Cortical Bone Thickness Assessment from Multi-frequency Ultrasound RF Data using a Convolutional Architecture with Multi-head Attention
Conference paper
Sultan, H.H., Grisan, E., Dryburgh, P., Peralta, L. and Harput, S. (2023). Cortical Bone Thickness Assessment from Multi-frequency Ultrasound RF Data using a Convolutional Architecture with Multi-head Attention. 2023 IEEE International Ultrasonics Symposium (IUS). Montreal, QC, Canada 03 - 08 Sep 2023 IEEE. https://doi.org/10.1109/ius51837.2023.10307373
| Authors | Sultan, H.H., Grisan, E., Dryburgh, P., Peralta, L. and Harput, S. |
|---|---|
| Type | Conference paper |
| Abstract | Cortical bone thickness is an important predictor of bone strength and fracture risk, and accurate classification is crucial for the diagnosis and treatment of osteoporosis. The thinning of the cortical layer, indicative of compromised bone microarchitecture due to imbalanced formation and loss, underscores its significance. Nonetheless, quantifying bone thickness is challenging due to the diverse skeletal sites and subject variations in bone structure and properties.A potential solution lies in multi-frequency ultrasound assessment of cortical bone, enabling comprehensive property characterization across varying wavelengths and penetration depths. This research strives to establish a robust methodology for evaluating cortical bone thickness by leveraging a convolutional model with an attention mechanism to analyse multi-frequency ultrasound data. |
| Year | 2023 |
| Journal | IEEE International Ultrasonics Symposium, IUS |
| Publisher | IEEE |
| ISSN | 1948-5727 |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/ius51837.2023.10307373 |
| Web address (URL) | https://ieeexplore.ieee.org/xpl/conhome/10306337/proceeding |
| Accepted author manuscript | License File Access Level Open |
| Publication dates | |
| 03 Sep 2023 | |
| Publication process dates | |
| Accepted | 03 Aug 2023 |
| Deposited | 28 Nov 2023 |
| ISBN | 979-8-3503-4645-9 |
Permalink -
https://openresearch.lsbu.ac.uk/item/95q16
Download files
46
total views33
total downloads0
views this month0
downloads this month
Export as
Related outputs
Study Protocol: Evaluating artificial intelligence-driven stress echocardiography analysis system (EASE study): mixed method study.
Mahdavi, M., Thomas, N., Flood, C., Stewart-Lord, A., Baillie, L., Grisan, E., Callaghan, P., Panayotova, R, Hothi, S, Griffith, V., Jayadev, S. and Frings, D. Study Protocol: Evaluating artificial intelligence-driven stress echocardiography analysis system (EASE study): mixed method study. BMJ Open.A Consensus Mechanism to Improve Prediction of Cortical Bone Properties using Ultrafast Ultrasound Acquisition
Abdelreheem, H., Grisan, E., Dryburgh, P., Peralta, L. and Harput, S. (2024). A Consensus Mechanism to Improve Prediction of Cortical Bone Properties using Ultrafast Ultrasound Acquisition. IEEE Access. https://doi.org/10.1109/ACCESS.2024.3404644A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP3 REPORT
Thomas, N., Frings, D., Flood, C., Grisan, E., Wood, K., Daly, N. and Sharma, S. (2024). A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP3 REPORT. London South Bank University.Artificial Intelligence and Endo-Histo-OMICs: New Dimensions of Precision Endoscopy and Histology in Inflammatory Bowel Disease
Iacucci, M., Santacroce, G., Zanmarchi, I., Maeda, Y., del Amor, R., Meseguer, P., Kolawole, B., Chaudhari, U., Di Sabatino, A., Danese, S., Mori, Y., Grisan, E., Naranjo, V. and Ghosh, S. (2024). Artificial Intelligence and Endo-Histo-OMICs: New Dimensions of Precision Endoscopy and Histology in Inflammatory Bowel Disease. The Lancet Gastroenterology & Hepatology. 9 (8), pp. 758-772. https://doi.org/10.1016/S2468-1253(24)00053-0Deep learning analysis of plasma emissions: A potential system for monitoring methane and hydrogen in the pyrolysis processes
Salimian, A. and Grisan, E. (2024). Deep learning analysis of plasma emissions: A potential system for monitoring methane and hydrogen in the pyrolysis processes. International Journal of Hydrogen Energy. 58, pp. 1030-1043. https://doi.org/10.1016/j.ijhydene.2024.01.251A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP1 Accuracy - Phase 2b Evaluation Report
Thomas, N., Frings, D., Flood, C., Grisan, E., Wood, K., Daly, N. and Sharma, S. (2023). A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP1 Accuracy - Phase 2b Evaluation Report. London South Bank University.A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP1 Accuracy - Phase 2A Evaluation Report
Thomas, N., Frings, D., Flood, C., Grisan, E., Wood, K., Daly, N. and Sharma, S. (2023). A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP1 Accuracy - Phase 2A Evaluation Report. London South Bank University.Age-related changes in the primary auditory cortex of newborn, adults and aging bottlenose dolphins (Tursiops truncatus) are located in the upper cortical layers
Graïc, J., Corain, L, Finos, L., Vadori, V., Grisan, E., Gerussi, T., Orekhova, K., Centelleghe, C, Cozzi, B. and Peruffo, A. (2023). Age-related changes in the primary auditory cortex of newborn, adults and aging bottlenose dolphins (Tursiops truncatus) are located in the upper cortical layers. Frontiers in Neuroanatomy. 17. https://doi.org/10.3389/fnana.2023.1330384Determining the grain geometry from ultrasonic measurements of large-grained temperate ice cores
Graves, J., Lishman, B. and Harput, S. (2023). Determining the grain geometry from ultrasonic measurements of large-grained temperate ice cores. IEEE International Ultrasonics Symposium, IUS. https://doi.org/10.1109/ius51837.2023.10307539Investigation of Ultrasonically Levitated Droplets for Sonochemistry with High-Speed Camera Observations
