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  1. Article ; Online: Histopathology-led quality evaluation of endoluminal excision specimens - not a bad idea!

    Jansen, Marnix

    Endoscopy

    2021  Volume 54, Issue 6, Page(s) 571–573

    Language English
    Publishing date 2021-12-14
    Publishing country Germany
    Document type Editorial
    ZDB-ID 80120-3
    ISSN 1438-8812 ; 0013-726X
    ISSN (online) 1438-8812
    ISSN 0013-726X
    DOI 10.1055/a-1656-9640
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Histopathology-led quality evaluation of endoluminal excision specimens – not a bad idea!

    Jansen, Marnix

    Endoscopy

    2021  Volume 54, Issue 06, Page(s) 571–573

    Language English
    Publishing date 2021-12-14
    Publisher Georg Thieme Verlag KG
    Publishing place Stuttgart ; New York
    Document type Article
    ZDB-ID 80120-3
    ISSN 1438-8812 ; 0013-726X
    ISSN (online) 1438-8812
    ISSN 0013-726X
    DOI 10.1055/a-1656-9640
    Database Thieme publisher's database

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  3. Article ; Online: Marching out of the crypt.

    Jansen, Marnix

    Science (New York, N.Y.)

    2019  Volume 365, Issue 6454, Page(s) 642–643

    MeSH term(s) Cell Movement ; Humans ; Hydranencephaly ; Kidney Diseases
    Language English
    Publishing date 2019-08-15
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 128410-1
    ISSN 1095-9203 ; 0036-8075
    ISSN (online) 1095-9203
    ISSN 0036-8075
    DOI 10.1126/science.aay5861
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.MG 77: Show issues

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  4. Book ; Online ; E-Book: Stem cells, pre-neoplasia, and early cancer of the upper gastrointestinal tract

    Jansen, Marnix / Wright, Nicholas A.

    (Advances in experimental medicine and biology ; 908)

    2016  

    Author's details Marnix Jansen, Nicholas A. Wright editors
    Series title Advances in experimental medicine and biology ; 908
    Collection
    Keywords Medicine ; Cancer research ; Gastroenterology ; Stem cells
    Subject code 614.5999
    Language English
    Size 1 Online-Ressource (xii, 486 Seiten), Illustrationen
    Publisher Springer
    Publishing place Cham
    Publishing country Switzerland
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT019085744
    ISBN 978-3-319-41388-4 ; 9783319413860 ; 3-319-41388-0 ; 3319413864
    DOI 10.1007/978-3-319-41388-4
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  5. Book: Stem cells, pre-neoplasia, and early cancer of the upper gastrointestinal tract

    Jansen, Marnix / Wright, Nicholas A.

    (Advances in experimental medicine and biology ; 908)

    2016  

    Author's details Marnix Jansen, Nicholas A. Wright editors
    Series title Advances in experimental medicine and biology ; 908
    Collection
    Keywords barrett's esophagus ; esophageal cancer ; metastasis ; stomach cancer ; upper GI
    Language English
    Size XII, 486 Seiten, Illustrationen, Diagramme, 23.5 cm x 15.5 cm, 0 g
    Publisher Springer
    Publishing place Cham
    Publishing country Switzerland
    Document type Book
    HBZ-ID HT019085761
    ISBN 978-3-319-41386-0 ; 3-319-41386-4 ; 9783319413884 ; 3319413880
    Database Catalogue ZB MED Medicine, Health

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    Shelf markLoan statusLocation
    Zs A 3192 -908- not available for loan Zeitschriften-Lesesaal

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  6. Article ; Online: Early detection and risk stratification of gastric cancer are likely to be refined with biopsies targeted through high-resolution-enhanced imaging.

    Jansen, Marnix / Banks, Matthew

    Gut

    2019  Volume 69, Issue 9, Page(s) 1

    MeSH term(s) Adenocarcinoma ; Biopsy ; Early Detection of Cancer ; Gastroenterology ; Gastroscopy ; Humans ; Risk Assessment ; Stomach Neoplasms/diagnostic imaging
    Language English
    Publishing date 2019-10-14
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 80128-8
    ISSN 1468-3288 ; 0017-5749
    ISSN (online) 1468-3288
    ISSN 0017-5749
    DOI 10.1136/gutjnl-2019-319921
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Book ; Online: Safe Policy Improvement for POMDPs via Finite-State Controllers

    Simão, Thiago D. / Suilen, Marnix / Jansen, Nils

    2023  

    Abstract: We study safe policy improvement (SPI) for partially observable Markov decision processes (POMDPs). SPI is an offline reinforcement learning (RL) problem that assumes access to (1) historical data about an environment, and (2) the so-called behavior ... ...

