Iterative Bayesian denoising based on variance stabilization using Contourlet Transform with Sharp Frequency Localization: application to EFTEM images." BMC biomedical engineering vol. 1 (2019): 13. doi: https://doi.org/10.1186/s42490-019-0013-0
Sid Ahmed S, Messali Z, Boubchir L, Bouridane A, Marco S, Messaoudi C. Iterative Bayesian denoising based on variance stabilization using Contourlet Transform with Sharp Frequency Localization: application to EFTEM images. BMC Biomed Eng. 2019 Jun 13;1:13. doi: 10.1186/s42490-019-0013-0. eCollection 2019. PMID: 32903357; PMCID: PMC7422512.
Copy Download .nbib Format: NLM
Platelet activation after aortic prosthetic valve surgery.

Interactive cardiovascular and thoracic surgery

Leguyader A, Watanabe R, Berbé J, Boumediene A, Cogné M, Laskar M.
PMID: 17670514
Interact Cardiovasc Thorac Surg. 2006 Feb;5(1):60-4. doi: 10.1510/icvts.2005.115733. Epub 2005 Nov 24.

OBJECTIVES: Platelet activation, which may lead to thrombus formation, is poorly understood after valve surgery when analysed by flow cytometry. It is still unclear whether platelet activation is due to the implanted prosthesis itself or to its aortic or...

Cite
Leguyader A, Watanabe R, Berbé J, et al. Platelet activation after aortic prosthetic valve surgery. Interact Cardiovasc Thorac Surg. 2005;5(1):60-4doi: 10.1510/icvts.2005.115733.
Leguyader, A., Watanabe, R., Berbé, J., Boumediene, A., Cogné, M., & Laskar, M. (2006). Platelet activation after aortic prosthetic valve surgery. Interactive cardiovascular and thoracic surgery, 5(1), 60-4. https://doi.org/10.1510/icvts.2005.115733
Leguyader, Alexandre, et al. "Platelet activation after aortic prosthetic valve surgery." Interactive cardiovascular and thoracic surgery vol. 5,1 (2006): 60-4. doi: https://doi.org/10.1510/icvts.2005.115733
Leguyader A, Watanabe R, Berbé J, Boumediene A, Cogné M, Laskar M. Platelet activation after aortic prosthetic valve surgery. Interact Cardiovasc Thorac Surg. 2006 Feb;5(1):60-4. doi: 10.1510/icvts.2005.115733. Epub 2005 Nov 24. PMID: 17670514.
Copy Download .nbib Format: NLM
Unsupervised Learning for Monaural Source Separation Using Maximization⁻Minimization Algorithm with Time⁻Frequency Deconvolution.

Sensors (Basel, Switzerland)

Woo WL, Gao B, Bouridane A, Ling BW, Chin CS.
PMID: 29702629
Sensors (Basel). 2018 Apr 27;18(5). doi: 10.3390/s18051371.

This paper presents an unsupervised learning algorithm for sparse nonnegative matrix factor time⁻frequency deconvolution with optimized fractional β-divergence. The β-divergence is a group of cost functions parametrized by a single parameter β. The Itakura⁻Saito divergence, Kullback⁻Leibler divergence and Least...

Cite
Woo WL, Gao B, Bouridane A, et al. Unsupervised Learning for Monaural Source Separation Using Maximization⁻Minimization Algorithm with Time⁻Frequency Deconvolution. Sensors (Basel). 2018;18(5)doi: 10.3390/s18051371.
Woo, W. L., Gao, B., Bouridane, A., Ling, B. W., & Chin, C. S. (2018). Unsupervised Learning for Monaural Source Separation Using Maximization⁻Minimization Algorithm with Time⁻Frequency Deconvolution. Sensors (Basel, Switzerland), 18(5), . https://doi.org/10.3390/s18051371
Woo, Wai Lok, et al. "Unsupervised Learning for Monaural Source Separation Using Maximization⁻Minimization Algorithm with Time⁻Frequency Deconvolution." Sensors (Basel, Switzerland) vol. 18,5 (2018). doi: https://doi.org/10.3390/s18051371
Woo WL, Gao B, Bouridane A, Ling BW, Chin CS. Unsupervised Learning for Monaural Source Separation Using Maximization⁻Minimization Algorithm with Time⁻Frequency Deconvolution. Sensors (Basel). 2018 Apr 27;18(5). doi: 10.3390/s18051371. PMID: 29702629; PMCID: PMC5982401.
Copy Download .nbib Format: NLM
Travel burden and clinical presentation of retinoblastoma: analysis of 1024 patients from 43 African countries and 518 patients from 40 European countries.

