A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentation

Autor: Kumar, Avisha, Kotkar, Kunal, Jiang, Kelly, Bhimreddy, Meghana, Davidar, Daniel, Weber-Levine, Carly, Krishnan, Siddharth, Kerensky, Max J., Liang, Ruixing, Leadingham, Kelley Kempski, Routkevitch, Denis, Hersh, Andrew M., Ashayeri, Kimberly, Tyler, Betty, Suk, Ian, Son, Jennifer, Theodore, Nicholas, Thakor, Nitish, Manbachi, Amir

While deep learning has catalyzed breakthroughs across numerous domains, its broader adoption in clinical settings is inhibited by the costly and time-intensive nature of data acquisition and annotation. To further facilitate medical machine learning

Externí odkaz: http://arxiv.org/abs/2409.16441

Computational modeling towards focused ultrasound therapy for spinal cord injury: visualization of beam propagation through patient-specific anatomy.

Autor: Kumar, Avisha, Tsehay, Yohannes, Gonzalez, Eduardo, Kerensky, Max J., Bell, Muyinatu A. Lediju, Theodore, Nicholas, Thakor, Nitish V., Manbachi, Amir

Publikováno v: Proceedings of SPIE; 3/10/2023, Vol. 12466, p1246615-1246615, 1p

Tethered spinal cord tension assessed via ultrasound elastography in computational and intraoperative human studies.

Autor: Kerensky MJ; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; HEPIUS Innovation Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Paul A; Discipline of Biological Engineering, Indian Institute of Technology Gandhinagar, Gujarat, India., Routkevitch D; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; HEPIUS Innovation Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Hersh AM; HEPIUS Innovation Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Kempski Leadingham KM; HEPIUS Innovation Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Davidar AD; HEPIUS Innovation Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Judy BF; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Punnoose J; HEPIUS Innovation Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Williams A; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Kumar A; HEPIUS Innovation Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA., Lehner K; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Smith B; HEPIUS Innovation Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Son JK; HEPIUS Innovation Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Azadi JR; HEPIUS Innovation Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Shekhar H; Discipline of Electrical Engineering, Indian Institute of Technology Gandhinagar, Gujarat, India., Mercado-Shekhar KP; Discipline of Biological Engineering, Indian Institute of Technology Gandhinagar, Gujarat, India., Thakor NV; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; HEPIUS Innovation Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Theodore N; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; HEPIUS Innovation Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Department of Orthopaedic Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Manbachi A; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Amir.Manbachi@jhu.edu.; HEPIUS Innovation Laboratory, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Amir.Manbachi@jhu.edu.; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Amir.Manbachi@jhu.edu.; Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA. Amir.Manbachi@jhu.edu.; Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Amir.Manbachi@jhu.edu.; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA. Amir.Manbachi@jhu.edu.

Publikováno v: Communications medicine [Commun Med (Lond)] 2024 Jan 05; Vol. 4 (1), pp. 4. Date of Electronic Publication: 2024 Jan 05.