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Showing 1 to 12 of 97 entries
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Spectrum-sine interpolation framework for DTI processing.

Medical & biological engineering & computing

Wang Y, Jiang F, Liu Y.
PMID: 34845595
Med Biol Eng Comput. 2022 Jan;60(1):279-295. doi: 10.1007/s11517-021-02471-2. Epub 2021 Nov 29.

Diffusion tensor imaging (DTI) data interpolation is important for DTI processing, which could affect the precision and computational complexity in the process of denoising, filtering, regularization, and DTI registration and fiber tracking. In this paper, we propose a novel...

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Wang Y, Jiang F, Liu Y. Spectrum-sine interpolation framework for DTI processing. Med Biol Eng Comput. 2021;60(1):279-295doi: 10.1007/s11517-021-02471-2.
Wang, Y., Jiang, F., & Liu, Y. (2022). Spectrum-sine interpolation framework for DTI processing. Medical & biological engineering & computing, 60(1), 279-295. https://doi.org/10.1007/s11517-021-02471-2
Wang, Yuanjun, et al. "Spectrum-sine interpolation framework for DTI processing." Medical & biological engineering & computing vol. 60,1 (2022): 279-295. doi: https://doi.org/10.1007/s11517-021-02471-2
Wang Y, Jiang F, Liu Y. Spectrum-sine interpolation framework for DTI processing. Med Biol Eng Comput. 2022 Jan;60(1):279-295. doi: 10.1007/s11517-021-02471-2. Epub 2021 Nov 29. PMID: 34845595.
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Handling of derived imbalanced dataset using XGBoost for identification of pulmonary embolism-a non-cardiac cause of cardiac arrest.

Medical & biological engineering & computing

Firdous N, Bhardwaj S.
PMID: 35023074
Med Biol Eng Comput. 2022 Jan 13; doi: 10.1007/s11517-021-02455-2. Epub 2022 Jan 13.

Relationship between pulmonary embolism and heart failure is presented in this paper. The proposed research is divided into two phases. The first phase includes the establishment of a novel database with the help of a Cleveland's database for cardiology...

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Firdous N, Bhardwaj S. Handling of derived imbalanced dataset using XGBoost for identification of pulmonary embolism-a non-cardiac cause of cardiac arrest. Med Biol Eng Comput. 2022;doi: 10.1007/s11517-021-02455-2.
Firdous, N., & Bhardwaj, S. (2022). Handling of derived imbalanced dataset using XGBoost for identification of pulmonary embolism-a non-cardiac cause of cardiac arrest. Medical & biological engineering & computing, . https://doi.org/10.1007/s11517-021-02455-2
Firdous, Naira, and Bhardwaj, Sushil. "Handling of derived imbalanced dataset using XGBoost for identification of pulmonary embolism-a non-cardiac cause of cardiac arrest." Medical & biological engineering & computing vol. (2022). doi: https://doi.org/10.1007/s11517-021-02455-2
Firdous N, Bhardwaj S. Handling of derived imbalanced dataset using XGBoost for identification of pulmonary embolism-a non-cardiac cause of cardiac arrest. Med Biol Eng Comput. 2022 Jan 13; doi: 10.1007/s11517-021-02455-2. Epub 2022 Jan 13. PMID: 35023074.
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Enhanced head-skull shape learning using statistical modeling and topological features.

Medical & biological engineering & computing

Nguyen TN, Tran VD, Nguyen HQ, Nguyen DP, Dao TT.
PMID: 35023072
Med Biol Eng Comput. 2022 Jan 13; doi: 10.1007/s11517-021-02483-y. Epub 2022 Jan 13.

Skull prediction from the head is a challenging issue toward a cost-effective therapeutic solution for facial disorders. This issue was initially studied in our previous work using full head-to-skull relationship learning. However, the head-skull thickness topology is locally shaped,...

