RAD Rsch Clinical

Research output

Research output per year 1971 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2024

• 825 Article
• 161 Conference contribution
• 35 Review article
• 8 Chapter
• 27 More
  • 8 Letter
  • 6 Comment/debate
  • 5 Editorial
  • 4 Conference article
  • 4 Short survey

Research output per year

Research output per year

Search results

• 2023

  Deep-learning-based automatic segmentation of the placenta and uterine cavity on prenatal MR images

  Huang, J., Do, Q. N., Shahed, M., Xi, Y., Lewis, M. A., Herrera, C. L., Owen, D., Spong, C. Y., Madhuranthakam, A. J., Twickler, D. M. & Fei, B., 2023, Medical Imaging 2023: Computer-Aided Diagnosis. Iftekharuddin, K. M. & Chen, W. (eds.). SPIE, 124650N. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12465).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Deep Learning 100%
  • learning 78%
  • Magnetic resonance imaging 76%
  • Placenta 67%
  • Deep learning 64%

• Topography-based feature extraction of the human placenta from prenatal MR images

  Huang, J., Shahedi, M., Do, Q. N., Xi, Y., Lewis, M. A., Herrera, C. L., Owen, D., Spong, C. Y., Madhuranthakam, A. J., Twickler, D. M. & Fei, B., 2023, Medical Imaging 2023: Image Processing. Colliot, O. & Isgum, I. (eds.). SPIE, 1246420. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12464).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • pattern recognition 100%
  • Topography 93%
  • Magnetic resonance imaging 87%
  • Placenta 77%
  • topography 76%
• 2022

  Automated kidney segmentation by mask R-CNN in T2-weighted magnetic resonance imaging

  Goyal, M., Guo, J., Hinojosa, L., Hulsey, K. & Pedrosa, I., 2022, Medical Imaging 2022: Computer-Aided Diagnosis. Drukker, K. & Iftekharuddin, K. M. (eds.). SPIE, 1203331. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12033).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • kidneys 100%
  • Magnetic Resonance Imaging 90%
  • Masks 84%
  • Magnetic resonance 83%
  • magnetic resonance 73%
  4 Scopus citations

• Automatic Segmentation of Uterine Cavity and Placenta on MR Images Using Deep Learning

  Shahedi, M., Dormer, J. D., Do, Q. N., Xi, Y., Lewis, M. A., Herrera, C. L., Spong, C. Y., Madhuranthakam, A. J., Twickler, D. M. & Fei, B., 2022, Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging. Gimi, B. S. & Krol, A. (eds.). SPIE, 1203611. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12036).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Deep Learning 100%
  • learning 78%
  • Placenta 67%
  • Deep learning 64%
  • Error 54%
  1 Scopus citations

• CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum

  Dormer, J. D., Villordon, M., Shahedi, M., Leitch, KT., Do, Q. N., Xi, Y., Lewis, M. A., Madhuranthakam, A. J., Herrera, C. L., Spong, C. Y., Twickler, D. M. & Fei, B., 2022, Medical Imaging 2022: Image Processing. Colliot, O., Isgum, I., Landman, B. A. & Loew, M. H. (eds.). SPIE, 120320N. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12032).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Placenta Accreta 100%
  • Hysterectomy 69%
  • Pregnant Women 56%
  • Deep Learning 48%
  • High-Risk Pregnancy 45%
  1 Scopus citations

• Efficient 3D Iterative Deconvolution Method for Image Resolution Recovery: Application for Small-Animal PET/CT Imaging Studies

  Slavine, N. V., 2022, 3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2022. Optica Publishing Group (formerly OSA), 3Tu5A.1. (Optics InfoBase Conference Papers).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Deconvolution 100%
  • Image resolution 92%
  • Animals 83%
  • Imaging techniques 66%
  • Recovery 58%

• Placenta accreta spectrum and hysterectomy prediction using MRI radiomic features

  Leitch, KT., Shahedi, M., Dormer, J. D., Do, Q. N., Xi, Y., Lewis, M. A., Herrera, C. L., Spong, C. Y., Madhuranthakam, A. J., Twickler, D. M. & Fei, B., 2022, Medical Imaging 2022: Computer-Aided Diagnosis. Drukker, K. & Iftekharuddin, K. M. (eds.). SPIE, 120331I. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12033).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Placenta Accreta 100%
  • Magnetic resonance imaging 73%
  • Hysterectomy 69%
  • Masks 65%
  • magnetic resonance 63%
  1 Scopus citations