Aldahi, M., Khaheshi Hasankiadeh, A., Saif, N.B., Vasconez, J.F.Pr., Rajabi, H. and Harput, S. (2023). Investigation of Ultrasonically Levitated Droplets for Sonochemistry with High-Speed Camera Observations. 2023 IEEE International Ultrasonics Symposium (IUS). Montreal, QC, Canada 03 - 08 Sep 2023 IEEE. https://doi.org/10.1109/ius51837.2023.10307095A novel DSP zebrafish model reveals training- and drug-induced modulation of arrhythmogenic cardiomyopathy phenotypes
Celeghin, R., Risato, G., Beffagna, G., Cason, M., Bueno Marinas, M., Della Barbera, M., Facchinello, N., Giuliodori, A., Brañas Casas, R., Caichiolo, M., Vettori, V., Grisan, E., Rizzo, S., Dalla Valle, L., Francesco Argenton, Thiene, G., Tiso, N., Pilichou, K. and Basso, N. (2023). A novel DSP zebrafish model reveals training- and drug-induced modulation of arrhythmogenic cardiomyopathy phenotypes. Cell Death Discovery . 9 (441). https://doi.org/10.1038/s41420-023-01741-2Mr-Nom: Multi-Scale Resolution of Neuronal Cells in Nissl-Stained Histological Slices Via Deliberate over-Segmentation and Merging
Vadori, V., Graïc, J-M., Finos, L., Corain, L., Peruffo, A. and Grisan, E. (2023). Mr-Nom: Multi-Scale Resolution of Neuronal Cells in Nissl-Stained Histological Slices Via Deliberate over-Segmentation and Merging. 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). Cartegena de Indias, Colombia 18 - 21 Apr 2023 IEEE. https://doi.org/10.1109/isbi53787.2023.10230352A human ear-inspired ultrasonic transducer (HEUT) for 3D localization of sub-wavelength scatterers
Nie, L., Toulemonde, M., Tang, M., Freear, S. and Harput, S. (2023). A human ear-inspired ultrasonic transducer (HEUT) for 3D localization of sub-wavelength scatterers. Applied Physics Letters. 123 (8). https://doi.org/10.1063/5.0152029Nanodroplet-Based Super-Resolution Ultrasound Localization Microscopy
Zhang, G., Liao, C., Hu, J., Hu, H., Lei, Y., Harput, S. and Ye, H. (2023). Nanodroplet-Based Super-Resolution Ultrasound Localization Microscopy. ACS Sensors. 8 (9), pp. 3294-3306. https://doi.org/10.1021/acssensors.3c00418A Human Ear-inspired Ultrasonic Transducer (HEUT) for 3-D Localization of Sub-wavelength Scatterers
Nie, L., Toulemonde, M., Tang, M-X., Freear, S. and Harput, S. (2023). A Human Ear-inspired Ultrasonic Transducer (HEUT) for 3-D Localization of Sub-wavelength Scatterers. Applied Physics Letters.Cytoarchitectureal changes in hippocampal subregions of the NZB/W F1 mouse model of lupus
Graïc, J-M., Finos, L., Cozzi, B., Luisetto, R., Gerussi, T, Doria, A., Vadori, V., Grisan, E., Corain, L. and Peruffo, A. (2023). Cytoarchitectureal changes in hippocampal subregions of the NZB/W F1 mouse model of lupus. Brain, Behavior and Immunity. 32 (October), p. 100662. https://doi.org/10.1016/j.bbih.2023.100662Artificial Intelligence enabled histological prediction of remission or activity and clinical outcomes in ulcerative colitis
Iacucci, M., Parigi, T.L., del Amor, R., Meseguer, P., Mandelli, G., Bozzola, A., Bazarova, A., Bhandari, P., Bisschops, R., Danese, S., De Hertogh, G., Ferraz, J.G., Goetz, M., Grisan, E., Gui, X., Hayee, B., Kiesslich, R., Lazarev, M., Panaccione, R., Parra-Blanco, A., Pastorelli, L., Rath, T., Royset, E.S., Tontini, G.E., Vath, M., Zardo, D., Ghosh, S., Naranjo, V. and Villanacci, V. (2023). Artificial Intelligence enabled histological prediction of remission or activity and clinical outcomes in ulcerative colitis. Gastroenterology. https://doi.org/10.1053/j.gastro.2023.02.031A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments
Thomas, N., Frings, D., Flood, C., Grisan, E., Wood, K., Daly, N. and Sharma, S. (2022). A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments. London South Bank University.A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP1 Accuracy - Phase 1 Evaluation Report
Thomas, N., Frings, D., Flood, C., Grisan, E., Wood, K., Daly, N. and Sharma, S. (2022). A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP1 Accuracy - Phase 1 Evaluation Report. London South Bank University.Estimation of Cortical Bone Strength Using CNN-based Regression Model
Sultan, Hossam H., Grisan, E., Peralta, L. and Harput, S. (2022). Estimation of Cortical Bone Strength Using CNN-based Regression Model. 2022 IEEE International Ultrasonics Symposium (IUS). Venice, Italy 10 - 13 Oct 2022 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ius54386.2022.9957568Classification of Cortical Bone Thicknesses Based on RF Signal Spectral Analysis
Sultan, H.H., Grisan, E., Peralta, L. and Harput, S. (2022). Classification of Cortical Bone Thicknesses Based on RF Signal Spectral Analysis. 2022 IEEE International Ultrasonics Symposium (IUS). Venice, Italy 10 - 13 Oct 2022 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ius54386.2022.99585733D Localization of Scatterers with a Spiral-Shaped Acoustic Lens
Nie, L., Toulemonde, M., Tang, M-X., Freear, S. and Harput, S. (2022). 3D Localization of Scatterers with a Spiral-Shaped Acoustic Lens. 2022 IEEE International Ultrasonics Symposium (IUS). Venice, Italy 10 - 13 Oct 2022 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ius54386.2022.9958492Ultrasound Super-Resolution Imaging for the Differentiation of Thyroid Nodules: A Feasibility Study
Zhang, G., Vu, J., Lei, Y-M., Hu, J-R., Hu, H-M., Harput, S., Guo, Z-Z., Cui, X-W. and Ye, H-R. (2022). Ultrasound Super-Resolution Imaging for the Differentiation of Thyroid Nodules: A Feasibility Study. 2022 IEEE International Ultrasonics Symposium (IUS). Venice, Italy 10 - 13 Oct 2022 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ius54386.2022.9958286Motion Correction Using Deep Learning Neural Networks - Effects of Data Representation
