Archivio Istituzionale della RicercaMEIBURGER, KRISTEN MARIKO
MEIBURGER, KRISTEN MARIKO
Dipartimento di Elettronica e Telecomunicazioni
Kristen M. Meiburger
027606
Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm
2023 Marzola, Francesco; Meiburger, Kristen; Molinari, Filippo; Salvi, Massimo
cyto‐Knet: An instance segmentation approach for multiple myeloma plasma cells using conditional kernels
2023 Salvi, Massimo; Michielli, Nicola; Meiburger, Kristen M.; Cattelino, Cristina; Cotrufo, Bruna; Giacosa, Matteo; Giovanzana, Chiara; Molinari, Filippo
Development of a Deep Learning–Based System for Optic Nerve Characterization in Transorbital Ultrasound Images on a Multicenter Data Set
2023 Marzola, Francesco; Lochner, Piergiorgio; Naldi, Andrea; Lemor, Robert; Stögbauer, Jakob; Meiburger, Kristen M.
Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study
2023 Marzola, Francesco; Meiburger, Kristen M.; Molinari, Filippo; Salvi, Massimo
Impact of artificial intelligence‐based color constancy on dermoscopical assessment of skin lesions: A comparative study
2023 Branciforti, Francesco; Meiburger, Kristen M.; Zavattaro, Elisa; Veronese, Federica; Tarantino, Vanessa; Mazzoletti, Vanessa; Cristo, Nunzia Di; Savoia, Paola; Salvi, Massimo
Optical coherence tomography angiography for chronic venous insufficiency and venous leg ulcer
2023 Rotunno, Giulia; Deinsberger, Julia; Meiburger, Kristen; Krainz, Lisa; Bugyi, Lukasz; Haindl, Richard; Leitgeb, Rainer; Weber, Benedikt; Drexler, Wolfgang; Liu, Mengyang
Texture analysis of ultrasound images obtained with different beamforming techniques and dynamic ranges – a robustness study
2023 Seoni, Silvia; Matrone, Giulia; Meiburger, Kristen M.
Carotid Ultrasound Boundary Study (CUBS): Technical considerations on an open multi-center analysis of computerized measurement systems for intima-media thickness measurement on common carotid artery longitudinal B-mode ultrasound scans
2022 Meiburger, K. M.; Marzola, F.; Zahnd, G.; Faita, F.; Loizou, C. P.; Laine, N.; Carvalho, C.; Steinman, D. A.; Gibello, L.; Bruno, R. M.; Clarenbach, R.; Francesconi, M.; Nicolaides, A. N.; Liebgott, H.; Campilho, A.; Ghotbi, R.; Kyriacou, E.; Navab, N.; Griffin, M.; Panayiotou, A. G.; Gherardini, R.; Varetto, G.; Bianchini, E.; Pattichis, C. S.; Ghiadoni, L.; Rouco, J.; Orkisz, M.; Molinari, F.
DermoCC-GAN: A new approach for standardizing dermatological images using generative adversarial networks
2022 Salvi, Massimo; Branciforti, Francesco; Veronese, Federica; Zavattaro, Elisa; Tarantino, Vanessa; Savoia, Paola; Meiburger, Kristen M
Detecting anatomical characteristics of single motor units by combining high density electromyography and ultrafast ultrasound: a simulation study
2022 Carbonaro, M.; Zaccardi, S.; Seoni, S.; Meiburger, K. M.; Botter, A.
Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images
2022 Salvi, Massimo; DE SANTI, Bruno; Pop, Bianca; Bosco, Martino; Giannini, Valentina; Regge, Daniele; Molinari, Filippo; Meiburger, Kristen M.
