research
∙
07/16/2023
LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network
The process of acquiring microscopic images in life sciences often resul...
share
research
∙
05/23/2023
Training Transitive and Commutative Multimodal Transformers with LoReTTa
Collecting a multimodal dataset with two paired modalities A and B or B ...
research
∙
01/23/2023
Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study
Background: Deep learning (DL) can extract predictive and prognostic bio...
research
∙
12/31/2022
Approaching Peak Ground Truth
Machine learning models are typically evaluated by computing similarity ...
research
∙
12/04/2022
MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain
Segmenting the fine structure of the mouse brain on magnetic resonance (...
research
∙
09/30/2022
DELAD: Deep Landweber-guided deconvolution with Hessian and sparse prior
We present a model for non-blind image deconvolution that incorporates t...
research
∙
06/27/2022
DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy
Light-sheet fluorescence microscopy (LSFM) is a cutting-edge volumetric ...
research
∙
05/13/2022
Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction
Classical multiple instance learning (MIL) methods are often based on th...
research
∙
03/14/2022
S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning
In computational pathology, we often face a scarcity of annotations and ...
research
∙
11/23/2021
Multi-Modality Microscopy Image Style Transfer for Nuclei Segmentation
Annotating microscopy images for nuclei segmentation is laborious and ti...
research
∙
07/26/2021
Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations
In digital pathology, different staining procedures and scanners cause s...
research
∙
07/22/2020
Attention based Multiple Instance Learning for Classification of Blood Cell Disorders
Red blood cells are highly deformable and present in various shapes. In ...
research
∙
06/04/2017
Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks
Intracranial carotid artery calcification (ICAC) is a major risk factor ...
research
∙
08/26/2016