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ORCIDEmiel A. M. Janssen
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2020 – today
- 2024
[j5]Claudio Fernandez-Martín
, Julio Silva-Rodríguez, Umay Kiraz, Sandra Morales, Emiel A. M. Janssen, Valery Naranjo:
Uninformed Teacher-Student for hard-samples distillation in weakly supervised mitosis localization. Comput. Medical Imaging Graph. 112: 102328 (2024)- [j4]Neel Kanwal, Farbod Khoraminia, Umay Kiraz, Andrés Mosquera-Zamudio, Carlos Monteagudo, Emiel A. M. Janssen, Tahlita C. M. Zuiverloon, Chunming Rong, Kjersti Engan:
Equipping computational pathology systems with artifact processing pipelines: a showcase for computation and performance trade-offs. BMC Medical Informatics Decis. Mak. 24(1): 288 (2024) - [c9]Marie Bø-Sande, Edvin Benjaminsen, Neel Kanwal, Saul Fuster, Helga Hardardottir, Ingrid Lundal, Emilius A. M. Janssen, Kjersti Engan:
A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics. NLDL 2024: 20-26 - [i9]Neel Kanwal, Farbod Khoraminia, Umay Kiraz, Andrés Mosquera-Zamudio, Carlos Monteagudo, Emiel A. M. Janssen, Tahlita C. M. Zuiverloon, Chunming Rong, Kjersti Engan:
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs. CoRR abs/2403.07743 (2024) - [i8]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:
Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide Images. CoRR abs/2405.15264 (2024) - [i7]Saul Fuster, Umay Kiraz, Trygve Eftestøl, Emiel A. M. Janssen, Kjersti Engan:
NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning. CoRR abs/2405.15275 (2024) - 2023
- [c8]Neel Kanwal, Roger Amundsen, Helga Hardardottir, Luca Tomasetti, Erling Sandøy Undersrud, Emiel A. M. Janssen, Kjersti Engan:
Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images. EUSIPCO 2023: 975-979 - [c7]Christopher Andreassen, Saul Fuster, Helga Hardardottir, Emiel A. M. Janssen, Kjersti Engan:
Deep Learning for Predicting Metastasis on Melanoma Wsis. ISBI 2023: 1-5 - [i6]Neel Kanwal, Roger Amundsen, Helga Hardardottir, Luca Tomasetti, Erling Sandøy Undersrud, Emiel A. M. Janssen, Kjersti Engan:
Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images. CoRR abs/2302.03014 (2023) - [i5]Christopher Andreassen, Saul Fuster, Helga Hardardottir, Emiel A. M. Janssen, Kjersti Engan:
Deep Learning for Predicting Metastasis on Melanoma WSIs. CoRR abs/2303.05752 (2023) - [i4]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:
Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis. CoRR abs/2307.05519 (2023) - [i3]Neel Kanwal, Emiel A. M. Janssen, Kjersti Engan:
Balancing Privacy and Progress in Artificial Intelligence: Anonymization in Histopathology for Biomedical Research and Education. CoRR abs/2307.09426 (2023) - [i2]Marie Bø-Sande, Edvin Benjaminsen, Neel Kanwal, Saul Fuster, Helga Hardardottir, Ingrid Lundal, Emiel A. M. Janssen, Kjersti Engan:
A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics. CoRR abs/2312.08766 (2023) - 2022
- [j3]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:
A spatial attention guided deep learning system for prediction of pathological complete response using breast cancer histopathology images. Bioinform. 38(19): 4605-4612 (2022) - [c6]Claudio Fernandez-Martín, Umay Kiraz, Julio Silva-Rodríguez, Sandra Morales, Emiel A. M. Janssen, Valery Naranjo:
Challenging Mitosis Detection Algorithms: Global Labels Allow Centroid Localization. IDEAL 2022: 482-490 - [c5]Saul Fuster, Farbod Khoraminia, Umay Kiraz, Neel Kanwal, Vebjørn Kvikstad, Trygve Eftestøl, Tahlita C. M. Zuiverloon, Emiel A. M. Janssen, Kjersti Engan:
Invasive Cancerous Area Detection in Non-Muscle Invasive Bladder Cancer Whole Slide Images. IVMSP 2022: 1-5 - [i1]Claudio Fernandez-Martín, Umay Kiraz, Julio Silva-Rodríguez, Sandra Morales, Emiel A. M. Janssen, Valery Naranjo:
Challenging mitosis detection algorithms: Global labels allow centroid localization. CoRR abs/2211.16852 (2022) - 2021
- [j2]Rune Wetteland, Vebjørn Kvikstad, Trygve Eftestøl, Erlend Tøssebro, Melinda Lillesand, Emiel A. M. Janssen, Kjersti Engan:
Automatic Diagnostic Tool for Predicting Cancer Grade in Bladder Cancer Patients Using Deep Learning. IEEE Access 9: 115813-115825 (2021) - [j1]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:
miRNA normalization enables joint analysis of several datasets to increase sensitivity and to reveal novel miRNAs differentially expressed in breast cancer. PLoS Comput. Biol. 17(2) (2021) - [c4]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:
Spatial Attention-Based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains. MICCAI (8) 2021: 550-560 - 2020
- [c3]Ove Nicolai Dalheim, Rune Wetteland, Vebjørn Kvikstad, Emiel A. M. Janssen, Kjersti Engan:
Semi-supervised Tissue Segmentation of Histological Images. CVCS 2020
2010 – 2019
- 2019
- [c2]Rune Wetteland, Kjersti Engan, Trygve Eftestøl, Vebjørn Kvikstad, Emilius A. M. Janssen:
Multiclass Tissue Classification of Whole-Slide Histological Images using Convolutional Neural Networks. ICPRAM 2019: 320-327 - 2017
- [c1]Jarle Urdal, Kjersti Engan, Vebjom Kvikstad, Emilius A. M. Janssen:
Prognostic prediction of histopathological images by local binary patterns and RUSBoost. EUSIPCO 2017: 2349-2353
Coauthor Index
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last updated on 2024-10-15 21:36 CEST by the dblp team
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