• UDA-CT: A General Framework for CT Image Standardization

  Selim, M., Zhang, J., Fei, B., Lewis, M., Zhang, G. Q. & Chen, J., 2022, Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022. Adjeroh, D., Long, Q., Shi, X., Guo, F., Hu, X., Aluru, S., Narasimhan, G., Wang, J., Kang, M., Mondal, A. M. & Liu, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1698-1701 4 p. (Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Deep Learning 100%
  • Standardization 75%
  • Deep learning 64%
  • Scanner 48%
  • Homogeneity 25%
• 2021

  Assessing reproducibility in magnetic resonance (MR) radiomics features between deep-learning segmented and expert manual segmented data and evaluating their diagnostic performance in pregnant women with suspected placenta accreta spectrum (PAS)

  Xi, Y., Shahedi, M., Do, Q. N., Dormer, J., Lewis, M. A., Fei, B., Spong, C. Y., Madhuranthakam, A. J. & Twickler, D. M., 2021, Medical Imaging 2021: Computer-Aided Diagnosis. Mazurowski, M. A. & Drukker, K. (eds.). SPIE, 115972P. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11597).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Placenta Accreta 100%
  • Deep Learning 96%
  • learning 75%
  • correlation coefficients 75%
  • Magnetic Resonance 72%

• Computational modeling of cancer growth using microvascular input from in vivo microct images

  Zangooei, M. H., Margolis, R. & Hoyt, K., Apr 13 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society, p. 299-302 4 p. 9433960. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • X-Ray Microtomography 100%
  • Tumors 51%
  • Growth 38%
  • Microvessels 38%
  • Nutrients 31%
• 2020

  Assessment of early pancreatic cancer response to targeted hyaluronan treatment with contrast-enhanced ultrasound and photoacoustic imaging

  Rijal, G. & Hoyt, K., Sep 7 2020, IUS 2020 - International Ultrasonics Symposium, Proceedings. IEEE Computer Society, 9251593. (IEEE International Ultrasonics Symposium, IUS; vol. 2020-September).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • tumors 100%
  • cancer 97%
  • drugs 23%
  • animals 22%
  • oxygenation 14%
  1 Scopus citations

• Comparison of pulse sequences used for super-resolution ultrasound imaging with deep learning

  Brown, K. & Hoyt, K., Sep 7 2020, IUS 2020 - International Ultrasonics Symposium, Proceedings. IEEE Computer Society, 9251473. (IEEE International Ultrasonics Symposium, IUS; vol. 2020-September).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • learning 100%
  • pulses 45%
  • inversions 13%
  • scientific visualization 13%
  • pulse amplitude modulation 11%
  3 Scopus citations

• Deep learning implementation of super-resolution ultrasound imaging for tissue decluttering and contrast agent localization

  Brown, K., Waggener, S. C., Redfern, A. D. & Hoyt, K., Sep 7 2020, IUS 2020 - International Ultrasonics Symposium, Proceedings. IEEE Computer Society, 9251701. (IEEE International Ultrasonics Symposium, IUS; vol. 2020-September).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • learning 100%
  • image resolution 30%
  • pixels 21%
  • output 15%
  • linear arrays 14%
  5 Scopus citations

• Early assessment of nonalcoholic fatty liver disease using multiparametric ultrasound imaging

  Basavarajappa, L., Reddy, S., Tai, H., Song, J., Rijal, G., Parker, K. J. & Hoyt, K., Sep 7 2020, IUS 2020 - International Ultrasonics Symposium, Proceedings. IEEE Computer Society, 9251437. (IEEE International Ultrasonics Symposium, IUS; vol. 2020-September).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • liver 100%
  • diets 43%
  • methionine 28%
  • fibrosis 27%
  • choline 26%
  4 Scopus citations

• Evaluating Microelectrode Arrays in Peripheral Nerve Using Micro Computed Tomography

  Frederick, R. A., Margolis, R., Hoyt, K. & Cogan, S. F., Jul 2020, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020. Institute of Electrical and Electronics Engineers Inc., p. 3432-3435 4 p. 9176598. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2020-July).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Microelectrodes 100%
  • Peripheral Nerves 73%
  • Tomography 72%
  • Equipment and Supplies 45%
  • Electrodes 32%
  2 Scopus citations

• Faster motion correction of clinical contrast-enhanced ultrasound imaging using deep learning

