MEIBURGER, KRISTEN MARIKO

MEIBURGER, KRISTEN MARIKO  

Dipartimento di Elettronica e Telecomunicazioni  

Kristen M. Meiburger  

027606  

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Risultati 1 - 20 di 111 (tempo di esecuzione: 0.043 secondi).
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.pdf2025_SPIE_HFprobe.pdf
Adversarial learning for beamforming domain transfer in ultrasound medical imaging / Seoni, Silvia; Salvi, Massimo; Matrone, Giulia; Lapia, Francesco; Busso, Chiara; Minetto, Marco A.; Meiburger, Kristen M.. - In: ULTRASONICS. - ISSN 0041-624X. - 156:(2025). [10.1016/j.ultras.2025.107749] 1-gen-2025 Seoni, SilviaSalvi, MassimoMeiburger, Kristen M. + (2025) paper - GAN beamforming.pdf
DERMA-OCTA: A Comprehensive Dataset and Preprocessing Pipeline for Dermatological OCTA Vessel Segmentation / Rotunno, Giulia; Salvi, Massimo; Deinsberger, Julia; Krainz, Lisa; Weber, Benedikt; Sinz, Christoph; Kittler, Harald; Schmetterer, Leopold; Drexler, Wolfgang; Liu, Mengyang; Meiburger, Kristen M.. - In: SCIENTIFIC DATA. - ISSN 2052-4463. - 12:1(2025). [10.1038/s41597-025-05763-6] 1-gen-2025 Rotunno, GiuliaSalvi, MassimoMeiburger, Kristen M. + (2025) paper - dataset OCTA.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.pdf2025_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
Leveraging Synthetic Degradation for Effective Training of Super-Resolution Models in Dermatological Images / Branciforti, Francesco; Meiburger, Kristen M.; Zavattaro, Elisa; Savoia, Paola; Salvi, Massimo. - In: ELECTRONICS. - ISSN 2079-9292. - 14:15(2025). [10.3390/electronics14153138] 1-gen-2025 Meiburger, Kristen M.Salvi, Massimo + (2025) paper - DermaSR.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
Multi-Center 3D CNN for Parkinson’s disease diagnosis and prognosis using clinical and T1-weighted MRI data / Basaia, Silvia; Sarasso, Elisabetta; Sciancalepore, Francesco; Balestrino, Roberta; Musicco, Simona; Pisano, Stefano; Stankovic, Iva; Tomic, Aleksandra; Micco, Rosita De; Tessitore, Alessandro; Salvi, Massimo; Meiburger, Kristen M; Kostic, Vladimir S; Molinari, Filippo; Agosta, Federica; Filippi, Massimo. - In: NEUROIMAGE. CLINICAL. - ISSN 2213-1582. - 48:(2025). [10.1016/j.nicl.2025.103859] 1-gen-2025 Salvi, MassimoMeiburger, Kristen MMolinari, Filippo + (2025) paper - Parkinson CNN.pdf
Parametric kernels for artifact mitigation in patch-based image aggregation using generative models / Michielli, Nicola; Marzola, Francesco; Branciforti, Francesco; Meiburger, Kristen M.; Gambella, Alessandro; Salvi, Massimo. - In: COMPUTER VISION AND IMAGE UNDERSTANDING. - ISSN 1077-3142. - 260:(2025). [10.1016/j.cviu.2025.104457] 1-gen-2025 Michielli, NicolaMeiburger, Kristen M.Salvi, Massimo + (2025) paper - parametric kernel.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.pdf2024_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, GirolamoMeloni, IsottaMoschetta, 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.pdf2024_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.docxMarzola-CanMultiple.pdf