Physical and electrophysiological motor unit characteristics are revealed with simultaneous high-density electromyography and ultrafast ultrasound imaging
2022 Carbonaro, Marco; Meiburger, Kristen M; Seoni, Silvia; Hodson-Tole, Emma F; Vieira, Taian; Botter, Alberto
Teledermoscopy in the Diagnosis of Melanocytic and Non-Melanocytic Skin Lesions: NurugoTM Derma Smartphone Microscope as a Possible New Tool in Daily Clinical Practice
2022 Veronese, Federica; Tarantino, Vanessa; Zavattaro, Elisa; Biacchi, Francesca; Airoldi, Chiara; Salvi, Massimo; Seoni, Silvia; Branciforti, Francesco; Meiburger, Kristen M.; Savoia, Paola
Ultrasound Image Beamforming Optimization Using a Generative Adversarial Network
2022 Seoni, S; Salvi, M; Matrone, G; Meiburger, Km
{AKASI} and Near-Infrared Spectroscopy in the combined effectiveness evaluation of an actinic keratoses preventive product in immunocompetent and immunocompromised patients
2022 Veronese, Federica; Seoni, Silvia; Tarantino, Vanessa; Buttafava, Matteo; Airoldi, Chiara; Meiburger, Kristen M.; Zavattaro, Elisa; Savoia, Paola
Automatic segmentation and classification methods using optical coherence tomography angiography (Octa): A review and handbook
2021 Meiburger, K. M.; Salvi, M.; Rotunno, G.; Drexler, W.; Liu, M.
Automatic segmentation of the optic nerve in transorbital ultrasound images using a deep learning approach
2021 Meiburger, Kristen M.; Naldi, Andrea; Lochner, Piergiorgio; Marzola, Francesco
Carotid Ultrasound Boundary Study (CUBS): An Open Multicenter Analysis of Computerized Intima–Media Thickness Measurement Systems and Their Clinical Impact
2021 Meiburger, K. M.; Zahnd, G.; Faita, F.; Loizou, C. P.; Carvalho, C.; Steinman, D. A.; Gibello, L.; Bruno, R. M.; Marzola, F.; Clarenbach, R.; Francesconi, M.; Nicolaides, A. N.; Campilho, A.; Ghotbi, R.; Kyriacou, E.; Navab, N.; Griffin, M.; Panayiotou, A. G.; Gherardini, R.; Varetto, G.; Bianchini, E.; Pattichis, C. S.; Ghiadoni, L.; Rouco, J.; Molinari, F.
Changes in supramaximal M-wave amplitude at different regions of biceps brachii following eccentric exercise of the elbow flexors
2021 Cabral, Hélio V.; Meiburger, Kristen M.; de Oliveira, Liliam F.; Vieira, Taian M.
Deep learning segmentation of transverse musculoskeletal ultrasound images for neuromuscular disease assessment
2021 Marzola, Francesco; van Alfen, Nens; Doorduin, Jonne; Meiburger, Kristen M.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm / Marzola, Francesco; Meiburger, Kristen; Molinari, Filippo; Salvi, Massimo. - ELETTRONICO. - 12465:(2023), p. 39. (Intervento presentato al convegno SPIE MEDICAL IMAGING 2023 tenutosi a San Diego (USA) nel 19-24 Febbraio 2023) [10.1117/12.2653394]. | 1-gen-2023 | Marzola, FrancescoMeiburger, KristenMolinari, FilippoSalvi, Massimo | SPIE_manuscript_vIRIS.docx; Marzola-CanMultiple.pdf |
| cyto‐Knet: An instance segmentation approach for multiple myeloma plasma cells using conditional kernels / Salvi, Massimo; Michielli, Nicola; Meiburger, Kristen M.; Cattelino, Cristina; Cotrufo, Bruna; Giacosa, Matteo; Giovanzana, Chiara; Molinari, Filippo. - In: INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY. - ISSN 0899-9457. - ELETTRONICO. - (2023). [10.1002/ima.22984] | 1-gen-2023 | Salvi, MassimoMichielli, NicolaMeiburger, Kristen M.Cattelino, CristinaCotrufo, BrunaGiacosa, MatteoMolinari, Filippo + | (2023) paper - cyto plasma cells.pdf |
