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  1. Article ; Online: Morel paper is a passionate plea for the concept of "translation" with translational research (TR) as a flag.

    Jannin, Jean

    Memorias do Instituto Oswaldo Cruz

    2022  Volume 117, Page(s) e210277chgsb

    MeSH term(s) Translational Research, Biomedical
    Language English
    Publishing date 2022-04-15
    Publishing country Brazil
    Document type Journal Article
    ZDB-ID 953293-6
    ISSN 1678-8060 ; 0074-0276
    ISSN (online) 1678-8060
    ISSN 0074-0276
    DOI 10.1590/0074-02760210277chgsb
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  2. Article ; Online: Morel paper is a passionate plea for the concept of “translation” with translational research (TR) as a flag

    Jean Jannin

    Memórias do Instituto Oswaldo Cruz., Vol

    2022  Volume 117

    Keywords Arctic medicine. Tropical medicine ; RC955-962 ; Microbiology ; QR1-502
    Language English
    Publishing date 2022-04-01T00:00:00Z
    Publisher Instituto Oswaldo Cruz, Ministério da Saúde
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Reference-free Bayesian model for pointing errors of typein neurosurgical planning.

    Baxter, John S H / Croci, Stéphane / Delmas, Antoine / Bredoux, Luc / Lefaucheur, Jean-Pascal / Jannin, Pierre

    International journal of computer assisted radiology and surgery

    2023  Volume 18, Issue 7, Page(s) 1269–1277

    Abstract: Purpose: Many neurosurgical planning tasks rely on identifying points of interest in volumetric images. Often, these points require significant expertise to identify correctly as, in some cases, they are not visible but instead inferred by the clinician. ...

    Abstract Purpose: Many neurosurgical planning tasks rely on identifying points of interest in volumetric images. Often, these points require significant expertise to identify correctly as, in some cases, they are not visible but instead inferred by the clinician. This leads to a high degree of variability between annotators selecting these points. In particular, errors of type are when the experts fundamentally select different points rather than the same point with some inaccuracy. This complicates research as their mean may not reflect any of the experts' intentions nor the ground truth.
    Methods: We present a regularised Bayesian model for measuring errors of type in pointing tasks. This model is reference-free; in that it does not require a priori knowledge of the ground truth point but instead works on the basis of the level of consensus between multiple annotators. We apply this model to simulated data and clinical data from transcranial magnetic stimulation for chronic pain.
    Results: Our model estimates the probabilities of selecting the correct point in the range of 82.6[Formula: see text]88.6% with uncertainties in the range of 2.8[Formula: see text]4.0%. This agrees with the literature where ground truth points are known. The uncertainty has not previously been explored in the literature and gives an indication of the dataset's strength.
    Conclusions: Our reference-free Bayesian framework easily models errors of type in pointing tasks. It allows for clinical studies to be performed with a limited number of annotators where the ground truth is not immediately known, which can be applied widely for better understanding human errors in neurosurgical planning.
    MeSH term(s) Humans ; Bayes Theorem ; Probability ; Uncertainty
    Language English
    Publishing date 2023-05-30
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2365628-1
    ISSN 1861-6429 ; 1861-6410
    ISSN (online) 1861-6429
    ISSN 1861-6410
    DOI 10.1007/s11548-023-02943-w
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  4. Article ; Online: Contrôle, élimination, éradication : où en est-on dans les MTN ? Journée scientifique de la SFMTSI du 25 novembre 2021.

    Chandenier, Jacques / Chippaux, Jean-Philippe / Gazin, Pierre / Jannin, Jean / Solano, Philippe

    Medecine tropicale et sante internationale

    2021  Volume 1, Issue 4

    Title translation Control, elimination, eradication: Where do we stand with NTDs? Scientific day of the SFMTSI, 25 November 2021.
    MeSH term(s) Humans ; Neglected Diseases/epidemiology ; Neural Tube Defects ; Tropical Medicine
    Language French
    Publishing date 2021-12-10
    Publishing country France
    Document type Journal Article
    ISSN 2778-2034
    ISSN (online) 2778-2034
    DOI 10.48327/mtsi.2021.189
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  5. Article ; Online: Maladies tropicales et pauvreté : impact sur les droits de la femme et de l'enfant - journée scientifique de la Sfmtsi DU 25 Mai 2022.

