17 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Harvard UniversityUS6 papers
- Columbia UniversityUS3 papers
- Massachusetts General HospitalUS3 papers
- Massachusetts Institute of TechnologyUS3 papers
- University College LondonGB3 papers
- Gatsby Computational Neuroscience UnitGB2 papers
- Johns Hopkins UniversityUS2 papers
- Princeton UniversityUS2 papers
- Baylor College of MedicineUS1 paper
- Boston UniversityUS1 paper
- Center for Systems BiologyUS1 paper
- Centre de Recerca MatemàticaES1 paper
11 papers
Federated Learning for Diabetic Retinopathy Diagnosis: Enhancing Accuracy and Generalizability in Under-Resourced Regions
Gajan Mohan Raj, Michael G. Morley, Mohammad Eslami
Diabetic retinopathy is the leading cause of vision loss in working-age adults worldwide, yet under-resourced regions lack ophthalmologists. Current state-of-the-art deep learning…
A Spatiotemporal Illumination Model for 3D Image Fusion in Optical Coherence Tomography
Stefan Ploner, Jungeun Won, Julia Schottenhamml +5
Optical coherence tomography (OCT) is a non-invasive, micrometer-scale imaging modality that has become a clinical standard in ophthalmology. By raster-scanning the retina, sequent…
An Implantable Piezofilm Middle Ear Microphone: Performance in Human Cadaveric Temporal Bones
John Z. Zhang, Lukas Graf, Annesya Banerjee +6
Purpose: One of the major reasons that totally implantable cochlear microphones are not readily available is the lack of good implantable microphones. An implantable microphone has…
The UmboMic: A PVDF Cantilever Microphone
Aaron J. Yeiser, Emma F. Wawrzynek, John Z. Zhang +6
Objective: We present the "UmboMic," a prototype piezoelectric cantilever microphone designed for future use with totally-implantable cochlear implants. Methods: The UmboMic sensor…
Identifying factors associated with fast visual field progression in patients with ocular hypertension based on unsupervised machine learning
Xiaoqin Huang, Asma Poursoroush, Jian Sun +3
Purpose: To identify ocular hypertension (OHT) subtypes with different trends of visual field (VF) progression based on unsupervised machine learning and to discover factors associ…
Theoretical study of laser intensity noise effect on CW-STED microscopy
Alejandro Mendoza-Coto, Danay Manzo Jaime, Ariel Francis Pérez Mellor +1
Spatial resolution of stimulated emission depletion (STED) microscopy varies with sample labeling techniques and microscope components, e.g., lasers, lenses, and photo-detectors. F…
Neuromatch Academy: Teaching Computational Neuroscience with global accessibility
Tara van Viegen, Athena Akrami, Kate Bonnen +32
Neuromatch Academy designed and ran a fully online 3-week Computational Neuroscience summer school for 1757 students with 191 teaching assistants working in virtual inverted (or fl…
A Sparse Non-negative Matrix Factorization Framework for Identifying Functional Units of Tongue Behavior from MRI
Jonghye Woo, Jerry L. Prince, Maureen Stone +8
Muscle coordination patterns of lingual behaviors are synergies generated by deforming local muscle groups in a variety of ways. Functional units are functional muscle groups of lo…
Spatially-resolved Brillouin spectroscopy reveals biomechanical changes in early ectatic corneal disease and post-crosslinking in vivo
Peng Shao, Amira M. Eltony, Theo G. Seiler +5
Mounting evidence connects the biomechanical properties of tissues to the development of eye diseases such as keratoconus, a common disease in which the cornea thins and bulges int…
High-dimensional cluster analysis with the Masked EM Algorithm
Shabnam N. Kadir, Dan F. M. Goodman, Kenneth D. Harris
Cluster analysis faces two problems in high dimensions: first, the `curse of dimensionality' that can lead to overfitting and poor generalization performance; and second, the sheer…
The equivalence of information-theoretic and likelihood-based methods for neural dimensionality reduction
Ross S. Williamson, Maneesh Sahani, Jonathan W. Pillow
Stimulus dimensionality-reduction methods in neuroscience seek to identify a low-dimensional space of stimulus features that affect a neuron's probability of spiking. One popular m…