Satya V.V.N. Kothapalli

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Grishenkov DmitryRoyal Institute of Technology, KTH and Karolinska Institutet Division of Medical Imaging andEmail verificata su kth.se
Dmitriy YablonskiyWashington University in St. LouisEmail verificata su wustl.edu
Gaio ParadossiUniversità di Roma Tor VergataEmail verificata su stc.uniroma2.it
Hong ChenWashington University in St. LouisEmail verificata su wustl.edu
Ari PartanenProfound Medical Inc.Email verificata su profoundmedical.com
Ulugbek S. KamilovAssociate Professor, Computational Imaging Group, Washington University in St. Louis (WashU)Email verificata su wustl.edu
Sayan KahaliTCS Research and Innovation Lab, KolkataEmail verificata su ieee.org
hans hebertprofessor Karolinska Institutet KTH Royal Institute of TechnologyEmail verificata su ki.se
Jiaming LiuPostdoc@Stanford, PhD@WUSTLEmail verificata su stanford.edu
Weijie GanPhD in CSE @ WashUEmail verificata su wustl.edu
Xiaojian XuAI Scientist @ GE Healthcare; PhD in CS @ Washington University in St. LouisEmail verificata su wustl.edu
Manu S GoyalWashington University School of MedicineEmail verificata su mir.wustl.edu
Tammie L.S. Benzinger, MD, PhDProfessor of Radiology and Neurosurgery, Washington University School of Medicine in Saint LouisEmail verificata su wustl.edu
Andreas FeryLeibniz Institut für Polymerforschung Dresden e.V. and Technical University DresdenEmail verificata su ipfdd.de
Alexander SukstanskiiWashington University in St. LouisEmail verificata su wustl.edu
Åsa BarrefeltEmail verificata su ki.se
Torkel BrismarKarolinskaEmail verificata su ki.se
Björn GustafssonKarolinska InstitutetEmail verificata su alumni.chalmers.se
Kenneth Caidahlprofessor clinical physiologyEmail verificata su ki.se
Max ToropPhD Student, Northeastern UniversityEmail verificata su northeastern.edu

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Satya V.V.N. Kothapalli

Instructor at Washington University School of Medicine

Email verificata su wustl.edu

Quantitative Bain MRI and Application of MR-HIFU


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	99	2012
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	62	2018
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
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	48	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	26	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
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	22	2021
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	20	2020
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	19	2017
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	18	2018
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	17	2022
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	17	2014
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	16	2018
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	14	2015
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	11	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	6	2022
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, ... 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-4, 2024	4	2024
Ultrasound contrast agents loaded with magnetic nanoparticles: Acoustic and mechanical characterization VVS Kothapalli KTH Royal Institute of Technology, 2013	4	2013
5th International Symposium on Focused Ultrasound: North Bethesda, MD, USA. 28 August-1 September 2016 M Zaaroor, A Sinai, D Goldsher, A Eran, M Nassar, I Schlesinger, J Parker, ... Journal of Therapeutic Ultrasound 4, 1-113, 2016	3	2016
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

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