    Jannin, Jean / Chandenier, Jacques / Delmont, Jean / Epelboin, Alain / Gay-Andrieu, Françoise / Gazin, Pierre / Goujon, Catherine / Marty, Pierre / Tantet, Claire

    Medecine tropicale et sante internationale

    2022  Volume 2, Issue 2

    Title translation Tropical diseases and poverty: impact on women's and children's rights - scientific day of the Sfmtsi, 25 may 2022.
    MeSH term(s) Child ; Female ; Human Rights ; Humans ; Neglected Diseases ; Poverty ; Tropical Medicine
    Language French
    Publishing date 2022-06-28
    Publishing country France
    Document type Journal Article
    ISSN 2778-2034
    ISSN (online) 2778-2034
    DOI 10.48327/mtsi.V2I2.2022.245
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  6. Article ; Online: Application and methodology of dissolution dynamic nuclear polarization in physical, chemical and biological contexts.

    Jannin, Sami / Dumez, Jean-Nicolas / Giraudeau, Patrick / Kurzbach, Dennis

    Journal of magnetic resonance (San Diego, Calif. : 1997)

    2019  Volume 305, Page(s) 41–50

    Abstract: Dissolution dynamic nuclear polarization (d-DNP) is a versatile method to enhance nuclear magnetic resonance (NMR) spectroscopy. It boosts signal intensities by four to five orders of magnitude thereby providing the potential to improve and enable a ... ...

    Abstract Dissolution dynamic nuclear polarization (d-DNP) is a versatile method to enhance nuclear magnetic resonance (NMR) spectroscopy. It boosts signal intensities by four to five orders of magnitude thereby providing the potential to improve and enable a plethora of applications ranging from the real-time monitoring of chemical or biological processes to metabolomics and in-cell investigations. This perspectives article highlights possible avenues for developments and applications of d-DNP in biochemical and physicochemical studies. It outlines how chemists, biologists and physicists with various fields of interest can transform and employ d-DNP as a powerful characterization method for their research.
    MeSH term(s) Biochemistry/instrumentation ; Chemistry, Physical/instrumentation ; Equipment Design ; Image Enhancement ; Nuclear Magnetic Resonance, Biomolecular/methods ; Nuclear Physics/instrumentation
    Language English
    Publishing date 2019-06-04
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 1469665-4
    ISSN 1096-0856 ; 1557-8968 ; 1090-7807 ; 0022-2364
    ISSN (online) 1096-0856 ; 1557-8968
    ISSN 1090-7807 ; 0022-2364
    DOI 10.1016/j.jmr.2019.06.001
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  7. Article ; Online: The francophone network on neglected tropical diseases.

    Jannin, Jean / Solano, Philippe / Quick, Isadora / Debre, Patrice

    PLoS neglected tropical diseases

    2017  Volume 11, Issue 8, Page(s) e0005738

    MeSH term(s) Communicable Disease Control/methods ; Communicable Diseases ; France ; Health Information Exchange ; Humans ; Neglected Diseases/therapy ; Tropical Medicine
    Language English
    Publishing date 2017-08-31
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2429704-5
    ISSN 1935-2735 ; 1935-2735
    ISSN (online) 1935-2735
    ISSN 1935-2735
    DOI 10.1371/journal.pntd.0005738
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  8. Article ; Online: Offline identification of surgical deviations in laparoscopic rectopexy.

    Huaulmé, Arnaud / Jannin, Pierre / Reche, Fabian / Faucheron, Jean-Luc / Moreau-Gaudry, Alexandre / Voros, Sandrine

    Artificial intelligence in medicine

    2020  Volume 104, Page(s) 101837

    Abstract: Objective: According to a meta-analysis of 7 studies, the median number of patients with at least one adverse event during the surgery is 14.4%, and a third of those adverse events were preventable. The occurrence of adverse events forces surgeons to ... ...