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Nguyen TN, Tran VD, Nguyen HQ, et al. Enhanced head-skull shape learning using statistical modeling and topological features. Med Biol Eng Comput. 2022;doi: 10.1007/s11517-021-02483-y.
Nguyen, T. N., Tran, V. D., Nguyen, H. Q., Nguyen, D. P., & Dao, T. T. (2022). Enhanced head-skull shape learning using statistical modeling and topological features. Medical & biological engineering & computing, . https://doi.org/10.1007/s11517-021-02483-y
Nguyen, Tan-Nhu, et al. "Enhanced head-skull shape learning using statistical modeling and topological features." Medical & biological engineering & computing vol. (2022). doi: https://doi.org/10.1007/s11517-021-02483-y
Nguyen TN, Tran VD, Nguyen HQ, Nguyen DP, Dao TT. Enhanced head-skull shape learning using statistical modeling and topological features. Med Biol Eng Comput. 2022 Jan 13; doi: 10.1007/s11517-021-02483-y. Epub 2022 Jan 13. PMID: 35023072.
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Egocentric spatial orientation differences between Alzheimer's disease at early stages and mild cognitive impairment: a diagnostic aid.

Medical & biological engineering & computing

Moussavi Z, Kimura K, Lithgow B.
PMID: 35013869
Med Biol Eng Comput. 2022 Jan 11; doi: 10.1007/s11517-021-02478-9. Epub 2022 Jan 11.

Alzheimer's disease (AD) is a growing global crisis. Egocentric spatial orientation deteriorates with age and more significantly with AD. A simple and quick virtual reality (VR) localization and target finding technique is presented as a diagnostic aid to screen...

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Moussavi Z, Kimura K, Lithgow B. Egocentric spatial orientation differences between Alzheimer's disease at early stages and mild cognitive impairment: a diagnostic aid. Med Biol Eng Comput. 2022;doi: 10.1007/s11517-021-02478-9.
Moussavi, Z., Kimura, K., & Lithgow, B. (2022). Egocentric spatial orientation differences between Alzheimer's disease at early stages and mild cognitive impairment: a diagnostic aid. Medical & biological engineering & computing, . https://doi.org/10.1007/s11517-021-02478-9
Moussavi, Zahra, et al. "Egocentric spatial orientation differences between Alzheimer's disease at early stages and mild cognitive impairment: a diagnostic aid." Medical & biological engineering & computing vol. (2022). doi: https://doi.org/10.1007/s11517-021-02478-9
Moussavi Z, Kimura K, Lithgow B. Egocentric spatial orientation differences between Alzheimer's disease at early stages and mild cognitive impairment: a diagnostic aid. Med Biol Eng Comput. 2022 Jan 11; doi: 10.1007/s11517-021-02478-9. Epub 2022 Jan 11. PMID: 35013869.
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Correction to: Occupational exposure to electromagnetic fields in magnetic resonance environment: an update on regulation, exposure assessment techniques, health risk evaluation, and surveillance.

Medical & biological engineering & computing

Hartwig V, Virgili G, Mattei F, Biagini C, Romeo S, Zeni O, Scarfì MR, Massa R, Campanella F, Landini L, Gobba F, Modenese A, Giovannetti G.
PMID: 35028865
Med Biol Eng Comput. 2022 Jan 13; doi: 10.1007/s11517-021-02457-0. Epub 2022 Jan 13.

No abstract available.

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Hartwig V, Virgili G, Mattei F, et al. Correction to: Occupational exposure to electromagnetic fields in magnetic resonance environment: an update on regulation, exposure assessment techniques, health risk evaluation, and surveillance. Med Biol Eng Comput. 2022;doi: 10.1007/s11517-021-02457-0.
Hartwig, V., Virgili, G., Mattei, F., Biagini, C., Romeo, S., Zeni, O., Scarfì, M. R., Massa, R., Campanella, F., Landini, L., Gobba, F., Modenese, A., & Giovannetti, G. (2022). Correction to: Occupational exposure to electromagnetic fields in magnetic resonance environment: an update on regulation, exposure assessment techniques, health risk evaluation, and surveillance. Medical & biological engineering & computing, . https://doi.org/10.1007/s11517-021-02457-0
Hartwig, Valentina, et al. "Correction to: Occupational exposure to electromagnetic fields in magnetic resonance environment: an update on regulation, exposure assessment techniques, health risk evaluation, and surveillance." Medical & biological engineering & computing vol. (2022). doi: https://doi.org/10.1007/s11517-021-02457-0
Hartwig V, Virgili G, Mattei F, Biagini C, Romeo S, Zeni O, Scarfì MR, Massa R, Campanella F, Landini L, Gobba F, Modenese A, Giovannetti G. Correction to: Occupational exposure to electromagnetic fields in magnetic resonance environment: an update on regulation, exposure assessment techniques, health risk evaluation, and surveillance. Med Biol Eng Comput. 2022 Jan 13; doi: 10.1007/s11517-021-02457-0. Epub 2022 Jan 13. PMID: 35028865.
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Associating brain imaging phenotypes and genetic in Alzheimer's disease via JSCCA approach with autocorrelation constraints.

