Emiel A. M. Janssen

According to our database, Emiel A. M. Janssen authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs.

Neel Kanwal, Farbod Khoraminia, Umay Kiraz, Andrés Mosquera-Zamudio, Carlos Monteagudo, Emiel A. M. Janssen, Tahlita C. M. Zuiverloon, Chunming Rong, Kjersti Engan

CoRR, 2024

A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics.

Marie Bø-Sande, Edvin Benjaminsen, Neel Kanwal, Saul Fuster, Helga Hardardottir, Ingrid Lundal, Emilius A. M. Janssen, Kjersti Engan

Proceedings of the Northern Lights Deep Learning Conference, 2024

2023

Balancing Privacy and Progress in Artificial Intelligence: Anonymization in Histopathology for Biomedical Research and Education.

Neel Kanwal, Emiel A. M. Janssen, Kjersti Engan

CoRR, 2023

Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis.

Xiaoyi Ji, Richard Salmon, Nita Mulliqi, Umair Khan, Yinxi Wang, Anders Blilie, Henrik Olsson, Bodil Ginnerup Pedersen, Karina Dalsgaard Sørensen, Benedicte Parm Ulhøi, Svein Reidar Kjosavik, Emilius A. M. Janssen, Mattias Rantalainen, Lars Egevad, Pekka Ruusuvuori, Martin Eklund, Kimmo Kartasalo

CoRR, 2023

Deep Learning for Predicting Metastasis on Melanoma Wsis.

Christopher Andreassen, Saul Fuster, Helga Hardardottir, Emiel A. M. Janssen, Kjersti Engan

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images.

Neel Kanwal, Roger Amundsen, Helga Hardardottir, Luca Tomasetti, Erling Sandøy Undersrud, Emiel A. M. Janssen, Kjersti Engan

Proceedings of the 31st European Signal Processing Conference, 2023

2022

A spatial attention guided deep learning system for prediction of pathological complete response using breast cancer histopathology images.

Hongyi Duanmu, Shristi Bhattarai, Hongxiao Li, Zhan Shi, Fusheng Wang, George Teodoro, Keerthi Gogineni, Preeti Subhedar, Umay Kiraz, Emiel A. M. Janssen, Ritu Aneja, Jun Kong

Bioinform., 2022

Invasive Cancerous Area Detection in Non-Muscle Invasive Bladder Cancer Whole Slide Images.

Saul Fuster, Farbod Khoraminia, Umay Kiraz, Neel Kanwal, Vebjørn Kvikstad, Trygve Eftestøl, Tahlita C. M. Zuiverloon, Emiel A. M. Janssen, Kjersti Engan

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Challenging Mitosis Detection Algorithms: Global Labels Allow Centroid Localization.

Claudio Fernandez-Martín, Umay Kiraz, Julio Silva-Rodríguez, Sandra Morales, Emiel A. M. Janssen, Valery Naranjo

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

2021

miRNA normalization enables joint analysis of several datasets to increase sensitivity and to reveal novel miRNAs differentially expressed in breast cancer.

Shay Ben-Elazar, Miriam Ragle Aure, Kristin Jonsdottir, Suvi-Katri Leivonen, Vessela N. Kristensen, Emiel A. M. Janssen, Kristine Kleivi Sahlberg, Ole Christian Lingjærde, Zohar Yakhini

PLoS Comput. Biol., 2021

Automatic Diagnostic Tool for Predicting Cancer Grade in Bladder Cancer Patients Using Deep Learning.

Rune Wetteland, Vebjørn Kvikstad, Trygve Eftestøl, Erlend Tøssebro, Melinda Lillesand, Emiel A. M. Janssen, Kjersti Engan

IEEE Access, 2021

Spatial Attention-Based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains.

Hongyi Duanmu, Shristi Bhattarai, Hongxiao Li, Chia Cheng Cheng, Fusheng Wang, George Teodoro, Emiel A. M. Janssen, Keerthi Gogineni, Preeti Subhedar, Ritu Aneja, Jun Kong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Semi-supervised Tissue Segmentation of Histological Images.

Ove Nicolai Dalheim, Rune Wetteland, Vebjørn Kvikstad, Emiel A. M. Janssen, Kjersti Engan

Proceedings of the 10th Colour and Visual Computing Symposium 2020 (CVCS 2020), 2020

2019

Multiclass Tissue Classification of Whole-Slide Histological Images using Convolutional Neural Networks.

Rune Wetteland, Kjersti Engan, Trygve Eftestøl, Vebjørn Kvikstad, Emilius A. M. Janssen

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

2017

Prognostic prediction of histopathological images by local binary patterns and RUSBoost.

Jarle Urdal, Kjersti Engan, Vebjom Kvikstad, Emilius A. M. Janssen

Proceedings of the 25th European Signal Processing Conference, 2017