Emiel A. M. Janssen

23 papers C 1Journal 17Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Artificial Intelligence-Assisted Prostate Cancer Diagnosis for Reduced Use of Immunohistochemistry.
CoRR
Anders Blilie, Nita Mulliqi, Xiaoyi Ji, Kelvin Szolnoky, Sol Erika Boman, Matteo Titus, Geraldine Martinez Gonzalez, José Asenjo, Marcello Gambacorta, Paolo Libretti, Einar Gudlaugsson, Svein Reidar Kjosavik, Lars Egevad, Emiel A. M. Janssen, Martin Eklund, Kimmo Kartasalo
2025 J jnl
Finding Holes: Pathologist Level Performance Using AI for Cribriform Morphology Detection in Prostate Cancer.
CoRR
Kelvin Szolnoky, Anders Blilie, Nita Mulliqi, Toyonori Tsuzuki, Hemamali Samaratunga, Matteo Titus, Xiaoyi Ji, Sol Erika Boman, Einar Gudlaugsson, Svein Reidar Kjosavik, José Asenjo, Marcello Gambacorta, Paolo Libretti, Marcin Braun, Radzislaw Kordek, Roman Lowicki, Brett Delahunt, Kenneth A. Iczkowski, Theodorus H. van der Kwast, Geert J. L. H. van Leenders, Katia R. M. Leite, Chin-Chen Pan, Emiel A. M. Janssen, Martin Eklund, Lars Egevad, Kimmo Kartasalo
2025 J jnl
Generalisation of automatic tumour segmentation in histopathological whole-slide images across multiple cancer types.
CoRR
Ole-Johan Skrede, Manohar Pradhan, Maria Xepapadakis Isaksen, Tarjei Sveinsgjerd Hveem, Ljiljana Vlatkovic, Arild Nesbakken, Kristina Lindemann, Gunnar B. Kristensen, Jenneke Kasius, Alain G. Zeimet, Odd Terje Brustugun, Lill-Tove Rasmussen Busund, Elin H. Richardsen, Erik Skaaheim Haug, Bjørn Brennhovd, Emma Rewcastle, Melinda Lillesand, Vebjørn Kvikstad, Emiel A. M. Janssen, David J. Kerr, Knut Liestøl, Fritz Albregtsen, Andreas Kleppe
2025 J jnl
The impact of tissue detection on diagnostic artificial intelligence algorithms in digital pathology.
CoRR
Sol Erika Boman, Nita Mulliqi, Anders Blilie, Xiaoyi Ji, Kelvin Szolnoky, Einar Gudlaugsson, Emiel A. M. Janssen, Svein Reidar Kjosavik, José Asenjo, Marcello Gambacorta, Paolo Libretti, Marcin Braun, Radzislaw Kordek, Roman Lowicki, Kristina Hotakainen, Päivi Väre, Bodil Ginnerup Pedersen, Karina Dalsgaard Sørensen, Benedicte Parm Ulhøi, Lars Egevad, Kimmo Kartasalo
2024 J jnl
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs.
CoRR
Neel Kanwal, Farbod Khoraminia, Umay Kiraz, Andrés Mosquera-Zamudio, Carlos Monteagudo, Emiel A. M. Janssen, Tahlita C. M. Zuiverloon, Chunming Rong, Kjersti Engan
2024 J jnl
Equipping computational pathology systems with artifact processing pipelines: a showcase for computation and performance trade-offs.
BMC Medical Informatics Decis. Mak.
Neel Kanwal, Farbod Khoraminia, Umay Kiraz, Andrés Mosquera-Zamudio, Carlos Monteagudo, Emiel A. M. Janssen, Tahlita C. M. Zuiverloon, Chunming Rong, Kjersti Engan
2024 J jnl
NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning.
CoRR
Saul Fuster, Umay Kiraz, Trygve Eftestøl, Emiel A. M. Janssen, Kjersti Engan
2024 J jnl
Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide Images.
