Jeroen van der Laak | DeepAI

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Featured Co-authors

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∙ 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. ∙

∙ 07/13/2022

Domain adaptation strategies for cancer-independent detection of lymph node metastases

Recently, large, high-quality public datasets have led to the developmen...

0 Péter Bándi, et al. ∙

∙ 09/16/2021

Automated risk classification of colon biopsies based on semantic segmentation of histopathology images

Artificial Intelligence (AI) can potentially support histopathologists i...

4 John-Melle Bokhorsta, et al. ∙

∙ 06/24/2021

High-resolution Image Registration of Consecutive and Re-stained Sections in Histopathology

We compare variational image registration in consectutive and re-stained...

0 Johannes Lotz, et al. ∙

∙ 12/09/2020

Automated Scoring of Nuclear Pleomorphism Spectrum with Pathologist-level Performance in Breast Cancer

Nuclear pleomorphism is the degree of change in nuclear morphology, one ...

0 Caner Mercan, et al. ∙

∙ 06/22/2020

HookNet: multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images

We propose HookNet, a semantic segmentation model for histopathology who...

0 Mart van Rijthoven, et al. ∙

∙ 06/05/2020

Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels

Prostate cancer is the most prevalent cancer among men in Western countr...

0 Hans Pinckaers, et al. ∙

∙ 04/15/2020

Extending Unsupervised Neural Image Compression With Supervised Multitask Learning

We focus on the problem of training convolutional neural networks on gig...

0 David Tellez, et al. ∙

∙ 02/11/2020

Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists

While the Gleason score is the most important prognostic marker for pros...

0 Wouter Bulten, et al. ∙

∙ 07/18/2019

Automated Gleason Grading of Prostate Biopsies using Deep Learning

The Gleason score is the most important prognostic marker for prostate c...

2 Wouter Bulten, et al. ∙

∙ 02/18/2019

Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology

Stain variation is a phenomenon observed when distinct pathology laborat...

0 David Tellez, et al. ∙

∙ 11/07/2018

Neural Image Compression for Gigapixel Histopathology Image Analysis

We present Neural Image Compression (NIC), a method to reduce the size o...

12 David Tellez, et al. ∙

∙ 08/17/2018

Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks

Manual counting of mitotic tumor cells in tissue sections constitutes on...

0 David Tellez, et al. ∙

∙ 08/17/2018

Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard

Prostate cancer (PCa) is graded by pathologists by examining the archite...

0 Wouter Bulten, et al. ∙

∙ 05/10/2017

Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images

Automated classification of histopathological whole-slide images (WSI) o...

0 Babak Ehteshami Bejnordi, et al. ∙

∙ 03/17/2017

Comparison of Different Methods for Tissue Segmentation in Histopathological Whole-Slide Images

Tissue segmentation is an important pre-requisite for efficient and accu...

0 Péter Bándi, et al. ∙

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