The British journal of ophthalmology

Fabian ID, Stacey AW, Foster A, Kivelä TT, Munier FL, Keren-Froim N, Gomel N, Cassoux N, Sagoo MS, Reddy MA, Harby LA, Zondervan M, Bascaran C, Abdallah E, Abdullahi SU, Boubacar SA, Ademola-Popoola DS, Adio A, Aghaji AE, Portabella SA, Alfa Bio AI, Ali AM, Alia DB, All-Eriksson C, Almeida AA, Alsawidi KM, Antonino R, Astbury NJ, Atsiaya R, Balaguer J, Balwierz W, Barranco H, Popovic MB, Benmiloud S, Guebessi NB, Berete RC, Biddulph SJ, Biewald EM, Blum S, Bobrova N, Boehme M, Bornfeld N, Bouda GC, Bouguila H, Boumedane A, Brichard BG, L MC, Castela G, Català-Mora J, Chantada GL, Chernodrinska VS, Chiwanga FS, Cieslik K, Comsa C, Correa Llano MG, Csóka M, Da Gama IV, Davidson A, Potter P, Desjardins L, Dragomir MD, Bruyn MD, Kettani AE, Elbahi AM, Elgalaly D, Elhaddad AM, Ali Elhassan MM, Elzembely MM, Essuman VA, Evina TGA, Fasina O, Fernández-Teijeiro A, Gandiwa M, Aldana DG, Geel JA, Gizachew Z, Gregersen PA, Guedenon KM, Hadjistilianou T, Hassan S, Hederova S, Hessissen L, Hordofa DF, Hummlen M, Husakova K, Ida R, Ilic VR, Jenkinson H, Amani Kabesha TB, Kabore RL, Kalinaki A, Kapelushnik N, Kardava T, Kemilev PK, Kepak T, Khotenashvili Z, Klett A, Kosh Komba Palet JE, Krivaitiene D, Kruger M, Kyara A, Lachmann ES, Latinović S, Lecuona K, Lukamba RM, Lumbroso L, Lysytsia L, Maka E, Makan M, Manda C, Begue NM, Matende IO, Matua M, Mayet I, Mbumba FB, Mengesha AA, Midena E, Mndeme FG, Mohamedani AA, Moll AC, Moreira C, Msina MS, Msukwa G, Muma KI, Murgoi G, Musa KO, Mustak H, Muyen OM, Naidu G, Naumenko L, Ndoye Roth PA, Neroev V, Nikitovic M, Nkanga ED, Nkumbe H, Nyaywa M, Obono-Obiang G, Oguego NC, Olechowski A, Oscar AH, Osei-Bonsu P, Painter SL, Paintsil V, Paiva L, Papyan R, Parrozzani R, Parulekar M, Pawinska-Wasikowska K, Perić S, Philbert R, Pochop P, Polyakov VG, Pompe MT, Pons JJ, Raobela L, Renner LA, Reynders D, Ribadu D, Riheia MM, Ritter-Sovinz P, Saakyan S, Said AM, Román Pacheco SS, Scanlan TA, Schoeman J, Seregard S, Sherief ST, Cheikh SS, Silva S, Sorochynska T, Ssali G, Stathopoulos C, Kranjc BS, Stones DK, Svojgr K, Sylla F, Tamamyan G, Tandili A, Tateshi B, Theophile T, Traoré F, Tyau-Tyau H, Umar AB, Urbak SF, Ushakova TL, Valeina S, Hoefen Wijsard MV, Veleva-Krasteva NV, Viksnins M, Wackernagel W, Waddell K, Wade PD, Wali Nigeria AH, Wime AD, Dod CW, Yanga JM, Yarovaya VA, Yarovoy AA, Zein E, Sharabi S, Zhilyaeva K, Ziko OA, Bowman R.
PMID: 32933936
Br J Ophthalmol. 2021 Oct;105(10):1435-1443. doi: 10.1136/bjophthalmol-2020-316613. Epub 2020 Sep 15.

