Publications

  • Key publications

    Detection of lymph node metastasis in colorectal cancer with the help of deep neural network

    Poster presentation at ECP 2020

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    Evaluation of 3 different scanners’ performance in creating images suitable for INIFY Prostate to accurately predict suspicious cancer areas in prostate biopsies

    Poster Presentation Scanner Evaluation, DPA 2021

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  • Articles

    2019-12-11

    Clinical‑grade Computational Pathology: Alea Iacta Est

    J Pathol Inform 2019, 10:38
    Filippo Fraggetta
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    2018-09-14

    Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content

    MICCAI 2018 – COMPAY Workshop on computational pathology, Granada, Spain.
    Sebastian Otalora, Manfredo Atzori, Vincent Andrearczyk, and Henning Muller.
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    2018-08-26

    From detection of individual metastases to classification of lymph node status at the patient level: the CAMELYON17 challenge

    IEEE Transaction on Medical Imaging PP(99):1-1, To be released.
    Peter Bandi, Oscar Geesink, Ludwig Jacobsson, Martin Hedlund et al.
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    2018-07-25

    Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images

    MICCAI 2018 – COMPAY Workshop on computational pathology, Granada, Spain.
    Feng Gu, Nikolay Burlutskiy, Mats Andersson, and Lena Kajland Wilén.
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    2018-05-24

    Determining the scale of image patches using a Deep Learning Approach

    ISBI 2018. Washington D.C., USA, 2018
    Sebastian Otálora, et. al.
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    2018-03-06

    Tumor proliferation grading from whole slide images

    SPIE Medical Imaging, 2018, Houston, Texas, United States
    Mikael Rousson, Martin Hedlund, Mats Andersson, Ludwig Jacobsson, Gunnar Lathen, Bjorn Norell, Oscar Jimenez-del-Toro, Henning Mueller, Manfredo Atzori.
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    2017-06-11

    Deep Multimodal Case-Based Retrieval for Large Histopathology Dataset

    MICCAI 2017 workshop on Patch-based image analysis, Quebec City, Canada, 2017. (The paper will be published in Springer LNCS)
    Oscar Jimenez del Toro, Sebastian Otálora, Manfredo Atzori and Henning Müller
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    2017-02-10

    Elsevier book on Texture Analysis, chapter Analysis of Histopathology Images

    From Traditional Machine Learning to Deep Learning, 2017
    Oscar Jimenez del Toro, Sebastian Otálora, Mats Andersson, Kristian Eurén, Martin Hedlund, Mikael Rousson, Henning Müller and Manfredo Atzori
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    2017-01-10

    Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score

    SPIE Medical Imaging, pages 101400O-101400O-9, 2017
    Oscar Jimenez del Toro, Manfredo Atzori, Sebastian Otálora, Mats Andersson, Kristian Eurén, Martin Hedlund, Peter Rönnquist and Henning Müller.
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    Oral presentations

    2018-12-13

    Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data

    International Conference on Medical Imaging with Deep Learning (MIDL2018 in Amsterdam)
    Nikolay Burlutskiy, Nicolas Pinchaud, Feng Gu, Daniel Hägg, Mats Andersson, Lars Björk Kristian Eurén, Cristina Svensson, Lena Kajland Wilén, Martin Hedlund
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    2018-06-01

    A new high-throughput auto-annotation method to detect and outline cancer areas in prostate biopsies

    ECDP 2018 Helsinki, Finland.
    Lars Björk, Jonas Gustafsson, Feria Hikmet Noraddin, Kristian Eurén, Cecilia Lindskog
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    Posters

    2022-08-26

    Evaluation of 3 different scanners' performance in creating images suitable for INIFY Prostate* to accurately predict suspicious cancer areas in prostate biopsies

    Journal of Pathology Informatics
    Jennifer K.E., Vazzano, Lena Kajland Wilén, Ming Zhou, Dorota Johansson, Anil Parwani
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    2021-09-16

    Detection of lymph node metastasis in colorectal cancer with the help of deep neural network

    Poster presentation at ECP 2020
    Csaba Miklos Kindler, Giorgia Milli, Christel Ottosson, Kristian Euren, Lena Kajland Wilen, Maziar Nikberg
    PDF
    2021-09-08

    Evaluation of 3 different scanners’ performance in creating images suitable for INIFY Prostate to accurately predict suspicious cancer areas in prostate biopsies

    DPA 2021
    Anil Parwani, Dorota Johansson, Kristian Eurén, Lena Kajland Wilén, Ming Zhou
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    2020-12-20

    An AI-based tool to identify cancer areas in lung biopsies

    Poster presentation at ECP 2020, December
    Patrick Micke, Lars Björk, Hedvig Elfving, Stefan Elwing, Mats Andersson, Cecilia Lindskog, Lena Kajland Wilen
    PDF
    2018-05-15

    A Deep Learning Framework for Automatic Diagnosis in Lung Cancer

    International Conference on Medical Imaging with Deep Learning (MIDL2018 in Amsterdam)
    Nikolay Burlutskiy, Feng Gu, Lena Kajland Wilen, Max Backman, Patrick Micke
    PDF