Archivio Istituzionale della RicercaMEIBURGER, KRISTEN MARIKO
MEIBURGER, KRISTEN MARIKO
Dipartimento di Elettronica e Telecomunicazioni
Kristen M. Meiburger
027606
A pilot study on the use of high‐frequency photoacoustic imaging for quantitative human skin vasculature analysis
2025 Cotrufo, Bruna; Vallan, Alberto; Seoni, Silvia; Cerone, Giacinto Luigi; Botter, Alberto; Molinari, Filippo; Meiburger, Kristen M.
Exploring uncertainty quantification for photoacoustic image reconstruction and quantitative oxygenation mapping
2025 Seoni, Silvia; Scardigno, Roberto M.; Cotrufo, Bruna; Salvi, Massimo; Brunetti, Antonio; Guerriero, Andrea; Rotunno, Giulia; Buongiorno, Domenico; Vallan, Alberto; Molinari, Filippo; Meiburger, Kristen
Functional nanocrystal as effective contrast agents for dual-mode imaging: Live-cell sonoluminescence and contrast-enhanced echography
2025 Vighetto, V.; Pascucci, E.; Percivalle, N. M.; Troia, A.; Meiburger, K. M.; Broek, M. R. P. van den; Segers, T.; Cauda, V.
Machine learning-driven Heckmatt grading in facioscapulohumeral muscular dystrophy: A novel pathway for musculoskeletal ultrasound analysis
2025 Marzola, Francesco; van Alfen, Nens; Doorduin, Jonne; Meiburger, Kristen M.
All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems
2024 Seoni, Silvia; Shahini, Alen; Meiburger, Kristen M.; Marzola, Francesco; Rotunno, Giulia; Acharya, U. Rajendra; Molinari, Filippo; Salvi, Massimo
CAROTIDNet: A Novel Carotid Symptomatic/Asymptomatic Plaque Detection System Using CNN-Based Tangent Optimization Algorithm in B-Mode Ultrasound Images
2024 Ali, Tanweer; Pathan, Sameena; Salvi, Massimo; Meiburger, Kristen M.; Molinari, Filippo; Acharya, U. Rajendra
cyto‐Knet: An instance segmentation approach for multiple myeloma plasma cells using conditional kernels
2024 Salvi, Massimo; Michielli, Nicola; Meiburger, Kristen M.; Cattelino, Cristina; Cotrufo, Bruna; Giacosa, Matteo; Giovanzana, Chiara; Molinari, Filippo
Generative models for color normalization in digital pathology and dermatology: Advancing the learning paradigm
2024 Salvi, Massimo; Branciforti, Francesco; Molinari, Filippo; Meiburger, Kristen M.
Hybrid Wavelet‐Deep Learning Framework for Fluorescence Microscopy Images Enhancement
2024 Branciforti, Francesco; Maggiore, Maura; Meiburger, Kristen M.; Pannellini, Tania; Salvi, Massimo
Model-Based Image Reconstruction for Linear Array Optoacoustic Imaging
2024 Scardigno, Roberto M.; Seoni, Silvia; Dehner, Christoph; Brunetti, Antonio; Buongiorno, Domenico; Zahnd, Guillaume; Meiburger, Kristen M.
Optical coherence tomography angiography enables visualization of microvascular patterns in chronic venous insufficiency
2024 Rotunno, Giulia; Deinsberger, Julia; Meiburger, Kristen M.; Krainz, Lisa; Bugyi, Lukasz; Hacker, Valentin; Haindl, Richard; Leitgeb, Rainer; Sinz, Christoph; Schmetterer, Leopold; Drexler, Wolfgang; Weber, Benedikt; Liu, Mengyang
Segmentation and Multi-Timepoint Tracking of 3D Cancer Organoids from Optical Coherence Tomography Images Using Deep Neural Networks
2024 Branciforti, Francesco; Salvi, Massimo; D'Agostino, Filippo; Marzola, Francesco; Cornacchia, Sara; De Titta, Maria Olimpia; Mastronuzzi, Girolamo; Meloni, Isotta; Moschetta, Miriam; Porciani, Niccolò; Sciscenti, Fabrizio; Spertini, Alessandro; Spilla, Andrea; Zagaria, Ilenia; Deloria, Abigail J.; Deng, Shiyu; Haindl, Richard; Szakacs, Gergely; Csiszar, Agnes; Liu, Mengyang; Drexler, Wolfgang; Molinari, Filippo; Meiburger, Kristen M.