| Development of a Deep Learning–Based System for Optic Nerve Characterization in Transorbital Ultrasound Images on a Multicenter Data Set / Marzola, Francesco; Lochner, Piergiorgio; Naldi, Andrea; Lemor, Robert; Stögbauer, Jakob; Meiburger, Kristen M.. - In: ULTRASOUND IN MEDICINE AND BIOLOGY. - ISSN 0301-5629. - STAMPA. - (2023). [10.1016/j.ultrasmedbio.2023.05.011] | 1-gen-2023 | Francesco MarzolaKristen M. Meiburger + | Marzola-Development.pdf; UMB_accepted_version.pdf |
| Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study / Marzola, Francesco; Meiburger, Kristen M.; Molinari, Filippo; Salvi, Massimo. - ELETTRONICO. - (2023), pp. 1-5. (Intervento presentato al convegno 2023 24th International Conference on Digital Signal Processing (DSP) tenutosi a Rhodes (Rodos), Greece nel 11-13 June 2023) [10.1109/DSP58604.2023.10167892]. | 1-gen-2023 | Marzola, FrancescoMeiburger, Kristen M.Molinari, FilippoSalvi, Massimo | DSP2023_paper_IMT_v5.pdf; Marzola-Exploring.pdf |
| Impact of artificial intelligence‐based color constancy on dermoscopical assessment of skin lesions: A comparative study / Branciforti, Francesco; Meiburger, Kristen M.; Zavattaro, Elisa; Veronese, Federica; Tarantino, Vanessa; Mazzoletti, Vanessa; Cristo, Nunzia Di; Savoia, Paola; Salvi, Massimo. - In: SKIN RESEARCH AND TECHNOLOGY. - ISSN 0909-752X. - STAMPA. - 29:11(2023). [10.1111/srt.13508] | 1-gen-2023 | Branciforti, FrancescoMeiburger, Kristen M.Salvi, Massimo + | (2023) paper - impacr color constancy.pdf |
| Optical coherence tomography angiography for chronic venous insufficiency and venous leg ulcer / Rotunno, Giulia; Deinsberger, Julia; Meiburger, Kristen; Krainz, Lisa; Bugyi, Lukasz; Haindl, Richard; Leitgeb, Rainer; Weber, Benedikt; Drexler, Wolfgang; Liu, Mengyang. - ELETTRONICO. - 12627:(2023), p. 85. (Intervento presentato al convegno European Conferences on Biomedical Optics (ECBO) tenutosi a Munich (DE) nel 25 - 29 June 2023) [10.1117/12.2670767]. | 1-gen-2023 | Rotunno, GiuliaMeiburger, Kristen + | 2023_SPIE_ECBO.pdf; Optical_Coherence_Tomography_Angiography_for_Chronic_Venous_Insufficiency.pdf |
| Texture analysis of ultrasound images obtained with different beamforming techniques and dynamic ranges – a robustness study / Seoni, Silvia; Matrone, Giulia; Meiburger, Kristen M.. - In: ULTRASONICS. - ISSN 0041-624X. - STAMPA. - 131:(2023), p. 106940. [10.1016/j.ultras.2023.106940] | 1-gen-2023 | Seoni, SilviaMeiburger, Kristen M. + | 2023_TextureBeamforming.pdf; TextureBeamforming-Ultrasonics-R3-v2.docx |
| Carotid Ultrasound Boundary Study (CUBS): Technical considerations on an open multi-center analysis of computerized measurement systems for intima-media thickness measurement on common carotid artery longitudinal B-mode ultrasound scans / Meiburger, K. M.; Marzola, F.; Zahnd, G.; Faita, F.; Loizou, C. P.; Laine, N.; Carvalho, C.; Steinman, D. A.; Gibello, L.; Bruno, R. M.; Clarenbach, R.; Francesconi, M.; Nicolaides, A. N.; Liebgott, H.; Campilho, A.; Ghotbi, R.; Kyriacou, E.; Navab, N.; Griffin, M.; Panayiotou, A. G.; Gherardini, R.; Varetto, G.; Bianchini, E.; Pattichis, C. S.; Ghiadoni, L.; Rouco, J.; Orkisz, M.; Molinari, F.. - In: COMPUTERS IN BIOLOGY AND MEDICINE. - ISSN 0010-4825. - ELETTRONICO. - 144:(2022), p. 105333. [10.1016/j.compbiomed.2022.105333] | 1-gen-2022 | Meiburger K. M.Marzola F.Molinari F. + | 2022_CUBS_technical.pdf; CUBStechnical_CBMpreproof.pdf |