Medical & biological engineering & computing

Wei K, Kong W, Wang S.
PMID: 34714488
Med Biol Eng Comput. 2022 Jan;60(1):95-108. doi: 10.1007/s11517-021-02439-2. Epub 2021 Oct 29.

Imaging genetics research can explore the potential correlation between imaging and genomics. Most association analysis methods cannot effectively use the prior knowledge of the original data. In this respect, we add the prior knowledge of each original data to...

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Wei K, Kong W, Wang S. Associating brain imaging phenotypes and genetic in Alzheimer's disease via JSCCA approach with autocorrelation constraints. Med Biol Eng Comput. 2021;60(1):95-108doi: 10.1007/s11517-021-02439-2.
Wei, K., Kong, W., & Wang, S. (2022). Associating brain imaging phenotypes and genetic in Alzheimer's disease via JSCCA approach with autocorrelation constraints. Medical & biological engineering & computing, 60(1), 95-108. https://doi.org/10.1007/s11517-021-02439-2
Wei, Kai, et al. "Associating brain imaging phenotypes and genetic in Alzheimer's disease via JSCCA approach with autocorrelation constraints." Medical & biological engineering & computing vol. 60,1 (2022): 95-108. doi: https://doi.org/10.1007/s11517-021-02439-2
Wei K, Kong W, Wang S. Associating brain imaging phenotypes and genetic in Alzheimer's disease via JSCCA approach with autocorrelation constraints. Med Biol Eng Comput. 2022 Jan;60(1):95-108. doi: 10.1007/s11517-021-02439-2. Epub 2021 Oct 29. PMID: 34714488.
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2D-GolgiTrack-a semi-automated tracking system to quantify morphological changes and dynamics of the Golgi apparatus and Golgi-derived membrane tubules.

Medical & biological engineering & computing

Yaothak J, Simpson JC, Heffernan LF, Tsai YS, Lin CC.
PMID: 34783979
Med Biol Eng Comput. 2021 Nov 16; doi: 10.1007/s11517-021-02460-5. Epub 2021 Nov 16.

The Golgi apparatus and membrane tubules derived from this organelle play essential roles in membrane trafficking in eukaryotic cells. High-resolution live cell imaging is one highly suitable method for studying the molecular mechanisms of dynamics of organelles during membrane...

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Yaothak J, Simpson JC, Heffernan LF, et al. 2D-GolgiTrack-a semi-automated tracking system to quantify morphological changes and dynamics of the Golgi apparatus and Golgi-derived membrane tubules. Med Biol Eng Comput. 2021;doi: 10.1007/s11517-021-02460-5.
Yaothak, J., Simpson, J. C., Heffernan, L. F., Tsai, Y. S., & Lin, C. C. (2021). 2D-GolgiTrack-a semi-automated tracking system to quantify morphological changes and dynamics of the Golgi apparatus and Golgi-derived membrane tubules. Medical & biological engineering & computing, . https://doi.org/10.1007/s11517-021-02460-5
Yaothak, Jindaporn, et al. "2D-GolgiTrack-a semi-automated tracking system to quantify morphological changes and dynamics of the Golgi apparatus and Golgi-derived membrane tubules." Medical & biological engineering & computing vol. (2021). doi: https://doi.org/10.1007/s11517-021-02460-5
Yaothak J, Simpson JC, Heffernan LF, Tsai YS, Lin CC. 2D-GolgiTrack-a semi-automated tracking system to quantify morphological changes and dynamics of the Golgi apparatus and Golgi-derived membrane tubules. Med Biol Eng Comput. 2021 Nov 16; doi: 10.1007/s11517-021-02460-5. Epub 2021 Nov 16. PMID: 34783979.
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Pandemic tele-smart: a contactless tele-health system for efficient monitoring of remotely located COVID-19 quarantine wards in India using near-field communication and natural language processing system.