Zaydullin, R., Bharath, A.A., Grisan, E., Christensen-Jeffries, K., Bai, W. and Tang, M-X. (2022). Motion Correction Using Deep Learning Neural Networks - Effects of Data Representation. 2022 IEEE International Ultrasonics Symposium (IUS). Venice, Italy 10 - 13 Oct 2022 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ius54386.2022.9958903Computer-Aided Imaging Analysis of Probe-Based Confocal Laser Endomicroscopy With Molecular Labeling and Gene Expression Identifies Markers of Response to Biological Therapy in IBD Patients: The Endo-Omics Study
Iacucci, M., Jeffery, L., Acharjee, A., Grisan, E., Buda, A., Nardone, O.M., Smith, S.C.L., Labarile, N., Zardo, D., Ungar, B., Hunter, S., Mao, R., Cannatelli,R., Shivaji, U.N., Parigi, T.L., Reynolds, G.M., Gkoutos, G.V. and Ghosh, S. (2022). Computer-Aided Imaging Analysis of Probe-Based Confocal Laser Endomicroscopy With Molecular Labeling and Gene Expression Identifies Markers of Response to Biological Therapy in IBD Patients: The Endo-Omics Study. Inflammatory Bowel Diseases. 2022 (izac233), pp. 1-12. https://doi.org/0.1093/ibd/izac233Ultrasound Super-Resolution Imaging for the Differential Diagnosis of Thyroid Nodules: A Pilot Study
Zhang, G., Yu, J., Lei, Y-M., Hu, J-R., Hu, H-M., Harput, S., Guo, Z., Cui, X-W. and Ye, H.R. (2022). Ultrasound Super-Resolution Imaging for the Differential Diagnosis of Thyroid Nodules: A Pilot Study. Frontiers in Oncology. https://doi.org/10.3389/fonc.2022.978164Super-Resolution Ultrasound Localization Microscopy of Microvascular Structure and Flow for Distinguishing Metastatic Lymph Nodes – An Initial Human Study
Zhu, J., Zhang, C., Christensen-Jeffries, K., Zhang, G., Harput, S., Dunsby, C., Huang, P. and Tang, M. (2022). Super-Resolution Ultrasound Localization Microscopy of Microvascular Structure and Flow for Distinguishing Metastatic Lymph Nodes – An Initial Human Study. Ultraschall in der Medizin - European Journal of Ultrasound. https://doi.org/10.1055/a-1917-0016A Virtual Chromoendoscopy Artificial Intelligence system to detect endoscopic and histologic activity/remission and predict clinical outcomes in Ulcerative Colitis
Iacucci, M, Cannatelli, R, Parigi,T.L., Nardone, O.M., Tontini, G.E., Labarile, N, Buda, A., Rimondi, A., Bazarova, A., Bisschops, R., del Amor, R., Meseguer, P., Naranjo, V., PICaSSO Group, Ghosh, S. and Grisan, E. (2022). A Virtual Chromoendoscopy Artificial Intelligence system to detect endoscopic and histologic activity/remission and predict clinical outcomes in Ulcerative Colitis. Endoscopy. https://doi.org/10.1055/a-1960-3645Accelerating colloidal quantum dot innovation with algorithms and automation
Howes, P., Munyebvu, N., Lane, E. and Grisan, E. (2022). Accelerating colloidal quantum dot innovation with algorithms and automation. Materials Advances. https://doi.org/10.1039/d2ma00468bConstrained Multiple Instance Learning for Ulcerative Colitis prediction using Histological Images
del Amor, R., Meseguera, P., Parigi, T.L., Villanacci, V., Colomer, A., Launet, L., Bazarova, A., Tontini, G.E., Bisschops, R., de Hertogh, G., Ferraz, J.G., Götz, M., Gui, Xi., Hayeem, B., Lazarev, M., Panaccione, R., Parra-Blanco, A., Bhandari, P., Pastorelli, L., Rath, T., Synnøve Røyset, E., Vieth, M., Zardo, D., Grisan, E., Ghosh, S., Iacucci, M. and Naranjo, V. (2022). Constrained Multiple Instance Learning for Ulcerative Colitis prediction using Histological Images. Computer methods and programs in biomedicine. 224, p. 107012. https://doi.org/10.1016/j.cmpb.2022.107012A Virtual Chromoendoscopy Artificial Intelligence System To Detect Endoscopic And Histologic Remission In Ulcerative Colitis
Iacucci M., Cannatelli, R., Parigi, T.L., Buda, A., Labarile, N., Nardone, O. M., Tontini, G. E., Rimondi, A., Bazarova, A., Bhandari, P., Bisschops, R., De Hertogh, G., Del Amor, R., Ferraz, J. G., Goetz, M., Gui, S. X., Hayee, B., Kiesslich, R., Lazarev, M., Naranjo, V., Panaccione, R., Parra-Blanco, A., Pastorelli, L., Rath, T., Røyset, E. S., Vieth, M., Villanacci, V., Zardo, D., Ghosh, S. and Grisan, E. (2022). A Virtual Chromoendoscopy Artificial Intelligence System To Detect Endoscopic And Histologic Remission In Ulcerative Colitis. Digestive Disease Week - DDW 2022. San Diego (CA) 21 - 24 May 2022A Virtual Chromoendoscopy Artificial Intelligence System To Detect Endoscopic And Histologic Remission In Ulcerative Colitis
Iacucci, M., Cannatelli, R., Parigi, T.L., Buda, A., Labarile, N., Nardone, O.M., Tontini, G.E., Rimondi, A., Bazarova, A., Bhandari, P., Bisschops, R., De Hertogh, G., del Amor, R., Ferraz, J.G, Goetz, M., Gui, X., Hayee, B., Kiesslich, R., Lazarev, M., Naranjo, V., Panaccione, R., Parra-Blanco, A., Pastorelli, L., Rath, T., Røyset, E.S, Vieth, M., Villanacci, V., Zardo, D., Ghosh, S. and Grisan, E. (2022). A Virtual Chromoendoscopy Artificial Intelligence System To Detect Endoscopic And Histologic Remission In Ulcerative Colitis. ESGE Days 2022. 28 Apr 2022 Georg Thieme Verlag KG. https://doi.org/10.1055/s-0042-1744593A Deep Graph Cut Model for 3D Brain Tumor Segmentation
De, A., Tiwari, M., Grisan, E. and Chowdhury, A.S. (2022). A Deep Graph Cut Model for 3D Brain Tumor Segmentation. 44th International Engineering in Medicine and Biology Conference (EMBC 2022). Glasgow (UK) 11 - 15 Jul 2022 Institute of Electrical and Electronics Engineers (IEEE).OP16 The first virtual chromoendoscopy artificial intelligence system to detect endoscopic and histologic remission in Ulcerative Colitis