| DermoCC-GAN: A new approach for standardizing dermatological images using generative adversarial networks / Salvi, Massimo; Branciforti, Francesco; Veronese, Federica; Zavattaro, Elisa; Tarantino, Vanessa; Savoia, Paola; Meiburger, Kristen M. - In: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. - ISSN 0169-2607. - 225:(2022). [10.1016/j.cmpb.2022.107040] | 1-gen-2022 | Salvi, MassimoBranciforti, FrancescoMeiburger, Kristen M + | (2022) paper - dermoCC-GAN.pdf; manuscript.docx |
| Detecting anatomical characteristics of single motor units by combining high density electromyography and ultrafast ultrasound: a simulation study / Carbonaro, M.; Zaccardi, S.; Seoni, S.; Meiburger, K. M.; Botter, A.. - ELETTRONICO. - 2022:(2022), pp. 748-751. (Intervento presentato al convegno 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 tenutosi a Glasgow, Scotland, United Kingdom nel 11-15 July 2022) [10.1109/EMBC48229.2022.9871578]. | 1-gen-2022 | Carbonaro M.Seoni S.Meiburger K. M.Botter A. + | simu_US-EMG EMBC_R1.pdf; Botter-Detecting.pdf |
| Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images / Salvi, Massimo; DE SANTI, Bruno; Pop, Bianca; Bosco, Martino; Giannini, Valentina; Regge, Daniele; Molinari, Filippo; Meiburger, Kristen M.. - In: JOURNAL OF IMAGING. - ISSN 2313-433X. - ELETTRONICO. - 8:5(2022), p. 133. [10.3390/jimaging8050133] | 1-gen-2022 | Massimo SalviBruno De SantiValentina GianniniFilippo MolinariKristen M. Meiburger + | (2022) - paper prostateMRI.pdf |
| Physical and electrophysiological motor unit characteristics are revealed with simultaneous high-density electromyography and ultrafast ultrasound imaging / Carbonaro, Marco; Meiburger, Kristen M; Seoni, Silvia; Hodson-Tole, Emma F; Vieira, Taian; Botter, Alberto. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - ELETTRONICO. - 12:1(2022), p. 8855. [10.1038/s41598-022-12999-4] | 1-gen-2022 | Carbonaro, MarcoMeiburger, Kristen MSeoni, SilviaVieira, TaianBotter, Alberto + | s41598-022-12999-4.pdf |
| Teledermoscopy in the Diagnosis of Melanocytic and Non-Melanocytic Skin Lesions: NurugoTM Derma Smartphone Microscope as a Possible New Tool in Daily Clinical Practice / Veronese, Federica; Tarantino, Vanessa; Zavattaro, Elisa; Biacchi, Francesca; Airoldi, Chiara; Salvi, Massimo; Seoni, Silvia; Branciforti, Francesco; Meiburger, Kristen M.; Savoia, Paola. - In: DIAGNOSTICS. - ISSN 2075-4418. - ELETTRONICO. - 12:6(2022), p. 1371. [10.3390/diagnostics12061371] | 1-gen-2022 | Massimo SalviSilvia SeoniFrancesco BrancifortiKristen M. Meiburger + | 2022_Dermatology_diagnostics.pdf |
| Ultrasound Image Beamforming Optimization Using a Generative Adversarial Network / Seoni, S; Salvi, M; Matrone, G; Meiburger, Km. - ELETTRONICO. - (2022), pp. 1-4. (Intervento presentato al convegno IEEE International Ultrasonics Symposium (IUS) tenutosi a Venice, Italy nel 10-13 October 2022) [10.1109/IUS54386.2022.9957306]. | 1-gen-2022 | Seoni, SSalvi, MMeiburger, KM + | (2022) proceeding GAN BF IUS.pdf; 2117_submitted_version.pdf |