Medical & biological engineering & computing

Balasubramanian V, Vivekanandhan S, Mahadevan V.
PMID: 34705163
Med Biol Eng Comput. 2021 Oct 27; doi: 10.1007/s11517-021-02456-1. Epub 2021 Oct 27.

Efficient remote monitoring of the patient infected with coronavirus without spread to healthcare workers is the need of the hour. An effectual and faster communication system must be established wherein the healthcare workers at the remote quarantine ward can...

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Balasubramanian V, Vivekanandhan S, Mahadevan V. Pandemic tele-smart: a contactless tele-health system for efficient monitoring of remotely located COVID-19 quarantine wards in India using near-field communication and natural language processing system. Med Biol Eng Comput. 2021;doi: 10.1007/s11517-021-02456-1.
Balasubramanian, V., Vivekanandhan, S., & Mahadevan, V. (2021). Pandemic tele-smart: a contactless tele-health system for efficient monitoring of remotely located COVID-19 quarantine wards in India using near-field communication and natural language processing system. Medical & biological engineering & computing, . https://doi.org/10.1007/s11517-021-02456-1
Balasubramanian, Vishal, et al. "Pandemic tele-smart: a contactless tele-health system for efficient monitoring of remotely located COVID-19 quarantine wards in India using near-field communication and natural language processing system." Medical & biological engineering & computing vol. (2021). doi: https://doi.org/10.1007/s11517-021-02456-1
Balasubramanian V, Vivekanandhan S, Mahadevan V. Pandemic tele-smart: a contactless tele-health system for efficient monitoring of remotely located COVID-19 quarantine wards in India using near-field communication and natural language processing system. Med Biol Eng Comput. 2021 Oct 27; doi: 10.1007/s11517-021-02456-1. Epub 2021 Oct 27. PMID: 34705163; PMCID: PMC8548353.
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Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI.

Medical & biological engineering & computing

Russo C, Liu S, Di Ieva A.
PMID: 34729681
Med Biol Eng Comput. 2021 Nov 02; doi: 10.1007/s11517-021-02464-1. Epub 2021 Nov 02.

Magnetic Resonance Imaging (MRI) is used in everyday clinical practice to assess brain tumors. Deep Convolutional Neural Networks (DCNN) have recently shown very promising results in brain tumor segmentation tasks; however, DCNN models fail the task when applied to...

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Russo C, Liu S, Di Ieva A. Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI. Med Biol Eng Comput. 2021;doi: 10.1007/s11517-021-02464-1.
Russo, C., Liu, S., & Di Ieva, A. (2021). Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI. Medical & biological engineering & computing, . https://doi.org/10.1007/s11517-021-02464-1
Russo, Carlo, et al. "Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI." Medical & biological engineering & computing vol. (2021). doi: https://doi.org/10.1007/s11517-021-02464-1
Russo C, Liu S, Di Ieva A. Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI. Med Biol Eng Comput. 2021 Nov 02; doi: 10.1007/s11517-021-02464-1. Epub 2021 Nov 02. PMID: 34729681.
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Correction to: Iterative principal component analysis method for improvised classification of breast cancer disease using blood sample analysis.

Medical & biological engineering & computing

R G, G S.
PMID: 34423385
Med Biol Eng Comput. 2021 Oct;59(10):1991. doi: 10.1007/s11517-021-02426-7.

No abstract available.

