551 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Georgia Institute of TechnologyUS20 papers
- Emory UniversityUS12 papers
- Auburn UniversityUS3 papers
- Children's Healthcare of AtlantaUS2 papers
- Chinese Academy of SciencesCN2 papers
- Duke UniversityUS2 papers
- National Center for Nanoscience and TechnologyCN2 papers
- Peking UniversityCN2 papers
- Southwestern Medical CenterUS2 papers
- Stanford UniversityUS2 papers
- The University of Texas Southwestern Medical CenterUS2 papers
- Atlanta VA Health Care SystemUS1 paper
23 papers
A Computational Journey Toward an Optimal Design for Metamaterial Epicardial Passive Sleeves
Vahid Naeini, Emilio A. Mendiola, Ahmad Rafsanjani +6
Heart failure (HF) following myocardial infarction (MI) is a major clinical challenge with severe complications. Epicardial sleeves and patches are increasingly investigated to imp…
Approximation of forces and torques from anisotropic pairwise interactions using multivariate polynomials
Mohammadreza Fakhraei, Michaela Bush, Chris A. Kieslich +1
The dynamics of anisotropic particles are dictated by forces and torques that can be challenging to mathematically represent in computer simulations. Several data-driven approaches…
Deep-ultraviolet ptychographic pocket-scope (DART): mesoscale lensless molecular imaging with label-free spectroscopic contrast
Ruihai Wang, Qianhao Zhao, Julia Quinn +11
The mesoscale characterization of biological specimens has traditionally required compromises between resolution, field-of-view, depth-of-field, and molecular specificity, with mos…
Causal Machine Learning for Surgical Interventions
J. Ben Tamo, Nishant S. Chouhan, Micky C. Nnamdi +6
Surgical decision-making is complex and requires understanding causal relationships between patient characteristics, interventions, and outcomes. In high-stakes settings like spina…
Inverse design of drying-induced assembly of multicomponent colloidal-particle films using surrogate models
Mayukh Kundu, Michaela Bush, Chris A. Kieslich +1
The properties of films assembled by drying colloidal-particle suspensions depend sensitively on both the particles and the processing conditions, making them challenging to engine…
Recent advances in DNA origami-engineered nanomaterials and applications
Pengfei Zhan, Andreas Peil, Qiao Jiang +9
DNA nanotechnology is a unique field, where physics, chemistry, biology, mathematics, engineering, and materials science can elegantly converge. Since the original proposal of Nadr…
Advancing Problem-Based Learning in Biomedical Engineering in the Era of Generative AI
Micky C. Nnamdi, J. Ben Tamo, Benoit Marteau +2
Problem-Based Learning (PBL) has significantly impacted biomedical engineering (BME) education since its introduction in the early 2000s, effectively enhancing critical thinking an…
Approximation of anisotropic pair potentials using multivariate interpolation
Mohammadreza Fakhraei, Chris A. Kieslich, Michael P. Howard
The interaction between two particles with shape or interaction anisotropy can be modeled using a pairwise potential energy function that depends on their relative position and ori…
UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM
Xuhui Guo, Tanmoy Dam, Rohan Dhamdhere +2
3D medical image segmentation has progressed considerably due to Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs), yet these methods struggle to balance long-ran…
Beneath the Surface: Revealing Deep-Tissue Blood Flow in Human Subjects with Massively Parallelized Diffuse Correlation Spectroscopy
Lucas Kreiss, Melissa Wu, Michael Wayne +17
Diffuse Correlation Spectroscopy (DCS) allows the label-free investigation of microvascular dynamics deep within living tissue. However, common implementations of DCS are currently…
Nanorobotics in Medicine: A Systematic Review of Advances, Challenges, and Future Prospects
Shishir Rajendran, Prathic Sundararajan, Ashi Awasthi +1
Nanorobotics offers an emerging frontier in biomedicine, holding the potential to revolutionize diagnostic and therapeutic applications through its unique capabilities in manipulat…
Sparse learned kernels for interpretable and efficient medical time series processing
Sully F. Chen, Zhicheng Guo, Cheng Ding +2
Rapid, reliable, and accurate interpretation of medical time-series signals is crucial for high-stakes clinical decision-making. Deep learning methods offered unprecedented perform…
Ultrafast reversible self-assembly of living tangled matter
Vishal P. Patil, Harry Tuazon, Emily Kaufman +4
Tangled active filaments are ubiquitous in nature, from chromosomal DNA and cilia carpets to root networks and worm blobs. How activity and elasticity facilitate collective topolog…
Landmark Tracking in Liver US images Using Cascade Convolutional Neural Networks with Long Short-Term Memory
Yupei Zhang, Xianjin Dai, Zhen Tian +6
This study proposed a deep learning-based tracking method for ultrasound (US) image-guided radiation therapy. The proposed cascade deep learning model is composed of an attention n…
A systematic analysis of biotech startups that went public in the first half of 2021
Sebastian G. Huayamares, Melissa P. Lokugamage, Alejandro J. Da Silva Sanchez +1
Biotechnologies are being commercialized at historic rates. In 2020, 74 biotech startups went public through an Initial Public Offering (IPO), and 60 went through the IPO process i…
Representation learning for neural population activity with Neural Data Transformers
Joel Ye, Chethan Pandarinath
Neural population activity is theorized to reflect an underlying dynamical structure. This structure can be accurately captured using state space models with explicit dynamics, suc…
Flow-induced segregation and dynamics of red blood cells in sickle cell disease
Xiao Zhang, Christina Caruso, Wilbur A. Lam +1
Blood flow in sickle cell disease (SCD) can substantially differ from normal blood flow due to significant alterations in the physical properties of the red blood cells (RBCs). Chr…
AxoNet: an AI-based tool to count retinal ganglion cell axons
Matthew D. Ritch, Bailey G. Hannon, A. Thomas Read +7
Goal: In this work, we develop a robust, extensible tool to automatically and accurately count retinal ganglion cell axons in images of optic nerve tissue from various animal model…
Cherenkov Radiation Induced by Megavolt X-Ray Beams in the Second Near-Infrared Window
Xiangxi Meng, Yi Du, Ziyuan Li +7
Although the Cherenkov light contains mostly short-wavelength components, it is beneficial in the aspect of imaging to visualize it in the second near-infrared (NIR-II) window. In…
Plasmonic Toroidal Metamolecules Assembled by DNA Origami
Maximilian J. Urban, Palash K. Dutta, Pengfei Wang +5
We demonstrate hierarchical assembly of plasmonic toroidal metamolecules, which exhibit tailored optical activity in the visible spectral range. Each metamolecule consists of four…
Intermetallic Nanocrystals: Syntheses and Catalytic Applications
Yucong Yan, Jingshan S. Du, Kyle D. Gilroy +3
At the forefront of nanochemistry, there exists a research endeavor centered around intermetallic nanocrystals, which are unique in terms of long-range atomic ordering, well-define…
Metal-Enhanced Near-Infrared Fluorescence by Micropatterned Gold Nanocages
Andrea Camposeo, Luana Persano, Rita Manco +6
In metal-enhanced fluorescence (MEF), the localized surface plasmon resonances of metallic nanostructures amplify the absorption of excitation light and assist in radiating the con…
Analytical description of high-aperture STED resolution with 0-2 vortex phase modulation
Hao Xie, Yujia Liu, Dayong Jin +1
Stimulated emission depletion (STED) can achieve optical super-resolution, with the optical diffraction limit broken by the suppression on the periphery of the fluorescent focal sp…