44 citations · 81 across the 5 of their papers we have counts for
5 papers
Textile IR: A Bidirectional Intermediate Representation for Physics-Aware Fashion CAD
Petteri Teikari, Neliana Fuenmayor
We introduce Textile IR, a bidirectional intermediate representation that connects manufacturing-valid CAD, physics-based simulation, and lifecycle assessment for fashion design. U…
The Architecture of Trust: A Framework for AI-Augmented Real Estate Valuation in the Era of Structured Data
Petteri Teikari, Mike Jarrell, Maryam Azh +1
The Uniform Appraisal Dataset (UAD) 3.6's mandatory 2026 implementation transforms residential property valuation from narrative reporting to structured, machine-readable formats.…
From Photons to Physics: Autonomous Indoor Drones and the Future of Objective Property Assessment
Petteri Teikari, Mike Jarrell, Irene Bandera Moreno +1
The convergence of autonomous indoor drones with physics-aware sensing technologies promises to transform property assessment from subjective visual inspection to objective, quanti…
Embedded deep learning in ophthalmology: Making ophthalmic imaging smarter
Petteri Teikari, Raymond P. Najjar, Leopold Schmetterer +1
Deep learning has recently gained high interest in ophthalmology, due to its ability to detect clinically significant features for diagnosis and prognosis. Despite these significan…
Deep Learning Convolutional Networks for Multiphoton Microscopy Vasculature Segmentation
Petteri Teikari, Marc Santos, Charissa Poon +1
Recently there has been an increasing trend to use deep learning frameworks for both 2D consumer images and for 3D medical images. However, there has been little effort to use deep…