Softmax-Driven Active Shape Model for Segmenting Crowded Objects in Digital Pathology Images
2024 Salvi, Massimo; Meiburger, Kristen M.; Molinari, Filippo
Ultrafast ultrasound imaging with a matrix array and sparse random aperture for single motor unit activation analysis
2024 Carbonaro, Marco; Seoni, Silvia; Nardella, Melania; Botter, Alberto; Meiburger, Kristen M.
Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm
2023 Marzola, Francesco; Meiburger, Kristen; Molinari, Filippo; Salvi, Massimo
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
Innovative temporal loss function for segmentation of fine structures in ultrasound images
2023 Marzola, Francesco; Meiburger, Kristen M.; 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
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| A pilot study on the use of high‐frequency photoacoustic imaging for quantitative human skin vasculature analysis / Cotrufo, Bruna; Vallan, Alberto; Seoni, Silvia; Cerone, Giacinto Luigi; Botter, Alberto; Molinari, Filippo; Meiburger, Kristen M.. - 13319:(2025), pp. 1-5. (Intervento presentato al convegno SPIE Photonics West - BiOS tenutosi a San Francisco (USA) nel 25-31 January 2025) [10.1117/12.3043644]. | 1-gen-2025 | Cotrufo, BrunaVallan, AlbertoSeoni, SilviaCerone, Giacinto LuigiBotter, AlbertoMolinari, FilippoMeiburger, Kristen M. | 2025_SPIE_HFprobe.pdf; 2025_SPIE_HFprobe.pdf |
| Exploring uncertainty quantification for photoacoustic image reconstruction and quantitative oxygenation mapping / Seoni, Silvia; Scardigno, Roberto M.; Cotrufo, Bruna; Salvi, Massimo; Brunetti, Antonio; Guerriero, Andrea; Rotunno, Giulia; Buongiorno, Domenico; Vallan, Alberto; Molinari, Filippo; Meiburger, Kristen. - 13319:(2025), pp. 1-6. (Intervento presentato al convegno SPIE Photonics West - BiOS tenutosi a San Francisco (USA) nel 25-31 January 2025) [10.1117/12.3043687]. | 1-gen-2025 | Seoni, SilviaCotrufo, BrunaSalvi, MassimoRotunno, GiuliaVallan, AlbertoMolinari, FilippoMeiburger, Kristen + | 2025_SPIE_UQ.pdf; 2025_SPIE_UQ.pdf |
| Functional nanocrystal as effective contrast agents for dual-mode imaging: Live-cell sonoluminescence and contrast-enhanced echography / Vighetto, V.; Pascucci, E.; Percivalle, N. M.; Troia, A.; Meiburger, K. M.; Broek, M. R. P. van den; Segers, T.; Cauda, V.. - In: ULTRASONICS SONOCHEMISTRY. - ISSN 1350-4177. - 113:(2025). [10.1016/j.ultsonch.2025.107242] | 1-gen-2025 | Vighetto, V.Pascucci, E.Percivalle, N. M.Meiburger, K. M.Cauda, V. + | 1-s2.0-S1350417725000215-main.pdf |
| Machine learning-driven Heckmatt grading in facioscapulohumeral muscular dystrophy: A novel pathway for musculoskeletal ultrasound analysis / Marzola, Francesco; van Alfen, Nens; Doorduin, Jonne; Meiburger, Kristen M.. - In: CLINICAL NEUROPHYSIOLOGY. - ISSN 1388-2457. - 172:(2025), pp. 61-69. [10.1016/j.clinph.2025.01.016] | 1-gen-2025 | Marzola, FrancescoMeiburger, Kristen M. + | 2025_HeckmattML.pdf |