CoRR
Saul Fuster, Farbod Khoraminia, Julio Silva-Rodríguez, Umay Kiraz, Geert J. L. H. van Leenders, Trygve Eftestøl, Valery Naranjo, Emiel A. M. Janssen, Tahlita C. M. Zuiverloon, Kjersti Engan
2024 J jnl
Uninformed Teacher-Student for hard-samples distillation in weakly supervised mitosis localization.
Comput. Medical Imaging Graph.
Claudio Fernandez-Martín, Julio Silva-Rodríguez, Umay Kiraz, Sandra Morales, Emiel A. M. Janssen, Valery Naranjo
2023 J jnl
A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics.
CoRR
Marie Bø-Sande, Edvin Benjaminsen, Neel Kanwal, Saul Fuster, Helga Hardardottir, Ingrid Lundal, Emiel A. M. Janssen, Kjersti Engan
2023 J jnl
Balancing Privacy and Progress in Artificial Intelligence: Anonymization in Histopathology for Biomedical Research and Education.
CoRR
Neel Kanwal, Emiel A. M. Janssen, Kjersti Engan
2023 J jnl
Deep Learning for Predicting Metastasis on Melanoma WSIs.
CoRR
Christopher Andreassen, Saul Fuster, Helga Hardardottir, Emiel A. M. Janssen, Kjersti Engan
2023 — conf
Deep Learning for Predicting Metastasis on Melanoma Wsis.
ISBI
Christopher Andreassen, Saul Fuster, Helga Hardardottir, Emiel A. M. Janssen, Kjersti Engan
2023 — conf
Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images.
EUSIPCO
Neel Kanwal, Roger Amundsen, Helga Hardardottir, Luca Tomasetti, Erling Sandøy Undersrud, Emiel A. M. Janssen, Kjersti Engan
2023 J jnl
Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images.
CoRR
Neel Kanwal, Roger Amundsen, Helga Hardardottir, Luca Tomasetti, Erling Sandøy Undersrud, Emiel A. M. Janssen, Kjersti Engan
2022 J jnl
A spatial attention guided deep learning system for prediction of pathological complete response using breast cancer histopathology images.
Bioinform.
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
2022 C conf
Challenging Mitosis Detection Algorithms: Global Labels Allow Centroid Localization.
IDEAL
Claudio Fernandez-Martín, Umay Kiraz, Julio Silva-Rodríguez, Sandra Morales, Emiel A. M. Janssen, Valery Naranjo
2022 J jnl
Challenging mitosis detection algorithms: Global labels allow centroid localization.
CoRR
Claudio Fernandez-Martín, Umay Kiraz, Julio Silva-Rodríguez, Sandra Morales, Emiel A. M. Janssen, Valery Naranjo
2022 — conf
Invasive Cancerous Area Detection in Non-Muscle Invasive Bladder Cancer Whole Slide Images.
IVMSP
Saul Fuster, Farbod Khoraminia, Umay Kiraz, Neel Kanwal, Vebjørn Kvikstad, Trygve Eftestøl, Tahlita C. M. Zuiverloon, Emiel A. M. Janssen, Kjersti Engan
2021 J jnl
Automatic Diagnostic Tool for Predicting Cancer Grade in Bladder Cancer Patients Using Deep Learning.
IEEE Access
Rune Wetteland, Vebjørn Kvikstad, Trygve Eftestøl, Erlend Tøssebro, Melinda Lillesand, Emiel A. M. Janssen, Kjersti Engan
2021 — conf
Spatial Attention-Based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains.
MICCAI (8)
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
2021 J jnl
miRNA normalization enables joint analysis of several datasets to increase sensitivity and to reveal novel miRNAs differentially expressed in breast cancer.
PLoS Comput. Biol.
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
2020 — conf
Semi-supervised Tissue Segmentation of Histological Images.
CVCS
Ove Nicolai Dalheim, Rune Wetteland, Vebjørn Kvikstad, Emiel A. M. Janssen, Kjersti Engan