Iacucci, M, Cannatelli, R, Parigi, TL, Buda, A, Labarile, N, Nardone, OM, Tontini, GE, Rimondi, A, Bazarova, A, Bhandari, P, Bisschops, R, De Hertogh, G, Del Amor, R, Ferraz, JG, Goetz, M, Gui, X, Hayee, B, Kiesslich, R, Lazarev, M, Naranjo, V, Panaccione, R, Parra-Blanco, A, Pastorelli, L, Rath, T, Røyset, ES, Vieth, M, Villanacci, V, Zardo, D, Ghosh, S and Grisan, E. (2022). OP16 The first virtual chromoendoscopy artificial intelligence system to detect endoscopic and histologic remission in Ulcerative Colitis. 17th Congress of ECCO - European Crohn’s and Colitis Organisation. 16 - 19 Feb 2022 Oxford University Press (OUP). https://doi.org/10.1093/ecco-jcc/jjab232.015OP15 A new simplified histology artificial intelligence system for accurate assessment of remission in Ulcerative Colitis
Villanacci, V, Parigi, TL, Del Amor, R, Mesguer Esbrì, P, Gui, X, Bazarova, A, Bhandari, P, Bisschops, R, Danese, S, De Hertogh, G, G Ferraz, JG, Götz, M, Grisan, E., Hayee, B, Kiesslich, R, Lazarev, M, Mandelli, G, Monica, MAT, Panaccione, R, Parra-Blanco, A, Pastorelli, L, Rath, T, Røyset, ES, Shivaji, U, Tontini, GE, Vieth, M, Zardo, D, Ghosh, S, Naranjo, V and Iacucci, M (2022). OP15 A new simplified histology artificial intelligence system for accurate assessment of remission in Ulcerative Colitis. 17th Congress of ECCO - European Crohn’s and Colitis Organisation. 16 - 19 Feb 2022 Oxford University Press (OUP). https://doi.org/10.1093/ecco-jcc/jjab232.014Predicting functional impairment trajectories in amyotrophic lateral sclerosis: a probabilistic, multifactorial model of disease progression.
Tavazzi, E., Daberdaku, S., Zandonà, A., Vasta, R., Nefussy, B., Lunetta, C., Mora, G., Mandrioli, J., Grisan, E., Tarlarini, C., Calvo, A., Moglia, C., Drory, V., Gotkine, M., Chiò, A., Di Camillo, B. and Piemonte, Valle d’Aosta Register for ALS (PARALS), for the Emilia Romagna Registry for ALS (ERRALS) (2022). Predicting functional impairment trajectories in amyotrophic lateral sclerosis: a probabilistic, multifactorial model of disease progression. Journal of neurology. https://doi.org/10.1007/s00415-022-11022-0An Adaptive Registration Algorithm for Zebrafish Larval Brain Images
Deb, S, Tiso, N, Grisan, E. and Chowdhury, A.S. (2022). An Adaptive Registration Algorithm for Zebrafish Larval Brain Images. Computer methods and programs in biomedicine. 216, p. 106658. https://doi.org/10.1016/j.cmpb.2022.106658PICaSSO Histologic Remission Index (PHRI) in Ulcerative Colitis – Development of a Novel Simplified Histological Score for Monitoring Mucosal Healing and Predicting Clinical Outcomes and its Applicability in an Artificial Intelligence System
Gui, X., Bazarova, A., del Amor, R., Vieth, M., de Hertogh, G., Villanacci, V., Zardo, D., Parigi, T. L., Røyset, E., Shivaji, U., Monica, M. A.T., Mandelli, G., Bhandari, P., Danese, S., Ferraz, J., Hayee, B., Lazarev, M., Parra-Blanco, A., Pastorelli, L., Panaccione, R., Rath, T., Tontini, G.E., Ralf, H., Bisschops, R., Grisan, E., Naranjo, V., Ghosh, S. and Iacucci, M. (2022). PICaSSO Histologic Remission Index (PHRI) in Ulcerative Colitis – Development of a Novel Simplified Histological Score for Monitoring Mucosal Healing and Predicting Clinical Outcomes and its Applicability in an Artificial Intelligence System. Gut. https://doi.org/10.1136/gutjnl-2021-326376The primary visual cortex of Cetartiodactyls: organization, cytoarchitectonics and comparison with perissodactyls and primates.
Graïc, J., Peruffo, A., Corain, L., Finos, L., Grisan, E. and Cozzi, B. (2021). The primary visual cortex of Cetartiodactyls: organization, cytoarchitectonics and comparison with perissodactyls and primates. Brain structure & function. 227, p. 1195–1225. https://doi.org/10.1007/s00429-021-02392-8Deep learning for the prediction of treatment response in depression
Squarcina, L., Villa, F.M., Nobile, M., Grisan, E. and Brambilla, P. (2021). Deep learning for the prediction of treatment response in depression. Journal of Affective Disorders. 281, pp. 618-622. https://doi.org/10.1016/j.jad.2020.11.104Response to Biologics in Ibd Patients Assessed by Computerized Image Analysis of Probe Based Confocal Laser Endomicroscopy With Molecular Labeling
Iacucci, M, Grisan, E, Labarile, N, Nardone, OM, Smith, SCL, Jeffery, L, Cannatelli, R, Ghosh, S and Buda, A (2021). Response to Biologics in Ibd Patients Assessed by Computerized Image Analysis of Probe Based Confocal Laser Endomicroscopy With Molecular Labeling. ESGE Days 2021. Virtual 25 - 27 Mar 2021 Georg Thieme Verlag KG. https://doi.org/10.1055/s-0041-1724759Deep-Learning Estimation of Perfusion Kinetic Parameters in Contrast-Enhanced Ultrasound Imaging
Grisan, E., Harput, S., Raffeiner, B., Fiocco, U. and Stramare, R. (2021). Deep-Learning Estimation of Perfusion Kinetic Parameters in Contrast-Enhanced Ultrasound Imaging. IEEE International Symposium on Biomedical Imaging - IEEE ISBI. Nice 13 - 16 Apr 2021 Institute of Electrical and Electronics Engineers (IEEE).The claustrum of the sheep and its connections to the visual cortex
Pirone, A., Graïc, J., Grisan, E. and Cozzi, B. (2020). The claustrum of the sheep and its connections to the visual cortex. Journal of Anatomy. 238 (1), pp. 1-12. https://doi.org/10.1111/joa.13302Is machine learning prediction of Aβ positivity consistent? An assessment of multiple datasets
Grecchi, E., Grisan, E., Buckley, C. and Wolber, J. (2020). Is machine learning prediction of Aβ positivity consistent? An assessment of multiple datasets. Wiley. https://doi.org/10.1002/alz.040990Single- and Multi-Distribution Dimensionality Reduction Approaches for a Better Data Structure Capturing
Hajderanj, L., Chen, D., Grisan, E. and Dudley-McEvoy, S (2020). Single- and Multi-Distribution Dimensionality Reduction Approaches for a Better Data Structure Capturing. IEEE Access. 8, pp. 207141 - 207155. https://doi.org/10.1109/ACCESS.2020.30384603D Super Localized Flow with Locally and Acoustically Activated Nanodroplets and High Frame Rate Imaging Using a Matrix Array
