Jonas Teuwen

most citedSubpixel object segmentation using wavelets and multi resolution analysis

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2021★ 1 cited

Subpixel object segmentation using wavelets and multi resolution analysis

Ray Sheombarsing, Nikita Moriakov, Jan-Jakob Sonke +1

We propose a novel deep learning framework for fast prediction of boundaries of two-dimensional simply connected domains using wavelets and Multi Resolution Analysis (MRA). The bou…

eess.IV2021

WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need

Yoni Schirris, Mendel Engelaer, Andreas Panteli +3

We present WeakSTIL, an interpretable two-stage weak label deep learning pipeline for scoring the percentage of stromal tumor infiltrating lymphocytes (sTIL%) in H&E-stained whole-…

math.FA2016

$L^{p}$ - $L^{q}$ off-diagonal estimates for the Ornstein--Uhlenbeck semigroup: some positive and negative results

Alex Amenta, Jonas Teuwen

We investigate $L^{p} (γ)$ - $L^{q} (γ)$ off-diagonal estimates for the Ornstein-Uhlenbeck semigroup $(e^{t L})_{t > 0}$ . For sufficiently large $t$ (quantified in terms of $p$ and $q$ ) the…

Subpixel object segmentation using wavelets and multi resolution analysis

WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need

Lp-Lq off-diagonal estimates for the Ornstein--Uhlenbeck semigroup: some positive and negative results

$L^{p}$ - $L^{q}$ off-diagonal estimates for the Ornstein--Uhlenbeck semigroup: some positive and negative results