| All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems / Seoni, Silvia; Shahini, Alen; Meiburger, Kristen M.; Marzola, Francesco; Rotunno, Giulia; Acharya, U. Rajendra; Molinari, Filippo; Salvi, Massimo. - In: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. - ISSN 0169-2607. - ELETTRONICO. - 250:(2024). [10.1016/j.cmpb.2024.108200] | 1-gen-2024 | Seoni, SilviaShahini, AlenMeiburger, Kristen M.Marzola, FrancescoRotunno, GiuliaMolinari, FilippoSalvi, Massimo + | (2024) paper - review harmonization.pdf |
| CAROTIDNet: A Novel Carotid Symptomatic/Asymptomatic Plaque Detection System Using CNN-Based Tangent Optimization Algorithm in B-Mode Ultrasound Images / Ali, Tanweer; Pathan, Sameena; Salvi, Massimo; Meiburger, Kristen M.; Molinari, Filippo; Acharya, U. Rajendra. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 12:(2024), pp. 73970-73979. [10.1109/access.2024.3404023] | 1-gen-2024 | Salvi, MassimoMeiburger, Kristen M.Molinari, Filippo + | CAROTIDNet_A_Novel_Carotid_Symptomatic_Asymptomatic_Plaque_Detection_System_Using_CNN-Based_Tangent_Optimization_Algorithm_in_B-Mode_Ultrasound_Images.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. - 34:1(2024). [10.1002/ima.22984] | 1-gen-2024 | Salvi, MassimoMichielli, NicolaMeiburger, Kristen M.Cattelino, CristinaCotrufo, BrunaGiacosa, MatteoMolinari, Filippo + | Salvi-cyto-Knet.pdf |
| Generative models for color normalization in digital pathology and dermatology: Advancing the learning paradigm / Salvi, Massimo; Branciforti, Francesco; Molinari, Filippo; Meiburger, Kristen M.. - In: EXPERT SYSTEMS WITH APPLICATIONS. - ISSN 0957-4174. - STAMPA. - 245:(2024). [10.1016/j.eswa.2023.123105] | 1-gen-2024 | Salvi, MassimoBranciforti, FrancescoMolinari, FilippoMeiburger, Kristen M. | (2024) - GSN-GAN_compressed.pdf |
| Hybrid Wavelet‐Deep Learning Framework for Fluorescence Microscopy Images Enhancement / Branciforti, Francesco; Maggiore, Maura; Meiburger, Kristen M.; Pannellini, Tania; Salvi, Massimo. - In: INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY. - ISSN 0899-9457. - STAMPA. - 34:6(2024). [10.1002/ima.23212] | 1-gen-2024 | Branciforti, FrancescoMaggiore, MauraMeiburger, Kristen M.Salvi, Massimo + | (2024) paper - Hybrid fluorescence.pdf |
| Model-Based Image Reconstruction for Linear Array Optoacoustic Imaging / Scardigno, Roberto M.; Seoni, Silvia; Dehner, Christoph; Brunetti, Antonio; Buongiorno, Domenico; Zahnd, Guillaume; Meiburger, Kristen M.. - (2024), pp. 1-4. (Intervento presentato al convegno 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, UFFC-JS 2024 tenutosi a Taipei (Twn) nel 22-26 September 2024) [10.1109/uffc-js60046.2024.10793784]. | 1-gen-2024 | Seoni, SilviaMeiburger, Kristen M. + | 2024_IUS_ModelBased.pdf; 2024_IUS_ModelBasedReconstruction.pdf |
| Optical coherence tomography angiography enables visualization of microvascular patterns in chronic venous insufficiency / Rotunno, Giulia; Deinsberger, Julia; Meiburger, Kristen M.; Krainz, Lisa; Bugyi, Lukasz; Hacker, Valentin; Haindl, Richard; Leitgeb, Rainer; Sinz, Christoph; Schmetterer, Leopold; Drexler, Wolfgang; Weber, Benedikt; Liu, Mengyang. - In: ISCIENCE. - ISSN 2589-0042. - 27:11(2024), pp. 1-11. [10.1016/j.isci.2024.110998] | 1-gen-2024 | Rotunno, GiuliaMeiburger, Kristen M. + | PIIS2589004224022235.pdf |