  Oezdemir, I., Wessner, C. E., Shaw, C. M., Eisenbrey, J. R. & Hoyt, K., Sep 7 2020, IUS 2020 - International Ultrasonics Symposium, Proceedings. IEEE Computer Society, 9251602. (IEEE International Ultrasonics Symposium, IUS; vol. 2020-September).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • learning 100%
  • correlation coefficients 24%
  • education 22%
  • decoders 15%
  • research projects 14%
  3 Scopus citations

• High-Frequency Quantitative Photoacoustic Imaging and Pixel-Level Tissue Classification

  Basavarajappa, L. & Hoyt, K., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 308-311 4 p. 9098585. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Photoacoustic effect 100%
  • Photoacoustic Techniques 57%
  • Ultrasonics 54%
  • Tissue 54%
  • Ultrasonography 49%
  3 Scopus citations

• H-Scan Format for Classification of Ultrasound Scatterers and Matched Comparison to Histology Measurements

  Khairalseed, M., Rijal, G. & Hoyt, K., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1820-1823 4 p. 9098439. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Histology 100%
  • Ultrasonics 58%
  • Ultrasonography 53%
  • Tumors 27%
  • Gelatin 24%
  9 Scopus citations

• On the potential uses of ultrasound imaging for the detection of anesthesia-induced neuronal apoptosis in the developing brain

  Dolui, S., Reddy, S., De La Pena, J. B., Song, J., Tai, H., Campbell, Z. & Hoyt, K., Sep 7 2020, IUS 2020 - International Ultrasonics Symposium, Proceedings. IEEE Computer Society, 9251436. (IEEE International Ultrasonics Symposium, IUS; vol. 2020-September).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • anesthesia 100%
  • apoptosis 99%
  • brain 67%
  • cortexes 27%
  • animals 15%

• Preoperative Prediction of Lymph Node Metastasis from Clinical DCE MRI of the Primary Breast Tumor Using a 4D CNN

  Nguyen, S., Polat, D., Karbasi, P., Moser, D., Wang, L., Hulsey, K., Çobanoğlu, M. C., Dogan, B. & Montillo, A., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 326-334 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12262 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Metastasis 100%
  • Tumor 69%
  • Magnetic resonance imaging 68%
  • Tumors 66%
  • Neural Networks 61%
  14 Scopus citations

• Simultaneous Evalulation of Contrast Pulse Sequences for Super-Resolution Ultrasound Imaging - Preliminary in Vitro and in Vivo Results

  Brown, K. & Hoyt, K., Jul 2020, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020. Institute of Electrical and Electronics Engineers Inc., p. 2121-2124 4 p. 9176087. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2020-July).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Ultrasonics 100%
  • Ultrasonography 91%
  • Imaging techniques 89%
  • Microbubbles 57%
  • In Vitro Techniques 51%
  3 Scopus citations

• Spatial comparison between the H -scan format for classification of ultrasound scatterers and histology - Preliminary results using an animal model of breast cancer

  Khairalseed, M., Rijal, G. & Hoyt, K., Sep 7 2020, IUS 2020 - International Ultrasonics Symposium, Proceedings. IEEE Computer Society, 9251789. (IEEE International Ultrasonics Symposium, IUS; vol. 2020-September).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • histology 100%
  • animal models 98%
  • breast 75%
  • format 69%
  • cancer 67%
  10 Scopus citations

• Three-dimensional evaluation of microvascular networks using contrast-enhanced ultrasound and microbubble tracking

  Johnson, K., Oezdemir, I. & Hoyt, K., Sep 7 2020, IUS 2020 - International Ultrasonics Symposium, Proceedings. IEEE Computer Society, 9251525. (IEEE International Ultrasonics Symposium, IUS; vol. 2020-September).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • evaluation 100%
  • linear arrays 90%
  • tumors 75%
  • transducers 64%
  • chickens 53%
  3 Scopus citations

• Three-dimensional super-resolution ultrasound imaging of chicken embryos - A validation framework for analysis of microvascular morphology

  Oezdemir, I., Mohr-Allen, S., Peak, K. E., Varner, V. & Hoyt, K., Sep 7 2020, IUS 2020 - International Ultrasonics Symposium, Proceedings. IEEE Computer Society, 9251486. (IEEE International Ultrasonics Symposium, IUS; vol. 2020-September).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • chickens 100%
  • embryos 91%
  • image resolution 52%
  • microscopy 31%
  • transducers 24%
  2 Scopus citations

