Waddelma
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a VALIANT Effort | February 2025
February 2025 Friends, Last week I attended the SPIE Medical Imaging Conference where the talk of the crowd was on science and careers.* Our work doesn’t stop at groundbreaking research—we strive to ensure that our students and faculty are equipped with the tools to translate… Read MoreFeb. 27, 2025
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Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification
Machine learning models are increasingly being used to analyze point cloud data, which consists of unordered sets of points, such as 3D scans of objects. To effectively process this type of data, neural networks must be designed to ensure that their predictions remain the same regardless of the order… Read MoreFeb. 24, 2025
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Large Language Model GPT-4 Compared to Endocrinologist Responses on Initial Choice of Glucose-Lowering Medication Under Conditions of Clinical Uncertainty
Flory, James H.; Ancker, Jessica S.; Kim, Scott Y. H.; Kuperman, Gilad; Petrov, Aleksandr; Vickers, Andrew. “Large Language Model GPT-4 Compared to Endocrinologist Responses on Initial Choice of Glucose-Lowering Medication Under Conditions of Clinical Uncertainty.” Diabetes Care, vol. 48, no. 2, 2025, pp. 185-192,… Read MoreFeb. 24, 2025
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Reliable Transcranial Functional Ultrasound in an Adult Cohort (N=13)
Vienneau, Emelina; Weeks, Abbie; Morgan, Victoria; Byram, Brett. “Reliable Transcranial Functional Ultrasound in an Adult Cohort (N=13).” IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, UFFC-JS 2024 – Proceedings, 2024, https://doi.org/10.1109/UFFC-JS60046.2024.10793710. Functional ultrasound was first tested in rodents, but more recently, it… Read MoreFeb. 24, 2025
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GCNR Regularization Improves Deep Neural Network Beamformers
Pan, Ying-Chun; Khan, Christopher; Lefevre, Ryan; Eagle, Susan; Byram, Brett. “GCNR Regularization Improves Deep Neural Network Beamformers.” IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, UFFC-JS 2024 – Proceedings, 2024, https://doi.org/10.1109/UFFC-JS60046.2024.10793808. Deep neural network (DNN) beamformers are becoming increasingly… Read MoreFeb. 24, 2025
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Deep learning-based free-water correction for single-shell diffusion MRI
Yao, Tianyuan; Archer, Derek B.; Kanakaraj, Praitayini; Newlin, Nancy; Bao, Shunxing; Moyer, Daniel; Schilling, Kurt; Landman, Bennett A.; Huo, Yuankai. “Deep learning-based free-water correction for single-shell diffusion MRI.” Magnetic Resonance Imaging, vol. 117, 2025, 110326, https://doi.org/10.1016/j.mri.2025.110326. Free-water elimination (FWE)… Read MoreFeb. 24, 2025
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Association of Plasma Biomarkers of Alzheimer Disease and Neurodegeneration With Longitudinal Intra-Network Functional Brain Connectivity
Dark, Heather E.; Shafer, Andrea T.; Cordon, Jenifer; An, Yang; Lewis, Alexandria; Moghekar, Abhay; Landman, Bennett; Resnick, Susan M.; Walker, Keenan A. “Association of Plasma Biomarkers of Alzheimer Disease and Neurodegeneration With Longitudinal Intra-Network Functional Brain Connectivity.” Neurology, vol. 104, no. 4, 2025, e210271,… Read MoreFeb. 24, 2025
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Evaluating the Safety and Usability of an Over-the-Counter Medical Device for Adults With Mild to Moderate Hearing Loss: Formative and Summative Usability Testing
Salwei, Megan Elizabeth; Anders, Shilo; Reale, Carrie; Slagle, Jason M.; Ricketts, Todd; Weinger, Matthew B. “Evaluating the Safety and Usability of an Over-the-Counter Medical Device for Adults With Mild to Moderate Hearing Loss: Formative and Summative Usability Testing.” JMIR Human Factors, vol. 12, 2025,… Read MoreFeb. 24, 2025
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Cleaning Robots: A Review of Sensor Technologies and Intelligent Control Strategies for Cleaning
Megalingam, Rajesh Kannan; Vadivel, Shree Rajesh Raagul; Kotaprolu, Sai Smaran; Nithul, Bagathi; Kumar, Devisetty Vijay; Rudravaram, Gaurav. “Cleaning Robots: A Review of Sensor Technologies and Intelligent Control Strategies for Cleaning.” Journal of Field Robotics, 2025, https://doi.org/10.1002/rob.22515. Cleaning robots have… Read MoreFeb. 24, 2025
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A Generalized SNR to Quantify Lesion Detectability for Modern Adaptive beamformers
Schlunk, Siegfried; Byram, Brett. “A Generalized SNR to Quantify Lesion Detectability for Modern Adaptive beamformers.” IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, UFFC-JS 2024 – Proceedings, 2024, https://doi.org/10.1109/UFFC-JS60046.2024.10793748. Ultrasound images are often processed using a method called delay-and-sum… Read MoreFeb. 24, 2025