| Segmentation and Multi-Timepoint Tracking of 3D Cancer Organoids from Optical Coherence Tomography Images Using Deep Neural Networks / Branciforti, Francesco; Salvi, Massimo; D'Agostino, Filippo; Marzola, Francesco; Cornacchia, Sara; De Titta, Maria Olimpia; Mastronuzzi, Girolamo; Meloni, Isotta; Moschetta, Miriam; Porciani, Niccolò; Sciscenti, Fabrizio; Spertini, Alessandro; Spilla, Andrea; Zagaria, Ilenia; Deloria, Abigail J.; Deng, Shiyu; Haindl, Richard; Szakacs, Gergely; Csiszar, Agnes; Liu, Mengyang; Drexler, Wolfgang; Molinari, Filippo; Meiburger, Kristen M.. - In: DIAGNOSTICS. - ISSN 2075-4418. - ELETTRONICO. - 14:12(2024). [10.3390/diagnostics14121217] | 1-gen-2024 | Branciforti, FrancescoSalvi, MassimoD'Agostino, FilippoMarzola, FrancescoMastronuzzi, GirolamoMoschetta, MiriamSciscenti, FabrizioMolinari, FilippoMeiburger, Kristen M. + | diagnostics-14-01217.pdf |
| Softmax-Driven Active Shape Model for Segmenting Crowded Objects in Digital Pathology Images / Salvi, Massimo; Meiburger, Kristen M.; Molinari, Filippo. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 12:(2024), pp. 30824-30838. [10.1109/access.2024.3369916] | 1-gen-2024 | Salvi, MassimoMeiburger, Kristen M.Molinari, Filippo | Softmax-Driven_Active_Shape_Model_for_Segmenting_Crowded_Objects_in_Digital_Pathology_Images.pdf |
| Ultrafast ultrasound imaging with a matrix array and sparse random aperture for single motor unit activation analysis / Carbonaro, Marco; Seoni, Silvia; Nardella, Melania; Botter, Alberto; Meiburger, Kristen M.. - (2024), pp. 1-4. (Intervento presentato al convegno 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, UFFC-JS 2024 tenutosi a Taipei (Twn) nel 22-26 September 2024) [10.1109/uffc-js60046.2024.10793525]. | 1-gen-2024 | Carbonaro, MarcoSeoni, SilviaBotter, AlbertoMeiburger, Kristen M. + | 2024_IUS_3DUS_TVS.pdf; 2024_IUS_3DUS_TVS.pdf |
| 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 |
| 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. - 49:9(2023), pp. 2060-2071. [10.1016/j.ultrasmedbio.2023.05.011] | 1-gen-2023 | Francesco MarzolaKristen M. Meiburger + | Marzola-Development.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 |
| Innovative temporal loss function for segmentation of fine structures in ultrasound images / Marzola, Francesco; Meiburger, Kristen M.; Salvi, Massimo. - ELETTRONICO. - (2023). (Intervento presentato al convegno 2023 IEEE International Ultrasonics Symposium (IUS) tenutosi a Montreal, QC, Canada nel 03-08 September 2023) [10.1109/IUS51837.2023.10308305]. | 1-gen-2023 | Marzola, FrancescoMeiburger, Kristen M.Salvi, Massimo | (2023) proceeding - temporal loss IUS.pdf; IUS23_Francesco_Marzola.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 |