Harput, S (2020). 3D Super Localized Flow with Locally and Acoustically Activated Nanodroplets and High Frame Rate Imaging Using a Matrix Array. IEEE IUS. ONLINE 07 - 11 Sep 2020Detecting and Characterizing the Fabella with High Frame-Rate Ultrasound Imaging
Berthaume, M, Grisan, E and Harput, S (2020). Detecting and Characterizing the Fabella with High Frame-Rate Ultrasound Imaging. IEEE IUS. Online 07 - 11 Sep 2020Quantitative Microvessel Analysis with 3D Super-Resolution Ultrasound and Velocity Mapping
Harput, S (2020). Quantitative Microvessel Analysis with 3D Super-Resolution Ultrasound and Velocity Mapping. IEEE IUS. Online 07 - 11 Sep 2020Localization of a Scatterer in 3D with a Single Measurement and Single Element Transducer
Harput, S (2020). Localization of a Scatterer in 3D with a Single Measurement and Single Element Transducer. IEEE IUS. Online 07 - 11 Sep 2020Effect of Mechanical Index on Repeated Sparse Activation of Nanodroplets in Vivo
Harput, S (2020). Effect of Mechanical Index on Repeated Sparse Activation of Nanodroplets in Vivo. IEEE IUS. Online 07 - 11 Sep 2020Multi-aspect testing and ranking inference to quantify dimorphism in the cytoarchitecture of cerebellum of male, female and intersex individuals: a model applied to bovine brains.
Corain, L., Grisan, E., Graïc, J., Carvajal-Schiaffino, R., Cozzi, B. and Peruffo, A. (2020). Multi-aspect testing and ranking inference to quantify dimorphism in the cytoarchitecture of cerebellum of male, female and intersex individuals: a model applied to bovine brains. Brain structure & function. https://doi.org/10.1007/s00429-020-02147-xPreface to: EndoCV2020Computer Vision in Endoscopy
Ali, S, Daul, C, Rittscher, J, Stoyanov, D and Grisan, E (2020). Preface to: EndoCV2020Computer Vision in Endoscopy. CEUR Workshop Proceedings. 2595.An assay system to evaluate riboflavin/UV-A corneal phototherapy efficacy in a porcine corneal organ culture model
Perazzi, A, Gomiero, C, Corain, Livio, Iacopetti, Ilaria, Grisan, Enrico, Lombardo, Marco, Lombardo, Giuseppe, Salvalaio, Gianni, Contin, Roberta, Patruno, Marco, Martinello, Tiziana and Peruffo, Antonella (2020). An assay system to evaluate riboflavin/UV-A corneal phototherapy efficacy in a porcine corneal organ culture model. Animals. 10, pp. 1-16. https://doi.org/10.3390/ani10040730An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy
Ali, S., Zhou, F., Braden, B., Bailey, A., Yang, S., Cheng, G., Zhang, P., Li, X., Kayser, M., Soberanis-Mukul, R., Albarqouni, S., Wang, X., Wang, C., Watanabe, S., Oksuz, I., Ning, Q., Yang, S., Khan, M.A., Gao, X., Realdon, S., Loshchenov, M., Schnabel, J., East, J., Wagnieres, G., Loschenov, V., Grisan, E., Daul, C., Blondel, W. and Rittscher, J. (2020). An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy. Scientific Reports. 10, p. 2748. https://doi.org/10.1038/s41598-020-59413-5Photoacoustic Super-Resolution Imaging using Laser Activation of Low-Boiling-Point Dye-Coated Nanodroplets in vitro and in vivo
Zhang, G, Dunsby, C, Bamber, J, Tang, MX, Harput, S, Shah, A, Hernandez-Gil, J, Zhu, J, Christensen-Jeffries, K, Brown, J, Long, NJ and Eckersley, RJ (2019). Photoacoustic Super-Resolution Imaging using Laser Activation of Low-Boiling-Point Dye-Coated Nanodroplets in vitro and in vivo. 2019 IEEE International Ultrasonics Symposium (IUS). 06 - 09 Oct 2019 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2019.8926179Minimization of Nanodroplet Activation Time using Focused-Pulses for Droplet-Based Ultrasound Super-Resolution Imaging
Zhang, G, Harput, S, Zhu, J, Christensen-Jeffries, K, Brown, J, Leow, CH, Dunsby, C, Eckersley, RJ and Tang, MX (2019). Minimization of Nanodroplet Activation Time using Focused-Pulses for Droplet-Based Ultrasound Super-Resolution Imaging. 2019 IEEE International Ultrasonics Symposium (IUS). 06 - 09 Oct 2019 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2019.8926067Acoustic Wave Sparsely-Activated Localization Microscopy (AWSALM): In Vivo Fast Ultrasound Super-Resolution Imaging using Nanodroplets
Zhang, G, Weinberg, P, Dunsby, C, Tang, MX, Harput, S, Toulemonde, M, Broughton-Venner, J, Zhu, J, Riemer, K, Christensen-Jeffries, K, Brown, J and Eckersley, RJ (2019). Acoustic Wave Sparsely-Activated Localization Microscopy (AWSALM): In Vivo Fast Ultrasound Super-Resolution Imaging using Nanodroplets. 2019 IEEE International Ultrasonics Symposium (IUS). 06 - 09 Oct 2019 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2019.8926069Activation and 3D Imaging of Phase-change Nanodroplet Contrast Agents with a 2D Ultrasound Probe
Harput, S, Zhang, G, Toulemonde, M, Zhu, J, Christensen-Jeffries, K, Brown, J, Eckersley, RJ, Dunsby, C and Tang, MX (2019). Activation and 3D Imaging of Phase-change Nanodroplet Contrast Agents with a 2D Ultrasound Probe. 2019 IEEE International Ultrasonics Symposium (IUS). 06 - 09 Oct 2019 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2019.8925892In-vivo Barretts esophagus digital pathology stage classification through feature enhancement of confocal laser endomicroscopy
Ghatwary, N, Ahmed, A, Grisan, E, Jalab, H, Bidaut, L and Ye, X (2019). In-vivo Barretts esophagus digital pathology stage classification through feature enhancement of confocal laser endomicroscopy. J Med Imaging (Bellingham). 6 (1). https://doi.org/https://www.doi.org/10.1117/1.JMI.6.1.014502Real-time diameter of the fetal aorta from ultrasound
Savioli, Nicolò, Grisan, Enrico, Visentin, Silvia, Cosmi, Erich, Montana, Giovanni and Lamata, Pablo (2019). Real-time diameter of the fetal aorta from ultrasound. Neural Computing and Applications. https://doi.org/10.1007/s00521-019-04646-3Does Quantification of Carotid Plaque Surface Irregularities Better Detect Symptomatic Plaques Compared to the Subjective Classification?
