ResearchTrend.AI
Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps

Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps

Alvaro Gomariz
Tiziano Portenier
C. Nombela-Arrieta
O. Goksel
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps"

4 / 4 papers shown
Title
Novel deep learning methods for 3D flow field segmentation and classification
Novel deep learning methods for 3D flow field segmentation and classification
Xiaorui Bai
Wenyong Wang
Jun Zhang
Yueqing Wang
Yu Xiang
3DPC
48
0
0
10 May 2023
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
Devavrat Tomar
Guillaume Vray
Behzad Bozorgtabar
Jean-Philippe Thiran
TTA
134
34
0
17 Mar 2023
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer
Pushpak Pati
Guillaume Jaume
Zeineb Ayadi
Kevin Thandiackal
Behzad Bozorgtabar
M. Gabrani
O. Goksel
76
19
0
07 Jan 2023
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLMObjD
364
15,699
0
25 Dec 2016