BACKGROUND: The travel distance from home to a treatment centre, which may impact the stage at diagnosis, has not been investigated for retinoblastoma, the most common childhood eye cancer. We aimed to investigate the travel burden and its impact...

Cite
Fabian ID, Stacey AW, Foster A, et al. Travel burden and clinical presentation of retinoblastoma: analysis of 1024 patients from 43 African countries and 518 patients from 40 European countries. Br J Ophthalmol. 2020;105(10):1435-1443doi: 10.1136/bjophthalmol-2020-316613.
Fabian, I. D., Stacey, A. W., Foster, A., Kivelä, T. T., Munier, F. L., Keren-Froim, N., Gomel, N., Cassoux, N., Sagoo, M. S., Reddy, M. A., Harby, L. A., Zondervan, M., Bascaran, C., Abdallah, E., Abdullahi, S. U., Boubacar, S. A., Ademola-Popoola, D. S., Adio, A., Aghaji, A. E., Portabella, S. A., Alfa Bio, A. I., Ali, A. M., Alia, D. B., All-Eriksson, C., Almeida, A. A., Alsawidi, K. M., Antonino, R., Astbury, N. J., Atsiaya, R., Balaguer, J., Balwierz, W., Barranco, H., Popovic, M. B., Benmiloud, S., Guebessi, N. B., Berete, R. C., Biddulph, S. J., Biewald, E. M., Blum, S., Bobrova, N., Boehme, M., Bornfeld, N., Bouda, G. C., Bouguila, H., Boumedane, A., Brichard, B. G., L, M. C., Castela, G., Català-Mora, J., Chantada, G. L., Chernodrinska, V. S., Chiwanga, F. S., Cieslik, K., Comsa, C., Correa Llano, M. G., Csóka, M., Da Gama, I. V., Davidson, A., Potter, P., Desjardins, L., Dragomir, M. D., Bruyn, M. D., Kettani, A. E., Elbahi, A. M., Elgalaly, D., Elhaddad, A. M., Ali Elhassan, M. M., Elzembely, M. M., Essuman, V. A., Evina, T. G. A., Fasina, O., Fernández-Teijeiro, A., Gandiwa, M., Aldana, D. G., Geel, J. A., Gizachew, Z., Gregersen, P. A., Guedenon, K. M., Hadjistilianou, T., Hassan, S., Hederova, S., Hessissen, L., Hordofa, D. F., Hummlen, M., Husakova, K., Ida, R., Ilic, V. R., Jenkinson, H., Amani Kabesha, T. B., Kabore, R. L., Kalinaki, A., Kapelushnik, N., Kardava, T., Kemilev, P. K., Kepak, T., Khotenashvili, Z., Klett, A., Kosh Komba Palet, J. E., Krivaitiene, D., Kruger, M., Kyara, A., Lachmann, E. S., Latinović, S., Lecuona, K., Lukamba, R. M., Lumbroso, L., Lysytsia, L., Maka, E., Makan, M., Manda, C., Begue, N. M., Matende, I. O., Matua, M., Mayet, I., Mbumba, F. B., Mengesha, A. A., Midena, E., Mndeme, F. G., Mohamedani, A. A., Moll, A. C., Moreira, C., Msina, M. S., Msukwa, G., Muma, K. I., Murgoi, G., Musa, K. O., Mustak, H., Muyen, O. M., Naidu, G., Naumenko, L., Ndoye Roth, P. A., Neroev, V., Nikitovic, M., Nkanga, E. D., Nkumbe, H., Nyaywa, M., Obono-Obiang, G., Oguego, N. C., Olechowski, A., Oscar, A. H., Osei-Bonsu, P., Painter, S. L., Paintsil, V., Paiva, L., Papyan, R., Parrozzani, R., Parulekar, M., Pawinska-Wasikowska, K., Perić, S., Philbert, R., Pochop, P., Polyakov, V. G., Pompe, M. T., Pons, J. J., Raobela, L., Renner, L. A., Reynders, D., Ribadu, D., Riheia, M. M., Ritter-Sovinz, P., Saakyan, S., Said, A. M., Román Pacheco, S. S., Scanlan, T. A., Schoeman, J., Seregard, S., Sherief, S. T., Cheikh, S. S., Silva, S., Sorochynska, T., Ssali, G., Stathopoulos, C., Kranjc, B. S., Stones, D. K., Svojgr, K., Sylla, F., Tamamyan, G., Tandili, A., Tateshi, B., Theophile, T., Traoré, F., Tyau-Tyau, H., Umar, A. B., Urbak, S. F., Ushakova, T. L., Valeina, S., Hoefen Wijsard, M. V., Veleva-Krasteva, N. V., Viksnins, M., Wackernagel, W., Waddell, K., Wade, P. D., Wali Nigeria, A. H., Wime, A. D., Dod, C. W., Yanga, J. M., Yarovaya, V. A., Yarovoy, A. A., Zein, E., Sharabi, S., Zhilyaeva, K., Ziko, O. A., & Bowman, R. (2021). Travel burden and clinical presentation of retinoblastoma: analysis of 1024 patients from 43 African countries and 518 patients from 40 European countries. The British journal of ophthalmology, 105(10), 1435-1443. https://doi.org/10.1136/bjophthalmol-2020-316613
