Search Results for author: Guido Gerig

Found 14 papers, 9 papers with code

Relightful Harmonization: Lighting-aware Portrait Background Replacement

no code implementations11 Dec 2023 Mengwei Ren, Wei Xiong, Jae Shin Yoon, Zhixin Shu, Jianming Zhang, HyunJoon Jung, Guido Gerig, He Zhang

Portrait harmonization aims to composite a subject into a new background, adjusting its lighting and color to ensure harmony with the background scene.

Self-supervised OCT Image Denoising with Slice-to-Slice Registration and Reconstruction

1 code implementation26 Nov 2023 Shijie Li, Palaiologos Alexopoulos, Anse Vellappally, Ronald Zambrano, Wollstein Gadi, Guido Gerig

Strong speckle noise is inherent to optical coherence tomography (OCT) imaging and represents a significant obstacle for accurate quantitative analysis of retinal structures which is key for advances in clinical diagnosis and monitoring of disease.

Image Denoising Self-Supervised Learning

Microscopy Image Segmentation via Point and Shape Regularized Data Synthesis

1 code implementation18 Aug 2023 Shijie Li, Mengwei Ren, Thomas Ach, Guido Gerig

Current deep learning-based approaches for the segmentation of microscopy images heavily rely on large amount of training data with dense annotation, which is highly costly and laborious in practice.

Image Segmentation Segmentation +1

$E(3) \times SO(3)$-Equivariant Networks for Spherical Deconvolution in Diffusion MRI

1 code implementation12 Apr 2023 Axel Elaldi, Guido Gerig, Neel Dey

We present Roto-Translation Equivariant Spherical Deconvolution (RT-ESD), an $E(3)\times SO(3)$ equivariant framework for sparse deconvolution of volumes where each voxel contains a spherical signal.

Multiscale Structure Guided Diffusion for Image Deblurring

no code implementations ICCV 2023 Mengwei Ren, Mauricio Delbracio, Hossein Talebi, Guido Gerig, Peyman Milanfar

We evaluate a single-dataset trained model on diverse datasets and demonstrate more robust deblurring results with fewer artifacts on unseen data.

Deblurring Denoising +2

Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis

1 code implementation9 Jun 2022 Mengwei Ren, Neel Dey, Martin A. Styner, Kelly Botteron, Guido Gerig

Recent self-supervised advances in medical computer vision exploit global and local anatomical self-similarity for pretraining prior to downstream tasks such as segmentation.

One-Shot Segmentation Representation Learning +1

Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI

1 code implementation24 Jun 2021 Mengwei Ren, Heejong Kim, Neel Dey, Guido Gerig

Further, such approaches can restrict downstream usage of variably sampled DWIs for usages including the estimation of microstructural indices or tractography.

Translation

Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data

1 code implementation17 Feb 2021 Axel Elaldi, Neel Dey, Heejong Kim, Guido Gerig

We then show improved downstream performance on fiber tractography measures on the Tractometer benchmark dataset.

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