Rafailidis, V., Chryssogonidis, I., Grisan, E., Xerras, C., Cheimariotis, G-A., Tegos, T., Rafailidis, D., Sidhu, P. and Charitanti-Kouridou, A. (2019). Does Quantification of Carotid Plaque Surface Irregularities Better Detect Symptomatic Plaques Compared to the Subjective Classification? Journal of Ultrasound in Medicine. 38 (12), pp. 3163-3171. https://doi.org/10.1002/jum.15017An ultrasonographic multiparametric carotid plaque risk index associated with cerebrovascular symptomatology: A study comparing color Doppler imaging and contrast-enhanced ultrasonography
Rafailidis, V., Chryssogonidis, I., Xerras, C., Grisan, E., Cheimariotis, G-A., Tegos, T., Rafailidis, P.S., Sidhu, P.S. and Charitanti-Kouridou, A. (2019). An ultrasonographic multiparametric carotid plaque risk index associated with cerebrovascular symptomatology: A study comparing color Doppler imaging and contrast-enhanced ultrasonography. American Journal of Neuroradiology. 40 (6), pp. 1022-1028. https://doi.org/10.3174/ajnr.A6056The motor cortex of the sheep: laminar organization, projections and diffusion tensor imaging of the intracranial pyramidal and extrapyramidal tracts
Peruffo, A., Corain, L., Bombardi, C., Centelleghe, C., Grisan, E., Graïc, J-M, Bontempi, P., Grandis, A. and Cozzi, B. (2019). The motor cortex of the sheep: laminar organization, projections and diffusion tensor imaging of the intracranial pyramidal and extrapyramidal tracts. Brain Structure and Function. 224 (5), pp. 1933-1946. https://doi.org/10.1007/s00429-019-01885-xBuilding a reduced dictionary of relevant perfusion patterns from CEUS data for the classification of testis lesions
Favaron, T., Huang, D.Y., Christensen-Jeffries, K., Eckersley, R., Sidhu, P.S. and Grisan, E. (2019). Building a reduced dictionary of relevant perfusion patterns from CEUS data for the classification of testis lesions. 2019 IEEE 16th International Symposium on Biomedical Imaging. Venice, Italy 08 - 11 Apr 2019 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ISBI.2019.8759528Deep Convolutional Neural Network for Survival Estimation of Amyotrophic Lateral Sclerosis patients
Grisan, E., Zandon`a, A. and Di Camillo, B. (2019). Deep Convolutional Neural Network for Survival Estimation of Amyotrophic Lateral Sclerosis patients. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium 24 - 26 Apr 2019 i6doc.Prediction of Adverse Glycemic Events from Continuous Glucose Monitoring Signal
Gadaleta, M., Facchinetti, A., Grisan, E. and Rossi, M. (2019). Prediction of Adverse Glycemic Events from Continuous Glucose Monitoring Signal. IEEE Journal of Biomedical and Health Informatics. 23 (2). https://doi.org/10.1109/JBHI.2018.2823763Sparse Image Reconstruction for Contrast Enhanced Cardiac Ultrasound using Diverging Waves
Stanziola, A., Toulemonde, M., Papadopoulou, V., Corbett, R., Duncan, N., Grisan, E. and Tang, M-X. (2019). Sparse Image Reconstruction for Contrast Enhanced Cardiac Ultrasound using Diverging Waves. IEEE International Ultrasonics Symposium 2019. Glasgow 09 2009 - 06 Oct 2019 Institute of Electrical and Electronics Engineers (IEEE).Poisson Statistical Model of Ultrasound Super-Resolution Imaging Acquisition Time
Christensen-Jeffries, K., Brown, J., Harput, S., Zhang, G., Zhu, J., Tang, M-X., Dunsby, C. and Eckersley, R.J. (2019). Poisson Statistical Model of Ultrasound Super-Resolution Imaging Acquisition Time. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. https://doi.org/10.1109/tuffc.2019.2916603High frame rate contrast enhanced ultrasound imaging for slow flow: influence of ultrasound pressure and flow rate on bubble disruption and image persistence
Zhu, J., Lin, S., Leow, C.H., Rowland, E.M., Riemer, K., Harput, S., Weinberg, P.D. and Tang, M-X. (2019). High frame rate contrast enhanced ultrasound imaging for slow flow: influence of ultrasound pressure and flow rate on bubble disruption and image persistence. Ultrasound in Medicine and Biology. 45 (9), pp. 2456-2470. https://doi.org/10.1016/j.ultrasmedbio.2019.05.016Super resolution ultrasound image filtering with machine learning to reduce the localization error
Harput, S., Fong, L.H., Stanziola, A., Zhang, G., Toulemonde, M., Zhou, J., Christensen-Jeffries, K., Brown, J., Eckersley, R., Grisan, E., Dunsby, C. and Tang, M. (2019). Super resolution ultrasound image filtering with machine learning to reduce the localization error. IEEE International Ultrasonics Symposium 2019. Glasgow 09 2009 - 06 Oct 2019 Institute of Electrical and Electronics Engineers (IEEE).High frame rate tri-plane echocardiography with spiral arrays: from simulation to real-time implementation
Ramalli, A., Harput, S., Bizy, S., Boni, E., Eckersley, R.J., Tortoli, P. and D'hooge, J. (2019). High frame rate tri-plane echocardiography with spiral arrays: from simulation to real-time implementation. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 67 (1). https://doi.org/10.1109/TUFFC.2019.29402893-D Super-Resolution Ultrasound Imaging with a 2-D Sparse Array
Harput, S., Christensen-Jeffries, K., Ramalli, A., Brown, J., Zhu, J., Zhang, G., Leow, C-H., Toulemonde, M., Boni, E., Tortoli, P., Eckersley, R.J., Dunsby, C. and Tang, M-X. (2019). 3-D Super-Resolution Ultrasound Imaging with a 2-D Sparse Array. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 67 (2), pp. 269-277. https://doi.org/10.1109/TUFFC.2019.29436463D Super-Resolution US Imaging of Rabbit Lymph Node Vasculature in Vivo by Using Microbubbles