Fabian, Ido Didi, et al. "Travel burden and clinical presentation of retinoblastoma: analysis of 1024 patients from 43 African countries and 518 patients from 40 European countries." The British journal of ophthalmology vol. 105,10 (2021): 1435-1443. doi: https://doi.org/10.1136/bjophthalmol-2020-316613
Fabian ID, Stacey AW, Foster A, Kivelä TT, Munier FL, Keren-Froim N, Gomel N, Cassoux N, Sagoo MS, Reddy MA, Harby LA, Zondervan M, Bascaran C, Abdallah E, Abdullahi SU, Boubacar SA, Ademola-Popoola DS, Adio A, Aghaji AE, Portabella SA, Alfa Bio AI, Ali AM, Alia DB, All-Eriksson C, Almeida AA, Alsawidi KM, Antonino R, Astbury NJ, Atsiaya R, Balaguer J, Balwierz W, Barranco H, Popovic MB, Benmiloud S, Guebessi NB, Berete RC, Biddulph SJ, Biewald EM, Blum S, Bobrova N, Boehme M, Bornfeld N, Bouda GC, Bouguila H, Boumedane A, Brichard BG, L MC, Castela G, Català-Mora J, Chantada GL, Chernodrinska VS, Chiwanga FS, Cieslik K, Comsa C, Correa Llano MG, Csóka M, Da Gama IV, Davidson A, Potter P, Desjardins L, Dragomir MD, Bruyn MD, Kettani AE, Elbahi AM, Elgalaly D, Elhaddad AM, Ali Elhassan MM, Elzembely MM, Essuman VA, Evina TGA, Fasina O, Fernández-Teijeiro A, Gandiwa M, Aldana DG, Geel JA, Gizachew Z, Gregersen PA, Guedenon KM, Hadjistilianou T, Hassan S, Hederova S, Hessissen L, Hordofa DF, Hummlen M, Husakova K, Ida R, Ilic VR, Jenkinson H, Amani Kabesha TB, Kabore RL, Kalinaki A, Kapelushnik N, Kardava T, Kemilev PK, Kepak T, Khotenashvili Z, Klett A, Kosh Komba Palet JE, Krivaitiene D, Kruger M, Kyara A, Lachmann ES, Latinović S, Lecuona K, Lukamba RM, Lumbroso L, Lysytsia L, Maka E, Makan M, Manda C, Begue NM, Matende IO, Matua M, Mayet I, Mbumba FB, Mengesha AA, Midena E, Mndeme FG, Mohamedani AA, Moll AC, Moreira C, Msina MS, Msukwa G, Muma KI, Murgoi G, Musa KO, Mustak H, Muyen OM, Naidu G, Naumenko L, Ndoye Roth PA, Neroev V, Nikitovic M, Nkanga ED, Nkumbe H, Nyaywa M, Obono-Obiang G, Oguego NC, Olechowski A, Oscar AH, Osei-Bonsu P, Painter SL, Paintsil V, Paiva L, Papyan R, Parrozzani R, Parulekar M, Pawinska-Wasikowska K, Perić S, Philbert R, Pochop P, Polyakov VG, Pompe MT, Pons JJ, Raobela L, Renner LA, Reynders D, Ribadu D, Riheia MM, Ritter-Sovinz P, Saakyan S, Said AM, Román Pacheco SS, Scanlan TA, Schoeman J, Seregard S, Sherief ST, Cheikh SS, Silva S, Sorochynska T, Ssali G, Stathopoulos C, Kranjc BS, Stones DK, Svojgr K, Sylla F, Tamamyan G, Tandili A, Tateshi B, Theophile T, Traoré F, Tyau-Tyau H, Umar AB, Urbak SF, Ushakova TL, Valeina S, Hoefen Wijsard MV, Veleva-Krasteva NV, Viksnins M, Wackernagel W, Waddell K, Wade PD, Wali Nigeria AH, Wime AD, Dod CW, Yanga JM, Yarovaya VA, Yarovoy AA, Zein E, Sharabi S, Zhilyaeva K, Ziko OA, Bowman R. Travel burden and clinical presentation of retinoblastoma: analysis of 1024 patients from 43 African countries and 518 patients from 40 European countries. Br J Ophthalmol. 2021 Oct;105(10):1435-1443. doi: 10.1136/bjophthalmol-2020-316613. Epub 2020 Sep 15. PMID: 32933936.
Copy Download .nbib Format: NLM
A2E-induced inflammation and angiogenesis in RPE cells .