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R G, G S. Correction to: Iterative principal component analysis method for improvised classification of breast cancer disease using blood sample analysis. Med Biol Eng Comput. 2021;59(10):1991doi: 10.1007/s11517-021-02426-7.
R, G., & G, S. (2021). Correction to: Iterative principal component analysis method for improvised classification of breast cancer disease using blood sample analysis. Medical & biological engineering & computing, 59(10), 1991. https://doi.org/10.1007/s11517-021-02426-7
R, Geetharamani, and G, Sivagami. "Correction to: Iterative principal component analysis method for improvised classification of breast cancer disease using blood sample analysis." Medical & biological engineering & computing vol. 59,10 (2021): 1991. doi: https://doi.org/10.1007/s11517-021-02426-7
R G, G S. Correction to: Iterative principal component analysis method for improvised classification of breast cancer disease using blood sample analysis. Med Biol Eng Comput. 2021 Oct;59(10):1991. doi: 10.1007/s11517-021-02426-7. PMID: 34423385.
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Efficacy of the FDA nozzle benchmark and the lattice Boltzmann method for the analysis of biomedical flows in transitional regime.

Medical & biological engineering & computing

Jain K.
PMID: 32507933
Med Biol Eng Comput. 2020 Aug;58(8):1817-1830. doi: 10.1007/s11517-020-02188-8. Epub 2020 Jun 07.

Flows through medical devices as well as in anatomical vessels despite being at moderate Reynolds number may exhibit transitional or even turbulent character. In order to validate numerical methods and codes used for biomedical flow computations, the US Food...

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Jain K. Efficacy of the FDA nozzle benchmark and the lattice Boltzmann method for the analysis of biomedical flows in transitional regime. Med Biol Eng Comput. 2020;58(8):1817-1830doi: 10.1007/s11517-020-02188-8.
Jain, K. (2020). Efficacy of the FDA nozzle benchmark and the lattice Boltzmann method for the analysis of biomedical flows in transitional regime. Medical & biological engineering & computing, 58(8), 1817-1830. https://doi.org/10.1007/s11517-020-02188-8
Jain, Kartik. "Efficacy of the FDA nozzle benchmark and the lattice Boltzmann method for the analysis of biomedical flows in transitional regime." Medical & biological engineering & computing vol. 58,8 (2020): 1817-1830. doi: https://doi.org/10.1007/s11517-020-02188-8
Jain K. Efficacy of the FDA nozzle benchmark and the lattice Boltzmann method for the analysis of biomedical flows in transitional regime. Med Biol Eng Comput. 2020 Aug;58(8):1817-1830. doi: 10.1007/s11517-020-02188-8. Epub 2020 Jun 07. PMID: 32507933; PMCID: PMC7340647.
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A simple embed over encryption scheme for DICOM images using Bülban Map.

Medical & biological engineering & computing

Manikandan V, Amirtharajan R.
PMID: 35040082
Med Biol Eng Comput. 2022 Jan 17; doi: 10.1007/s11517-021-02499-4. Epub 2022 Jan 17.

With the onset of any pandemic, the medical image database is bound to increase. These medical images are prone to attack by hackers for their medical data and patient health information. To safeguard these medical images, a new algorithm...

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Manikandan V, Amirtharajan R. A simple embed over encryption scheme for DICOM images using Bülban Map. Med Biol Eng Comput. 2022;doi: 10.1007/s11517-021-02499-4.
Manikandan, V., & Amirtharajan, R. (2022). A simple embed over encryption scheme for DICOM images using Bülban Map. Medical & biological engineering & computing, . https://doi.org/10.1007/s11517-021-02499-4
Manikandan, Veerappan, and Amirtharajan, Rengarajan. "A simple embed over encryption scheme for DICOM images using Bülban Map." Medical & biological engineering & computing vol. (2022). doi: https://doi.org/10.1007/s11517-021-02499-4
Manikandan V, Amirtharajan R. A simple embed over encryption scheme for DICOM images using Bülban Map. Med Biol Eng Comput. 2022 Jan 17; doi: 10.1007/s11517-021-02499-4. Epub 2022 Jan 17. PMID: 35040082.
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Showing 1 to 12 of 97 entries