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

23 February 2021

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

6 / 6 papers shown

Title
Novel deep learning methods for 3D flow field segmentation and classification Xiaorui Bai Wenyong Wang Jun Zhang Yueqing Wang Yu Xiang 3DPC 14 0 0 10 May 2023
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation Devavrat Tomar Guillaume Vray Behzad Bozorgtabar Jean-Philippe Thiran TTA 25 32 0 17 Mar 2023
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 17 17 0 07 Jan 2023
Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation Zhengxiong Luo Zhicheng Wang Yan Huang T. Tan Erjin Zhou 118 141 0 30 Dec 2020
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 197 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015