Aging

Fontaine V, Fournié M, Monteiro E, Boumedine T, Balducci C, Guibout L, Latil M, Sahel JA, Veillet S, Dilda PJ, Lafont R, Camelo S.
PMID: 34544906
Aging (Albany NY). 2021 Sep 20;13(18):22040-22058. doi: 10.18632/aging.203558. Epub 2021 Sep 20.

No abstract available.

Cite
Fontaine V, Fournié M, Monteiro E, et al. A2E-induced inflammation and angiogenesis in RPE cells . Aging (Albany NY). 2021;13(18):22040-22058doi: 10.18632/aging.203558.
Fontaine, V., Fournié, M., Monteiro, E., Boumedine, T., Balducci, C., Guibout, L., Latil, M., Sahel, J. A., Veillet, S., Dilda, P. J., Lafont, R., & Camelo, S. (2021). A2E-induced inflammation and angiogenesis in RPE cells . Aging, 13(18), 22040-22058. https://doi.org/10.18632/aging.203558
Fontaine, Valérie, et al. "A2E-induced inflammation and angiogenesis in RPE cells ." Aging vol. 13,18 (2021): 22040-22058. doi: https://doi.org/10.18632/aging.203558
Fontaine V, Fournié M, Monteiro E, Boumedine T, Balducci C, Guibout L, Latil M, Sahel JA, Veillet S, Dilda PJ, Lafont R, Camelo S. A2E-induced inflammation and angiogenesis in RPE cells . Aging (Albany NY). 2021 Sep 20;13(18):22040-22058. doi: 10.18632/aging.203558. Epub 2021 Sep 20. PMID: 34544906; PMCID: PMC8507260.
Copy Download .nbib Format: NLM
Effects of temperature and relative humidity on the COVID-19 pandemic in different climates: a study across some regions in Algeria (North Africa).

Environmental science and pollution research international

Boufekane A, Busico G, Maizi D.
PMID: 34677775
Environ Sci Pollut Res Int. 2021 Oct 22; doi: 10.1007/s11356-021-16903-x. Epub 2021 Oct 22.

After more than a year from the first confirmed cases of coronavirus (COVID-19) disease, the role of meteorological factors in the transmission of the virus still needs to be correctly determined. In this scenario of deep uncertainty, the present...