• Three-Dimensional Voxel-Level Classification of Ultrasound Scattering

  Tai, H., Dolui, S., Khairalseed, M. & Hoyt, K., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1838-1841 4 p. 9098672. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Scattering 100%
  • Ultrasonics 90%
  • Ultrasonography 82%
  • Technology 46%
  • Imaging techniques 40%
  5 Scopus citations

• Ultrasound pulse shaping for improved H -scan imaging and tissue classification

  Dolui, S., Tai, H., Khairalseed, M. & Hoyt, K., Sep 7 2020, IUS 2020 - International Ultrasonics Symposium, Proceedings. IEEE Computer Society, 9251792. (IEEE International Ultrasonics Symposium, IUS; vol. 2020-September).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • pulses 100%
  • experimentation 95%
  • scattering 61%
  • scanners 38%
  • polynomials 35%

• Use of Sonomyographic Sensing to Estimate Knee Angular Velocity during Varying Modes of Ambulation

  Rabe, K. G., Hassan Jahanandish, M., Hoyt, K. & Fey, N. P., Jul 2020, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020. Institute of Electrical and Electronics Engineers Inc., p. 3799-3802 4 p. 9176674. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2020-July).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Angular velocity 100%
  • Walking 81%
  • Knee 74%
  • Self-Help Devices 41%
  • Ultrasonics 39%
  10 Scopus citations

• Use of Sonomyography for Continuous Estimation of Hip, Knee and Ankle Moments during Multiple Ambulation Tasks^∗

  Rabe, K. G., Jahanandish, M. H., Hoyt, K. & Fey, N. P., Nov 2020, 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, BioRob 2020. IEEE Computer Society, p. 1134-1139 6 p. 9224465. (Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics; vol. 2020-November).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Ultrasonics 100%
  • Muscle 72%
  • Analysis of variance (ANOVA) 40%
  • Transducers 37%
  • Patient rehabilitation 36%
  10 Scopus citations
• 2019

  Contrast-enhanced ultrasound imaging of acute changes in pancreatic cancer following targeted hyaluronan treatment

  Oezdemir, I., Javed, K., Rijal, G. & Hoyt, K., Oct 2019, 2019 IEEE International Ultrasonics Symposium, IUS 2019. IEEE Computer Society, p. 2303-2306 4 p. 8925558. (IEEE International Ultrasonics Symposium, IUS; vol. 2019-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • tumors 100%
  • cancer 97%
  • drugs 39%
  • animals 25%
  • therapy 24%
  4 Scopus citations

• Deep 3D convolutional neural networks for fast super-resolution ultrasound imaging

  Brown, K., Dormer, J., Fei, B. & Hoyt, K., 2019, Medical Imaging 2019: Ultrasonic Imaging and Tomography. Byram, B. C. & Ruiter, N. V. (eds.). SPIE, 1095502. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10955).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Decomposition Temperature 100%
  • Convolutional neural networks 90%
  • Ultrasonics 84%
  • Ultrasonography 77%
  • Imaging techniques 76%
  7 Scopus citations

• Deep learning in spatiotemporal filtering for super-resolution ultrasound imaging

  Brown, K. & Hoyt, K., Oct 2019, 2019 IEEE International Ultrasonics Symposium, IUS 2019. IEEE Computer Society, p. 1114-1117 4 p. 8926282. (IEEE International Ultrasonics Symposium, IUS; vol. 2019-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • learning 100%
  • signal processing 21%
  • ground truth 16%
  • performance 15%
  • linear arrays 13%
  9 Scopus citations

• Elastrographic assessment of micromotion-induced strain in tissue adjacent to intracortical implants in rat

  Stiller, A. M., Basavarajappa, L., Brown, K., Voit, W., Pancrazio, J. J. & Hoyt, K., Oct 2019, 2019 IEEE International Ultrasonics Symposium, IUS 2019. IEEE Computer Society, p. 435-438 4 p. 8925593. (IEEE International Ultrasonics Symposium, IUS; vol. 2019-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • rats 100%
  • cortexes 23%
  • electrodes 12%
  • polymers 11%
  • silicon 10%
  2 Scopus citations

• Gait phase identification during level, incline and decline ambulation tasks using portable sonomyographic sensing