Zhu, J., Rowland, E.M., Harput, S., Riemer, K., Leow, C.H., Clark, B., Lim, A., Christensen-Jeffries K, Zhang, G., Brown, J., Dunsby, C., Eckerslet, R.J., Weinberg, P.D. and Tang, M.X (2019). 3D Super-Resolution US Imaging of Rabbit Lymph Node Vasculature in Vivo by Using Microbubbles. Radiology. 291 (3), pp. 642-650. https://doi.org/10.1148/radiol.2019182593Investigation of Microbubble Detection Methods for Super-Resolution Imaging of Microvasculature
Brown, J., Christensen-Jeffries, K., Harput, S., Zhang, G., Zhu, J., Dunsby, C., Tang, M-X. and Eckersley, R.J. (2019). Investigation of Microbubble Detection Methods for Super-Resolution Imaging of Microvasculature. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 66 (4), pp. 676-691. https://doi.org/10.1109/TUFFC.2019.2894755Fast acoustic wave sparsely activated localization microscopy (fast-AWSALM): ultrasound super-resolution using plane-wave activation of nanodroplets
Zhang, G., Harput, S., Hu, H., Christensen-Jeffries, K., Zhu, J., Brown, J., Leow, C.H., Eckersley, R., Dunsby, R. and Tang, M-X. (2019). Fast acoustic wave sparsely activated localization microscopy (fast-AWSALM): ultrasound super-resolution using plane-wave activation of nanodroplets. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 66 (6), pp. 1039-1046. https://doi.org/10.1109/TUFFC.2019.2906496Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound
Savioli, N., Visentin, S., Cosmi, E., Grisan, E., Lamata, P. and Montana, G. (2018). Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound. Artificial Neural Networks and Machine Learning – ICANN 2018. Rhodes, Greece 04 - 07 Oct 2018 Springer. https://doi.org/10.1007/978-3-030-01421-6_153D Ultrasound Image Guidance and Therapy Through the Rib Cage with a Therapeutic Random Phased Array
Zubair, M., Harput, S. and Dickinson, R. J. (2018). 3D Ultrasound Image Guidance and Therapy Through the Rib Cage with a Therapeutic Random Phased Array. 2018 IEEE International Ultrasonics Symposium (IUS). Kobe, Japan 22 - 25 Oct 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2018.8579835New Denoising Unsharp Masking Method for Improved Intima Media Thickness Measurements with Active Contour Segmentation
Moubark, A.M., Cowell, D.M.J., Harput, S. and Freear, S. (2018). New Denoising Unsharp Masking Method for Improved Intima Media Thickness Measurements with Active Contour Segmentation. 2018 IEEE International Ultrasonics Symposium (IUS). Kobe, Japan 22 - 25 Oct 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2018.8579733Fast Acoustic Wave Sparsely Activated Localization Microscopy (Fast-AWSALM) Using Octafluoropropane N Anodroplets
Zhang, G., Harput, S., Hu, H., Christensen-Jeffries K, Zhu, J., Brown, J., Leow, C.H., Dunsby, C., Eckersley, R.J. and Tang, M.X. (2018). Fast Acoustic Wave Sparsely Activated Localization Microscopy (Fast-AWSALM) Using Octafluoropropane N Anodroplets. 2018 IEEE International Ultrasonics Symposium (IUS). Kobe, Japan 22 - 25 Oct 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2018.8580192Development of Simultaneous Optical Imaging and Super-Resolution Ultrasound to Improve Microbubble Localization Accuracy
Harput, S. (2018). Development of Simultaneous Optical Imaging and Super-Resolution Ultrasound to Improve Microbubble Localization Accuracy. 2018 IEEE International Ultrasonics Symposium (IUS). Kobe, Japan 22 - 25 Oct 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2018.85802123D in Vitro Ultrasound Super-Resolution Imaging Using a Clinical System
Christensen-Jeffries, K, Harput, S., Brown, J., Zhang, G., Zhu, J., Tang, M.X., Dunsby, C. and Eckersley, R. (2018). 3D in Vitro Ultrasound Super-Resolution Imaging Using a Clinical System. 2018 IEEE International Ultrasonics Symposium (IUS). Kobe, Japan 22 - 25 Oct 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2018.8580144Combining Acoustic Trapping with Plane Wave Imaging for Localized Microbubble Accumulation in Large Vessels
Nie, L., Harput, S., Cowell, D.M.J., Carpenter, T.M., Mclaughlan, J.R. and Freear, S. (2018). Combining Acoustic Trapping with Plane Wave Imaging for Localized Microbubble Accumulation in Large Vessels. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 65 (7), pp. 1193-1204. https://doi.org/10.1109/TUFFC.2018.2838332Acoustic wave sparsely-activated localization microscopy (AWSALM): super-resolution ultrasound imaging using acoustic activation and deactivation of nanodroplets
Zhang, G., Harput, S., Lin, S., Christensen-Jeffries, K, Leow, C.H., Brown, J., Dunsby, C., Eckersley, R. and Tang, M. (2018). Acoustic wave sparsely-activated localization microscopy (AWSALM): super-resolution ultrasound imaging using acoustic activation and deactivation of nanodroplets. Applied Physics Letters. 113.Two-stage motion correction for super-resolution ultrasound imaging in human lower limb
Harput, S., Christensen-Jeffries, K., Brown, J., Yuanwei, L., Williams, K.J., Davies, A.H., Eckersley, R., Dunsby, C.W. and Tang, M. (2018). Two-stage motion correction for super-resolution ultrasound imaging in human lower limb. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 65 (5), pp. 803-814. https://doi.org/10.1109/TUFFC.2018.28248463-D super-resolution ultrasound (SR-US) imaging using a 2-D sparse array with high volumetric imaging rate