Cite
Boufekane A, Busico G, Maizi D. Effects of temperature and relative humidity on the COVID-19 pandemic in different climates: a study across some regions in Algeria (North Africa). Environ Sci Pollut Res Int. 2021;doi: 10.1007/s11356-021-16903-x.
Boufekane, A., Busico, G., & Maizi, D. (2021). Effects of temperature and relative humidity on the COVID-19 pandemic in different climates: a study across some regions in Algeria (North Africa). Environmental science and pollution research international, . https://doi.org/10.1007/s11356-021-16903-x
Boufekane, Abdelmadjid, et al. "Effects of temperature and relative humidity on the COVID-19 pandemic in different climates: a study across some regions in Algeria (North Africa)." Environmental science and pollution research international vol. (2021). doi: https://doi.org/10.1007/s11356-021-16903-x
Boufekane A, Busico G, Maizi D. Effects of temperature and relative humidity on the COVID-19 pandemic in different climates: a study across some regions in Algeria (North Africa). Environ Sci Pollut Res Int. 2021 Oct 22; doi: 10.1007/s11356-021-16903-x. Epub 2021 Oct 22. PMID: 34677775; PMCID: PMC8532094.
Copy Download .nbib Format: NLM
Automatic Detection and Classification of Audio Events for Road Surveillance Applications.

Sensors (Basel, Switzerland)

Almaadeed N, Asim M, Al-Maadeed S, Bouridane A, Beghdadi A.
PMID: 29882825
Sensors (Basel). 2018 Jun 06;18(6). doi: 10.3390/s18061858.

This work investigates the problem of detecting hazardous events on roads by designing an audio surveillance system that automatically detects perilous situations such as car crashes and tire skidding. In recent years, research has shown several visual surveillance systems...

Cite
Almaadeed N, Asim M, Al-Maadeed S, et al. Automatic Detection and Classification of Audio Events for Road Surveillance Applications. Sensors (Basel). 2018;18(6)doi: 10.3390/s18061858.
Almaadeed, N., Asim, M., Al-Maadeed, S., Bouridane, A., & Beghdadi, A. (2018). Automatic Detection and Classification of Audio Events for Road Surveillance Applications. Sensors (Basel, Switzerland), 18(6), . https://doi.org/10.3390/s18061858
Almaadeed, Noor, et al. "Automatic Detection and Classification of Audio Events for Road Surveillance Applications." Sensors (Basel, Switzerland) vol. 18,6 (2018). doi: https://doi.org/10.3390/s18061858
Almaadeed N, Asim M, Al-Maadeed S, Bouridane A, Beghdadi A. Automatic Detection and Classification of Audio Events for Road Surveillance Applications. Sensors (Basel). 2018 Jun 06;18(6). doi: 10.3390/s18061858. PMID: 29882825; PMCID: PMC6022152.
Copy Download .nbib Format: NLM
Role for 2D image generated 3D face models in the rehabilitation of facial palsy.

Healthcare technology letters

Storey G, Jiang R, Bouridane A.
PMID: 28868153
Healthc Technol Lett. 2017 Aug 10;4(4):145-148. doi: 10.1049/htl.2017.0023. eCollection 2017 Aug.

The outcome for patients diagnosed with facial palsy has been shown to be linked to rehabilitation. Dense 3D morphable models have been shown within the computer vision to create accurate representations of human faces even from single 2D images....

Cite
Storey G, Jiang R, Bouridane A. Role for 2D image generated 3D face models in the rehabilitation of facial palsy. Healthc Technol Lett. 2017;4(4):145-148doi: 10.1049/htl.2017.0023.
Storey, G., Jiang, R., & Bouridane, A. (2017). Role for 2D image generated 3D face models in the rehabilitation of facial palsy. Healthcare technology letters, 4(4), 145-148. https://doi.org/10.1049/htl.2017.0023
Storey, Gary, et al. "Role for 2D image generated 3D face models in the rehabilitation of facial palsy." Healthcare technology letters vol. 4,4 (2017): 145-148. doi: https://doi.org/10.1049/htl.2017.0023
Storey G, Jiang R, Bouridane A. Role for 2D image generated 3D face models in the rehabilitation of facial palsy. Healthc Technol Lett. 2017 Aug 10;4(4):145-148. doi: 10.1049/htl.2017.0023. eCollection 2017 Aug. PMID: 28868153; PMCID: PMC5569939.
Copy Download .nbib Format: NLM
Showing 1 to 8 of 8 entries