  Jahanandish, M. H., Rabe, K. G., Fey, N. P. & Hoyt, K., Jun 2019, 2019 IEEE 16th International Conference on Rehabilitation Robotics, ICORR 2019. IEEE Computer Society, p. 988-993 6 p. 8779534. (IEEE International Conference on Rehabilitation Robotics; vol. 2019-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Self-Help Devices 100%
  • Gait 96%
  • Walking 87%
  • Ultrasonics 85%
  • Quadriceps Muscle 54%
  8 Scopus citations

• Image-guided focused ultrasound therapy system and method for improved anticancer drug delivery

  Basavarajappa, L., Rijal, G. & Hoyt, K., Oct 2019, 2019 IEEE International Ultrasonics Symposium, IUS 2019. IEEE Computer Society, p. 2428-2431 4 p. 8925705. (IEEE International Ultrasonics Symposium, IUS; vol. 2019-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • drugs 100%
  • tumors 94%
  • therapy 94%
  • delivery 94%
  • dyes 49%
  4 Scopus citations

• Improved quantitative contrast-enhanced ultrasound imaging of hepatocellular carcinoma response to transarterial chemoembolization

  Oezdemir, I., Shaw, C., Eisenbrey, J. R. & Hoyt, K., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1737-1740 4 p. 8759238. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Ultrasonics 100%
  • Hepatocellular Carcinoma 94%
  • Ultrasonography 91%
  • Imaging techniques 89%
  • Microvessels 59%
  8 Scopus citations

• Multiscale quantification of tumor microarchitecture for predicting therapy response using dynamic contrast-enhanced ultrasound imaging

  Oezdemir, I., Wessner, C. E., Shaw, C., Eisenbrey, J. R. & Hoyt, K., Oct 2019, 2019 IEEE International Ultrasonics Symposium, IUS 2019. IEEE Computer Society, p. 1173-1176 4 p. 8926152. (IEEE International Ultrasonics Symposium, IUS; vol. 2019-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • dynamic response 100%
  • tumors 89%
  • therapy 88%
  • vessels 83%
  • image processing 31%
  6 Scopus citations

• Prediction of distal lower-limb motion using ultrasound-derived features of proximal skeletal muscle

  Jahanandish, M. H., Fey, N. P. & Hoyt, K., Jun 2019, 2019 IEEE 16th International Conference on Rehabilitation Robotics, ICORR 2019. IEEE Computer Society, p. 71-76 6 p. 8779360. (IEEE International Conference on Rehabilitation Robotics; vol. 2019-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Muscle 100%
  • Ultrasonics 91%
  • Lower Extremity 87%
  • Skeletal Muscle 85%
  • Motion estimation 48%
  5 Scopus citations

• Toward noninvasive pressue estimation using ultrasound and phase-change contrast agents

  Raut, S., Khairalseed, M., Honari, A., Sirsi, S. & Hoyt, K., Oct 2019, 2019 IEEE International Ultrasonics Symposium, IUS 2019. IEEE Computer Society, p. 139-142 4 p. 8925815. (IEEE International Ultrasonics Symposium, IUS; vol. 2019-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • activation 100%
  • tumors 90%
  • interstitials 80%
  • thresholds 38%
  • pressure measurement 34%
  3 Scopus citations
• 2018

  Image enhancement method for digital mammography

  Slavine, N. V., Seiler, S., Blackburn, T. J. & Lenkinski, R. E., 2018, Medical Imaging 2018: Image Processing. Angelini, E. D., Angelini, E. D. & Landman, B. A. (eds.). SPIE, 105740G. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10574).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Selenium 100%
  • Image Enhancement 92%
  • image enhancement 91%
  • Mammography 82%
  • Deconvolution 74%
  2 Scopus citations
• 2017

  Detection of early tumor response to abraxane using H-scan imaging: Preliminary results in a small animal model of breast cancer

  Khairalseed, M., Xiong, F., Mattrey, R., Parker, K. & Hoyt, K., Oct 31 2017, 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 8092472. (IEEE International Ultrasonics Symposium, IUS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • animal models 100%
  • breast 76%
  • tumors 69%
  • cancer 67%
  • convolution integrals 37%

• Detection of early tumor response to Abraxane using H-scan imaging: Preliminary results in a small animal model of breast cancer

  Khairalseed, M., Xiong, F., Mattrey, R., Parker, K. & Hoyt, K., Oct 31 2017, 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 8092794

