activity
20112021
most citedTutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function

47 citations · 62 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CY2021★ 3 cited

Risk Management of AI/ML Software as a Medical Device (SaMD): On ISO 14971 and Related Standards and Guidances

Stephen G. Odaibo

Safety and efficacy are the paramount objectives of medical device regulation. And in line with the medical ethos of non-maleficence, first do no harm, safety is the primary goal o…

cs.LG2019★ 47 cited

Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function

Stephen Odaibo

In Bayesian machine learning, the posterior distribution is typically computationally intractable, hence variational inference is often required. In this approach, an evidence lowe…

eess.IV2019★ 4 cited

retina-VAE: Variationally Decoding the Spectrum of Macular Disease

Stephen G. Odaibo

In this paper, we seek a clinically-relevant latent code for representing the spectrum of macular disease. Towards this end, we construct retina-VAE, a variational autoencoder-base…

cs.LG2019

Is 'Unsupervised Learning' a Misconceived Term?

Stephen G. Odaibo

Is all of machine learning supervised to some degree? The field of machine learning has traditionally been categorized pedagogically into ; whe…

cs.CV2019★ 5 cited

Generative Adversarial Networks Synthesize Realistic OCT Images of the Retina

Stephen G. Odaibo, M. D., M. S.

We report, to our knowledge, the first end-to-end application of Generative Adversarial Networks (GANs) towards the synthesis of Optical Coherence Tomography (OCT) images of the re…

physics.med-ph2019★ 3 cited

Mobile Artificial Intelligence Technology for Detecting Macula Edema and Subretinal Fluid on OCT Scans: Initial Results from the DATUM alpha Study

Stephen G. Odaibo, Mikelson MomPremier, Richard Y. Hwang +3

Artificial Intelligence (AI) is necessary to address the large and growing deficit in retina and healthcare access globally. And mobile AI diagnostic platforms running in the Cloud…

q-bio.NC2015

A Sinc Wavelet Describes the Receptive Fields of Neurons in the Motion Cortex

Stephen G. Odaibo

Visual perception results from a systematic transformation of the information flowing through the visual system. In the neuronal hierarchy, the response properties of single neuron…

math.GR2014

Kernel Atomicity

Stephen G. Odaibo

Here, we show that the first isomorphism theorem, the orbit-stabilizer theorem, and the non-uniqueness of solutions of underdetermined linear systems are all manifestations of the…

q-bio.NC2014

The Gabor-Einstein Wavelet: A Model for the Receptive Fields of V1 to MT Neurons

Stephen G. Odaibo

Our visual system is astonishingly efficient at detecting moving objects. This process is mediated by the neurons which connect the primary visual cortex (V1) to the middle tempora…

physics.med-ph2012

A Quantum Mechanical Review of Magnetic Resonance Imaging

Stephen G. Odaibo

In this paper, we review the quantum mechanics of magnetic resonance imaging (MRI). We traverse its hierarchy of scales from the spin and orbital angular momentum of subatomic part…

physics.optics2011

Photon Trajectory in the Human Cornea

Stephen G. Odaibo

In this article, we follow the trajectory of a photon in the human cornea. Prior to experimental evidence of the cornea's gradient refractive index (GRIN) nature, schematic eye mod…