Josien P. W. Pluim

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Featured Co-authors

Hao Chen
339 publications
Pheng-Ann Heng
141 publications
Yan Xu
95 publications
Jürgen Schmidhuber
84 publications
Josef Kittler
77 publications
Xiaojuan Qi
71 publications
Shadi Albarqouni
51 publications
Nasir Rajpoot
51 publications
Marleen de Bruijne
40 publications
Veronika Cheplygina
32 publications
Ivan Ezhov
32 publications

research

∙ 04/26/2023

Effect of latent space distribution on the segmentation of images with multiple annotations

We propose the Generalized Probabilistic U-Net, which extends the Probab...

0 Ishaan Bhat, et al. ∙

research

∙ 01/16/2023

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset

We introduce LYSTO, the Lymphocyte Assessment Hackathon, which was held ...

3 Yiping Jiao, et al. ∙

research

∙ 07/26/2022

Generalized Probabilistic U-Net for medical image segementation

We propose the Generalized Probabilistic U-Net, which extends the Probab...

0 Ishaan Bhat, et al. ∙

research

∙ 06/22/2022

Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection

Deep learning techniques show success in detecting objects in medical im...

0 Ishaan Bhat, et al. ∙

research

∙ 07/27/2021

ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification

We present ENHANCE, an open dataset with multiple annotations to complem...

0 Ralf Raumanns, et al. ∙

research

∙ 02/15/2021

Corneal Pachymetry by AS-OCT after Descemet's Membrane Endothelial Keratoplasty

Corneal thickness (pachymetry) maps can be used to monitor restoration o...

0 Friso G. Heslinga, et al. ∙

research

∙ 01/12/2021

Using uncertainty estimation to reduce false positives in liver lesion detection

Despite the successes of deep learning techniques at detecting objects i...

0 Ishaan Bhat, et al. ∙

research

∙ 10/07/2020

Deep Learning-Based Grading of Ductal Carcinoma In Situ in Breast Histopathology Images

Ductal carcinoma in situ (DCIS) is a non-invasive breast cancer that can...

0 Suzanne C Wetstein, et al. ∙

research

∙ 08/26/2020

Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology

Unsupervised learning enables modeling complex images without the need f...

0 Maxime W. Lafarge, et al. ∙

research

∙ 06/30/2020

Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer Learning

Early detection of lung cancer has been proven to decrease mortality sig...

4 Linde S. Hesse, et al. ∙

research

∙ 04/24/2020

Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks

Purpose: We developed a method to automatically locate and quantify graf...

0 Friso G. Heslinga, et al. ∙

research

∙ 03/16/2020

clDice – a Topology-Preserving Loss Function for Tubular Structure Segmentation

Accurate segmentation of tubular, network-like structures, such as vesse...

18 Suprosanna, et al. ∙

research

∙ 02/20/2020

Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis

Rotation-invariance is a desired property of machine-learning models for...

61 Maxime W. Lafarge, et al. ∙

research

∙ 11/22/2019

Direct Classification of Type 2 Diabetes From Retinal Fundus Images in a Population-based Sample From The Maastricht Study

Type 2 Diabetes (T2D) is a chronic metabolic disorder that can lead to b...

0 Friso G. Heslinga, et al. ∙

research

∙ 10/15/2019

Liver segmentation and metastases detection in MR images using convolutional neural networks

Primary tumors have a high likelihood of developing metastases in the li...

26 Mariëlle J. A. Jansen, et al. ∙

research

∙ 08/22/2019

Motion correction of dynamic contrast enhanced MRI of the liver

Motion correction of dynamic contrast enhanced magnetic resonance images...

0 Mariëlle J. A. Jansen, et al. ∙

research

∙ 08/22/2019

Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation

Most MRI liver segmentation methods use a structural 3D scan as input, s...

17 Mariëlle J. A. Jansen, et al. ∙

research

∙ 07/22/2018

Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge

Tumor proliferation is an important biomarker indicative of the prognosi...

0 Mitko Veta, et al. ∙

research

∙ 06/21/2018

Crowd disagreement of medical images is informative

Classifiers for medical image analysis are often trained with a single c...

0 Veronika Cheplygina, et al. ∙

research

∙ 04/17/2018

Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

Machine learning (ML) algorithms have made a tremendous impact in the fi...

1 Veronika Cheplygina, et al. ∙

research

∙ 01/10/2018

Inferring a Third Spatial Dimension from 2D Histological Images

Histological images are obtained by transmitting light through a tissue ...

0 Maxime W. Lafarge, et al. ∙

research

∙ 08/09/2017

Isointense infant brain MRI segmentation with a dilated convolutional neural network

Quantitative analysis of brain MRI at the age of 6 months is difficult b...

0 Pim Moeskops, et al. ∙

research

∙ 07/19/2017

Domain-adversarial neural networks to address the appearance variability of histopathology images

Preparing and scanning histopathology slides consists of several steps, ...

0 Maxime W. Lafarge, et al. ∙

research

∙ 07/11/2017

Adversarial training and dilated convolutions for brain MRI segmentation

Convolutional neural networks (CNNs) have been applied to various automa...

0 Pim Moeskops, et al. ∙

research

∙ 06/20/2016

Cutting out the middleman: measuring nuclear area in histopathology slides without segmentation

The size of nuclei in histological preparations from excised breast tumo...

0 Mitko Veta, et al. ∙

research

∙ 03/01/2016

Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest

Colorectal adenocarcinoma originating in intestinal glandular structures...

0 Korsuk Sirinukunwattana, et al. ∙

research

∙ 11/21/2014

Assessment of algorithms for mitosis detection in breast cancer histopathology images

The proliferative activity of breast tumors, which is routinely estimate...

0 Mitko Veta, et al. ∙

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