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • animal models 100%
  • breast 76%
  • convolution integrals 75%
  • tumors 69%
  • cancer 67%
  17 Scopus citations

• Feasibility study of direct beta particle detection using gas electron multiplier

  Izudike, B., Yu, J., Chen, W., Sun, X., Balch, G. C. & Jin, M., Oct 16 2017, 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016. Institute of Electrical and Electronics Engineers Inc., 8069521. (2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016; vol. 2017-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Electron multipliers 100%
  • Electron Gas 87%
  • Beta Particles 82%
  • beta particles 71%
  • photomultiplier tubes 61%

• Image enhancement in positron emission mammography

  Slavine, N. V., Seiler, S., McColl, R. W. & Lenkinski, R. E., 2017, Medical Imaging 2017: Image Processing. Angelini, E. D., Styner, M. A. & Angelini, E. D. (eds.). SPIE, 101331J. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10133).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Positrons 100%
  • Image Enhancement 93%
  • image enhancement 92%
  • Mammography 83%
  • Positron 76%

• Monitoring early tumor response to vascular targeted therapy using super-resolution ultrasound imaging

  Ghosh, D., Xiong, F., Mattrey, R., Sirsi, S. & Hoyt, K., Oct 31 2017, 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 8092246

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • tumors 100%
  • therapy 99%
  • drugs 42%
  • prognosis 30%
  • research projects 25%
  26 Scopus citations

• Monitoring early tumor response to vascular targeted therapy using super-resolution ultrasound imaging

  Ghosh, D., Xiong, F., Sirsi, S. R., Mattrey, R., Brekken, R., Kim, J. W. & Hoyt, K., Oct 31 2017, 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 8092944. (IEEE International Ultrasonics Symposium, IUS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • tumors 100%
  • therapy 99%
  • drugs 60%
  • image resolution 34%
  • breast 31%
  11 Scopus citations

• Notice of Removal: Ultrasound-stimulated drug delivery of reconstituted high density lipoprotein nanoparticles: Effects of drug concentration on tumor uptake

  Xiong, F., Xiong, M., Nirupama, S., Sirsi, S., Lacko, A. & Hoyt, K., Oct 31 2017, 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 8092380. (IEEE International Ultrasonics Symposium, IUS; vol. 0).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • lipoproteins 100%
  • drugs 68%
  • tumors 65%
  • delivery 65%
  • nanoparticles 45%
  1 Scopus citations

• Quantifying the impact of type 2 diabetes on brain perfusion using deep neural networks

  Saghafi, B., Garg, P., Wagner, B. C., Smith, S. C., Xu, J., Madhuranthakam, A. J., Jung, Y., Divers, J., Freedman, B. I., Maldjian, J. A. & Montillo, A., 2017, Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - 3rd International Workshop, DLMIA 2017 and 7th International Workshop, ML-CDS 2017 Held in Conjunction with MICCAI 2017, Proceedings. Arbel, T. & Cardoso, M. J. (eds.). Springer Verlag, p. 151-159 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10553 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Diabetes 100%
  • Medical problems 81%
  • Brain 80%
  • Deep neural networks 71%
  • Neural Networks 69%

• Super-resolution ultrasound imaging of the microvasculature in skeletal muscle: A new tool in diabetes research

  Ghosh, D., Peng, J., Sirsi, S., Mattrey, R., Shaul, P. & Hoyt, K., Oct 31 2017, 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 8092303

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • insulin 100%
  • skeletal muscle 90%
  • obesity 41%
  • combat 32%
  • mortality 32%
  5 Scopus citations

• Super-resolution ultrasound imaging of the microvasculature in skeletal muscle: A new tool in diabetes research

  Ghosh, D., Peng, J., Sirsi, S. R., Mineo, C., Mattrey, R., Shaul, P. & Hoyt, K., Oct 31 2017, 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 8092192. (IEEE International Ultrasonics Symposium, IUS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • insulin 100%
  • skeletal muscle 90%
  • animals 56%
  • clamps 41%
  • mice 24%
  8 Scopus citations

• Ultrasound-stimulated drug delivery of reconstituted high-density lipoprotein nanoparticles: Effects of drug concentration on tumor uptake

  Xiong, F., Nirupama, S., Sirsi, S. R., Lacko, A. & Hoyt, K., Oct 31 2017, 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 8092663

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • lipoproteins 100%
  • drugs 68%
  • tumors 65%
  • delivery 65%
  • nanoparticles 45%