activity
20172021
most citedUnsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training

228 citations · 509 across the 18 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

physics.optics2018

Large dynamic range autorefraction with a low-cost diffuser wavefront sensor

Gregory N. McKay, Faisal Mahmood, Nicholas J. Durr

Wavefront sensing with a thin diffuser has emerged as a potential low-cost alternative to a lenslet array for aberrometry. Diffuser wavefront sensors (DWS) have previously relied o…

cs.CV2018★ 4 cited

Multimodal Densenet

Faisal Mahmood, Ziyun Yang, Thomas Ashley +1

Humans make accurate decisions by interpreting complex data from multiple sources. Medical diagnostics, in particular, often hinge on human interpretation of multi-modal informatio…

cs.CV2018★ 2 cited

Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images

Faisal Mahmood, Daniel Borders, Richard Chen +4

Nuclei segmentation is a fundamental task that is critical for various computational pathology applications including nuclei morphology analysis, cell type classification, and canc…

cs.CV2018★ 29 cited

DeepLSR: a deep learning approach for laser speckle reduction

Taylor L. Bobrow, Faisal Mahmood, Miguel Inserni +1

Speckle artifacts degrade image quality in virtually all modalities that utilize coherent energy, including optical coherence tomography, reflectance confocal microscopy, ultrasoun…

math.DG2018

A note on invariant constant curvature immersions in Minkowski space

François Fillastre, Graham Smith

Let be a compact, orientable surface of hyperbolic type. Let be a pair of negative numbers and let be a pair of marked metrics over of constant cur…

cs.CV2018★ 41 cited

Deep Learning with Cinematic Rendering: Fine-Tuning Deep Neural Networks Using Photorealistic Medical Images

Faisal Mahmood, Richard Chen, Sandra Sudarsky +2

Deep learning has emerged as a powerful artificial intelligence tool to interpret medical images for a growing variety of applications. However, the paucity of medical imaging data…