    Abstract We study safe policy improvement (SPI) for partially observable Markov decision processes (POMDPs). SPI is an offline reinforcement learning (RL) problem that assumes access to (1) historical data about an environment, and (2) the so-called behavior policy that previously generated this data by interacting with the environment. SPI methods neither require access to a model nor the environment itself, and aim to reliably improve the behavior policy in an offline manner. Existing methods make the strong assumption that the environment is fully observable. In our novel approach to the SPI problem for POMDPs, we assume that a finite-state controller (FSC) represents the behavior policy and that finite memory is sufficient to derive optimal policies. This assumption allows us to map the POMDP to a finite-state fully observable MDP, the history MDP. We estimate this MDP by combining the historical data and the memory of the FSC, and compute an improved policy using an off-the-shelf SPI algorithm. The underlying SPI method constrains the policy-space according to the available data, such that the newly computed policy only differs from the behavior policy when sufficient data was available. We show that this new policy, converted into a new FSC for the (unknown) POMDP, outperforms the behavior policy with high probability. Experimental results on several well-established benchmarks show the applicability of the approach, even in cases where finite memory is not sufficient.

    Comment: Accecpted at AAAI 2023
    Keywords Computer Science - Artificial Intelligence ; Computer Science - Machine Learning
    Publishing date 2023-01-12
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: The complexity of cancer origins at the gastro-oesophageal junction.

    Bornschein, Jan / Quante, Michael / Jansen, Marnix

    Best practice & research. Clinical gastroenterology

    2021  Volume 50-51, Page(s) 101729

    Abstract: Chronic acid-biliary reflux and Helicobacter pylori infection are instrumental environmental drivers of cancer initiation and progression in the upper gastrointestinal tract. Remarkably, although these environmental carcinogens are quite dissimilar, the ... ...

    Abstract Chronic acid-biliary reflux and Helicobacter pylori infection are instrumental environmental drivers of cancer initiation and progression in the upper gastrointestinal tract. Remarkably, although these environmental carcinogens are quite dissimilar, the tumour progression cascade these carcinogens engender is highly comparable. For this reason, studies of malignant progression occurring at the anatomic borderland between the oesophagus and the stomach have traditionally lumped junctional adenocarcinomas with either oesophageal adenocarcinoma or gastric adenocarcinoma. Whilst studies have revealed remarkable epidemiological and genetic similarities of these cancers and their associated premalignant conditions, these works have also revealed some key differences. This highlights that further scientific effort demands a dedicated focus on the understanding of the cell-cell interaction between the epithelium and the local microenvironment in this anatomic region. We here review available evidence with regards to tumour progression occurring at the gastro-oesophageal junction and contrast it with available data on cancer evolution in the metaplastic oesophagus and distal stomach.
    MeSH term(s) Barrett Esophagus/diagnosis ; Barrett Esophagus/pathology ; Esophageal Neoplasms/diagnosis ; Esophageal Neoplasms/pathology ; Esophagogastric Junction/pathology ; Humans ; Risk Factors ; Stomach Neoplasms/diagnosis ; Stomach Neoplasms/pathology
    Language English
    Publishing date 2021-02-14
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 2048181-0
    ISSN 1532-1916 ; 1521-6918
    ISSN (online) 1532-1916
    ISSN 1521-6918
    DOI 10.1016/j.bpg.2021.101729
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Risk-stratified clinical management of superficially invasive esophageal squamous cell carcinoma after endoscopic resection: finding the sweet spot.

    Jansen, Marnix / Bergman, Jacques

    Endoscopy

    2018  Volume 50, Issue 7, Page(s) 655–656

    MeSH term(s) Carcinoma, Squamous Cell/surgery ; Endoscopy ; Esophageal Neoplasms/surgery ; Esophageal Squamous Cell Carcinoma ; Esophagectomy ; Humans
    Language English
    Publishing date 2018-06-27
    Publishing country Germany
    Document type Editorial ; Comment
    ZDB-ID 80120-3
    ISSN 1438-8812 ; 0013-726X
    ISSN (online) 1438-8812
    ISSN 0013-726X
    DOI 10.1055/a-0596-7447
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Book ; Online: Decision-Making Under Uncertainty

    Badings, Thom / Simão, Thiago D. / Suilen, Marnix / Jansen, Nils

    Beyond Probabilities

    2023  

    Abstract: This position paper reflects on the state-of-the-art in decision-making under uncertainty. A classical assumption is that probabilities can sufficiently capture all uncertainty in a system. In this paper, the focus is on the uncertainty that goes beyond ... ...

    Abstract This position paper reflects on the state-of-the-art in decision-making under uncertainty. A classical assumption is that probabilities can sufficiently capture all uncertainty in a system. In this paper, the focus is on the uncertainty that goes beyond this classical interpretation, particularly by employing a clear distinction between aleatoric and epistemic uncertainty. The paper features an overview of Markov decision processes (MDPs) and extensions to account for partial observability and adversarial behavior. These models sufficiently capture aleatoric uncertainty but fail to account for epistemic uncertainty robustly. Consequently, we present a thorough overview of so-called uncertainty models that exhibit uncertainty in a more robust interpretation. We show several solution techniques for both discrete and continuous models, ranging from formal verification, over control-based abstractions, to reinforcement learning. As an integral part of this paper, we list and discuss several key challenges that arise when dealing with rich types of uncertainty in a model-based fashion.
    Keywords Computer Science - Artificial Intelligence ; Computer Science - Machine Learning ; Computer Science - Robotics ; Electrical Engineering and Systems Science - Systems and Control
    Subject code 501
    Publishing date 2023-03-10
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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