Harput, S., Christensen-Jeffries, K., Brown, J., Zhu, J., Zhang, G., Leow, C.H., Toulemonde, M., Ramalli, A., Boni, E., Tortoli, P., Eckersley, R.J., Dunsby, C. and Tang, M. (2018). 3-D super-resolution ultrasound (SR-US) imaging using a 2-D sparse array with high volumetric imaging rate. 2018 IEEE International Ultrasonics Symposium (IUS). Kobe, Japan 22 - 25 Oct 2018 Institute of Electrical and Electronics Engineers (IEEE).3-D motion correction for volumetric super-resolution ultrasound (SR-US) imaging
Harput, S., Christensen-Jeffries, K, Brown, J., Zhu, J., Zhang, G., Eckersley, R.J., Dunsby C. and Tang, M. (2018). 3-D motion correction for volumetric super-resolution ultrasound (SR-US) imaging. 2018 IEEE International Ultrasonics Symposium (IUS). Kobe, Japan 22 - 25 Oct 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2018.8580145Quantitative imaging by pixel-based contrast-enhanced ultrasound reveals a linear relationship between synovial vascular perfusion and the recruitment of pathogenic IL-17A-F+IL-23+ CD161+ CD4+ T helper cells in psoriatic arthritis joints
Fiocco, U, Stramare, R, Martini, V, Coran, A, Caso, F, Costa, L, Felicetti, M, Rizzo, G, Tonietto, M, Scanu, A, Oliviero, F, Raffeiner, B, Vezzù, M, Lunardi, F, Scarpa, R, Sacerdoti, D, Rubaltelli, L, Punzi, L, Doria, A and Grisan, E (2017). Quantitative imaging by pixel-based contrast-enhanced ultrasound reveals a linear relationship between synovial vascular perfusion and the recruitment of pathogenic IL-17A-F+IL-23+ CD161+ CD4+ T helper cells in psoriatic arthritis joints. Clinical Rheumatology. 36 (2), pp. 391-399. https://doi.org/10.1007/s10067-016-3500-xNew improved unsharp masking methods compatible with ultrasound B-mode imaging
Moubark, AM, Carpenter, TM, Cowell, DMJ, Harput, S and Freear, S (2017). New improved unsharp masking methods compatible with ultrasound B-mode imaging. 2017 IEEE International Ultrasonics Symposium (IUS). 06 - 09 Sep 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2017.8092244High frame rate contrast enhanced ultrasound imaging of lymphatic vessel phantom
Zhu, J, Lin, S, Harput, S, Toulemonde, M, Leow, CH and Tang, MX (2017). High frame rate contrast enhanced ultrasound imaging of lymphatic vessel phantom. 2017 IEEE International Ultrasonics Symposium (IUS). 06 - 09 Sep 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2017.8092326Boosting the Battery Life of Wearables for Health Monitoring Through the Compression of Biosignals
Hooshmand, M, Zordan, D, Del Testa, D, Grisan, E and Rossi, M (2017). Boosting the Battery Life of Wearables for Health Monitoring Through the Compression of Biosignals. IEEE Internet of Things Journal. 4, pp. 1647-1662. https://doi.org/10.1109/JIOT.2017.2689164Detection of a slow-flow component in contrast-enhanced ultrasound of the synovia for the differential diagnosis of arthritis
Rizzo, G, Tonietto, M, Castellaro, M, Raffeiner, B, Coran, A, Fiocco, U, Stramare, R and Grisan, E (2017). Detection of a slow-flow component in contrast-enhanced ultrasound of the synovia for the differential diagnosis of arthritis. SPIE Medical Imaging. Orlando, FL, USA 11 - 16 Feb 2017 SPIE. https://doi.org/10.1117/12.2250818Improving the quantification of contrast enhanced ultrasound using a Bayesian approach
Rizzo, G, Tonietto, M, Castellaro, M, Raffeiner, B, Coran, A, Fiocco, U, Stramare, R and Grisan, E (2017). Improving the quantification of contrast enhanced ultrasound using a Bayesian approach. SPIE Medical Imaging. Orlando, FL , USA 16 2016 - 11 Feb 2017 SPIE. https://doi.org/10.1117/12.2250195Superpixel-based classification of gastric chromoendoscopy images
Boschetto, D and Grisan, E (2017). Superpixel-based classification of gastric chromoendoscopy images. SPIE Medical Imaging. Orlando, FL, USA 11 - 16 Feb 2017 SPIE. https://doi.org/10.1117/12.2254187Boosted learned kernels for data-driven vesselness measure
Grisan, E (2017). Boosted learned kernels for data-driven vesselness measure. Proceedings Volume 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging; 101370Z (2017). Orlando, FL, USA 11 - 16 Feb 2017 SPIE. https://doi.org/10.1117/12.2250370Cortical Thickness variability in Multiple Sclerosis: The role of lesion segmentation and filling
Palombit, A, Castellaro, M, Calabrese, M, Romualdi, C, Pizzini, FB, Montemezzi, S, Grisan, E and Bertoldo, A (2017). Cortical Thickness variability in Multiple Sclerosis: The role of lesion segmentation and filling. 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017). Melbourne, VIC, Australia 18 - 21 Apr 2017 pp. 792-795 https://doi.org/10.1109/ISBI.2017.7950637From macro to nano: Linking quantitative CEUS perfusion parameters to CD4+ T cells subtypes in spondyloarthtitis
Grisan, E, Rizzo, G, Tonietto, M, Coran, A, Raffeiner, B, Scanu, A, Martini, V, Stramare, R and Fiocco, U (2017). From macro to nano: Linking quantitative CEUS perfusion parameters to CD4+ T cells subtypes in spondyloarthtitis. 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017). Melbourne, VIC, Australia 17 - 21 Apr 2017 Institute of Electrical and Electronics Engineers (IEEE). pp. 899-902 https://doi.org/10.1109/ISBI.2017.7950661Grade and location of power doppler are predictive of damage progression in rheumatoid arthritis patients in clinical remission by anti-tumour necrosis factor α
Raffeiner, B, Grisan, E, Botsios, C, Stramare, R, Rizzo, G, Bernardi, L, Punzi, L, Ometto, F and Doria, A (2017). Grade and location of power doppler are predictive of damage progression in rheumatoid arthritis patients in clinical remission by anti-tumour necrosis factor α. Rheumatology (United Kingdom). 56, pp. 1320-1325. https://doi.org/10.1093/rheumatology/kex084