| {AKASI} and Near-Infrared Spectroscopy in the combined effectiveness evaluation of an actinic keratoses preventive product in immunocompetent and immunocompromised patients / Veronese, Federica; Seoni, Silvia; Tarantino, Vanessa; Buttafava, Matteo; Airoldi, Chiara; Meiburger, Kristen M.; Zavattaro, Elisa; Savoia, Paola. - In: FRONTIERS IN MEDICINE. - ISSN 2296-858X. - ELETTRONICO. - 9:(2022). [10.3389/fmed.2022.987696] | 1-gen-2022 | Silvia SeoniKristen M. Meiburger + | fmed-09-987696.pdf |
| Automatic segmentation and classification methods using optical coherence tomography angiography (Octa): A review and handbook / Meiburger, K. M.; Salvi, M.; Rotunno, G.; Drexler, W.; Liu, M.. - In: APPLIED SCIENCES. - ISSN 2076-3417. - ELETTRONICO. - 11:20(2021), p. 9734. [10.3390/app11209734] | 1-gen-2021 | Meiburger K. M.Salvi M.Rotunno G. + | (2021) - paper_OCTA_review.pdf |
| Automatic segmentation of the optic nerve in transorbital ultrasound images using a deep learning approach / Meiburger, Kristen M.; Naldi, Andrea; Lochner, Piergiorgio; Marzola, Francesco. - ELETTRONICO. - (2021), pp. 1-4. (Intervento presentato al convegno 2021 IEEE International Ultrasonics Symposium (IUS) tenutosi a Virtuale nel 11-16 Sept. 2021) [10.1109/IUS52206.2021.9593827]. | 1-gen-2021 | Meiburger, Kristen M.Marzola, Francesco + | 2021_IUS_OpticNerve.pdf; IUS2021-4343-final.pdf |
| Carotid Ultrasound Boundary Study (CUBS): An Open Multicenter Analysis of Computerized Intima–Media Thickness Measurement Systems and Their Clinical Impact / Meiburger, K. M.; Zahnd, G.; Faita, F.; Loizou, C. P.; Carvalho, C.; Steinman, D. A.; Gibello, L.; Bruno, R. M.; Marzola, F.; Clarenbach, R.; Francesconi, M.; Nicolaides, A. N.; Campilho, A.; Ghotbi, R.; Kyriacou, E.; Navab, N.; Griffin, M.; Panayiotou, A. G.; Gherardini, R.; Varetto, G.; Bianchini, E.; Pattichis, C. S.; Ghiadoni, L.; Rouco, J.; Molinari, F.. - In: ULTRASOUND IN MEDICINE AND BIOLOGY. - ISSN 0301-5629. - ELETTRONICO. - 47:8(2021), pp. 2442-2455. [10.1016/j.ultrasmedbio.2021.03.022] | 1-gen-2021 | Meiburger K. M.Marzola F.Molinari F. + | 2021_CUBS.pdf; Meiburger-Carotid.pdf |
| Changes in supramaximal M-wave amplitude at different regions of biceps brachii following eccentric exercise of the elbow flexors / Cabral, Hélio V.; Meiburger, Kristen M.; de Oliveira, Liliam F.; Vieira, Taian M.. - In: EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY. - ISSN 1439-6319. - 121:1(2021), pp. 307-318. [10.1007/s00421-020-04520-4] | 1-gen-2021 | Meiburger, Kristen M.Vieira, Taian M. + | 2021_ChangesInSupramaximalM-waveAmp.pdf; Manuscript-HDEMG_NMES_EIMD-Review4-ChangesIndicated.pdf |
| Deep learning segmentation of transverse musculoskeletal ultrasound images for neuromuscular disease assessment / Marzola, Francesco; van Alfen, Nens; Doorduin, Jonne; Meiburger, Kristen M.. - In: COMPUTERS IN BIOLOGY AND MEDICINE. - ISSN 0010-4825. - ELETTRONICO. - 135:(2021), p. 104623. [10.1016/j.compbiomed.2021.104623] | 1-gen-2021 | Francesco MarzolaKristen M. Meiburger + | 2021_USmuscleDL.pdf; USmuscleCNN_CBM-R2-final-clean.docx |