Magnetite nanoparticles can be coupled to microbubbles to support multimodal imaging TB Brismar, D Grishenkov, B Gustafsson, J Härmark, Å Barrefelt, ... Biomacromolecules 13 (5), 1390-1399, 2012 | 98 | 2012 |
On the interplay of shell structure with low-and high-frequency mechanics of multifunctional magnetic microbubbles M Poehlmann, D Grishenkov, SVVN Kothapalli, J Härmark, H Hebert, ... Soft Matter 10 (1), 214-226, 2014 | 56 | 2014 |
Focused ultrasound-enabled delivery of radiolabeled nanoclusters to the pons D Ye, D Sultan, X Zhang, Y Yue, GS Heo, SVVN Kothapalli, H Luehmann, ... Journal of Controlled Release 283, 143-150, 2018 | 54 | 2018 |
Boiling histotripsy lesion characterization on a clinical magnetic resonance imaging-guided high intensity focused ultrasound system A Eranki, N Farr, A Partanen, K V. Sharma, H Chen, CT Rossi, ... PloS one 12 (3), e0173867, 2017 | 43 | 2017 |
Acoustic characterization and contrast imaging of microbubbles encapsulated by polymeric shells coated or filled with magnetic nanoparticles C Sciallero, D Grishenkov, SVVN Kothapalli, L Oddo, A Trucco The Journal of the Acoustical Society of America 134 (5), 3918-3930, 2013 | 25 | 2013 |
Investigation of polymer-shelled microbubble motions in acoustophoresis SVVN Kothapalli, M Wiklund, B Janerot-Sjoberg, G Paradossi, ... Ultrasonics 70, 275-283, 2016 | 24 | 2016 |
Deep learning using a biophysical model for robust and accelerated reconstruction of quantitative, artifact‐free and denoised images M Torop, SVVN Kothapalli, Y Sun, J Liu, S Kahali, DA Yablonskiy, ... Magnetic resonance in medicine 84 (6), 2932-2942, 2020 | 19 | 2020 |
In vivo evaluation of heme and non-heme iron content and neuronal density in human basal ganglia DA Yablonskiy, J Wen, SVVN Kothapalli, AL Sukstanskii Neuroimage 235, 118012, 2021 | 17 | 2021 |
A convenient, reliable, and fast acoustic pressure field measurement method for magnetic resonance-guided high-intensity focused ultrasound systems with phased array transducers SVVN Kothapalli, A Partanen, L Zhu, MB Altman, HM Gach, DE Hallahan, ... Journal of therapeutic ultrasound 6, 1-8, 2018 | 17 | 2018 |
Evaluation and selection of anatomic sites for magnetic resonance imaging-guided mild hyperthermia therapy: a healthy volunteer study S VVN Kothapalli, MB Altman, L Zhu, A Partanen, G Cheng, HM Gach, ... International Journal of Hyperthermia 34 (8), 1381-1389, 2018 | 15 | 2018 |
Acoustic field characterization of a clinical magnetic resonance‐guided high‐intensity focused ultrasound system inside the magnet bore SVVN Kothapalli, MB Altman, A Partanen, L Wan, HM Gach, W Straube, ... Medical physics 44 (9), 4890-4899, 2017 | 15 | 2017 |
Learning‐based motion artifact removal networks for quantitative mapping X Xu, SVVN Kothapalli, J Liu, S Kahali, W Gan, DA Yablonskiy, ... Magnetic resonance in medicine 88 (1), 106-119, 2022 | 13 | 2022 |
Unique pumping-out fracturing mechanism of a polymer-shelled contrast agent: an acoustic characterization and optical visualization SVVN Kothapalli, V Daeichin, F Mastik, LA Brodin, B Janerot-Sjoberg, ... IEEE transactions on ultrasonics, ferroelectrics, and frequency control 62 …, 2015 | 13 | 2015 |
Assessment of the viscoelastic and oscillation properties of a nano-engineered multimodality contrast agent SVVN Kothapalli, L Oddo, G Paradossi, LÅ Brodin, D Grishenkov Ultrasound in medicine & biology 40 (10), 2476-2487, 2014 | 13 | 2014 |
Quantitative Gradient Echo MRI Identifies Dark Matter as a New Imaging Biomarker of Neurodegeneration that Precedes Tissue Atrophy in Early Alzheimer’s Disease SVVN Kothapalli, TL Benzinger, AJ Aschenbrenner, RJ Perrin, ... Journal of Alzheimer's Disease 85 (2), 905-924, 2022 | 8 | 2022 |
CoRRECT: A deep unfolding framework for motion-corrected quantitative R2* mapping X Xu, W Gan, SVVN Kothapalli, DA Yablonskiy, US Kamilov arXiv preprint arXiv:2210.06330, 2022 | 4 | 2022 |
Ultrasound contrast agents loaded with magnetic nanoparticles: Acoustic and mechanical characterization VVS Kothapalli KTH Royal Institute of Technology, 2013 | 4 | 2013 |
DiffGEPCI: 3D MRI Synthesis from mGRE Signals using 2.5 D Diffusion Model Y Hu, SVVN Kothapalli, W Gan, AL Sukstanskii, GF Wu, M Goyal, ... arXiv preprint arXiv:2311.18073, 2023 | 3 | 2023 |
Deep learning‐based Accelerated and Noise‐Suppressed Estimation (DANSE) of quantitative Gradient‐Recalled Echo (qGRE) magnetic resonance imaging metrics associated with human … S Kahali, SVVN Kothapalli, X Xu, US Kamilov, DA Yablonskiy NMR in Biomedicine 36 (5), e4883, 2023 | 2 | 2023 |
Optimization of driving pulse envelope in detection of harmonic response from a lipid-shelled ultrasound contrast agent SV Kothapalli, D Grishenkov Proc. 19th Int. Congr. Sound Vib.(ICSV), 1882-1889, 2012 | 2 | 2012 |