    Abstract Objective: According to a meta-analysis of 7 studies, the median number of patients with at least one adverse event during the surgery is 14.4%, and a third of those adverse events were preventable. The occurrence of adverse events forces surgeons to implement corrective strategies and, thus, deviate from the standard surgical process. Therefore, it is clear that the automatic identification of adverse events is a major challenge for patient safety. In this paper, we have proposed a method enabling us to identify such deviations. We have focused on identifying surgeons' deviations from standard surgical processes due to surgical events rather than anatomic specificities. This is particularly challenging, given the high variability in typical surgical procedure workflows.
    Methods: We have introduced a new approach designed to automatically detect and distinguish surgical process deviations based on multi-dimensional non-linear temporal scaling with a hidden semi-Markov model using manual annotation of surgical processes. The approach was then evaluated using cross-validation.
    Results: The best results have over 90% accuracy. Recall and precision for event deviations, i.e. related to adverse events, are respectively below 80% and 40%. To understand these results, we have provided a detailed analysis of the incorrectly-detected observations.
    Conclusion: Multi-dimensional non-linear temporal scaling with a hidden semi-Markov model provides promising results for detecting deviations. Our error analysis of the incorrectly-detected observations offers different leads in order to further improve our method.
    Significance: Our method demonstrated the feasibility of automatically detecting surgical deviations that could be implemented for both skill analysis and developing situation awareness-based computer-assisted surgical systems.
    MeSH term(s) Computer Systems ; Humans ; Laparoscopy ; Surgeons ; Workflow
    Language English
    Publishing date 2020-02-27
    Publishing country Netherlands
    Document type Journal Article ; Meta-Analysis ; Research Support, Non-U.S. Gov't
    ZDB-ID 645179-2
    ISSN 1873-2860 ; 0933-3657
    ISSN (online) 1873-2860
    ISSN 0933-3657
    DOI 10.1016/j.artmed.2020.101837
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    Zs.A 2547: Show issues Location:
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  9. Article ; Online: Fine optimization of a dissolution dynamic nuclear polarization experimental setting for

    Dey, Arnab / Charrier, Benoît / Lemaitre, Karine / Ribay, Victor / Eshchenko, Dmitry / Schnell, Marc / Melzi, Roberto / Stern, Quentin / Cousin, Samuel F / Kempf, James G / Jannin, Sami / Dumez, Jean-Nicolas / Giraudeau, Patrick

    Magnetic resonance (Gottingen, Germany)

    2022  Volume 3, Issue 2, Page(s) 183–202

    Abstract: NMR-based analysis of metabolite mixtures provides crucial information on biological systems but mostly relies on ... ...

    Abstract NMR-based analysis of metabolite mixtures provides crucial information on biological systems but mostly relies on 1D
    Language English
    Publishing date 2022-09-29
    Publishing country Germany
    Document type Journal Article
    ISSN 2699-0016
    ISSN (online) 2699-0016
    DOI 10.5194/mr-3-183-2022
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  10. Article ; Online: Automatic cortical target point localisation in MRI for transcranial magnetic stimulation via a multi-resolution convolutional neural network.

    Baxter, John S H / Bui, Quoc Anh / Maguet, Ehouarn / Croci, Stéphane / Delmas, Antoine / Lefaucheur, Jean-Pascal / Bredoux, Luc / Jannin, Pierre

    International journal of computer assisted radiology and surgery

    2021  Volume 16, Issue 7, Page(s) 1077–1087

    Abstract: Purpose: Transcranial magnetic stimulation (TMS) is a growing therapy for a variety of psychiatric and neurological disorders that arise from or are modulated by cortical regions of the brain represented by singular 3D target points. These target points ...

    Abstract Purpose: Transcranial magnetic stimulation (TMS) is a growing therapy for a variety of psychiatric and neurological disorders that arise from or are modulated by cortical regions of the brain represented by singular 3D target points. These target points are often determined manually with assistance from a pre-operative T1-weighted MRI, although there is growing interest in automatic target point localisation using an atlas. However, both approaches can be time-consuming which has an effect on the clinical workflow, and the latter does not take into account patient variability such as the varying number of cortical gyri where these targets are located.
    Methods: This paper proposes a multi-resolution convolutional neural network for point localisation in MR images for a priori defined points in increasingly finely resolved versions of the input image. This approach is both fast and highly memory efficient, allowing it to run in high-throughput centres, and has the capability of distinguishing between patients with high levels of anatomical variability.
    Results: Preliminary experiments have found the accuracy of this network to be [Formula: see text] mm, compared to [Formula: see text] mm for deformable registration and [Formula: see text] mm for a human expert. For most treatment points, the human expert and proposed CNN statistically significantly outperform registration, but neither statistically significantly outperforms the other, suggesting that the proposed network has human-level performance.
    Conclusions: The human-level performance of this network indicates that it can improve TMS planning by automatically localising target points in seconds, avoiding more time-consuming registration or manual point localisation processes. This is particularly beneficial for out-of-hospital centres with limited computational resources where TMS is increasingly being administered.
    MeSH term(s) Brain/diagnostic imaging ; Humans ; Image Processing, Computer-Assisted/methods ; Magnetic Resonance Imaging/methods ; Nervous System Diseases/diagnosis ; Nervous System Diseases/therapy ; Neural Networks, Computer ; Reproducibility of Results ; Transcranial Magnetic Stimulation/methods
    Language English
    Publishing date 2021-06-05
    Publishing country Germany
    Document type Comparative Study ; Journal Article
    ZDB-ID 2365628-1
    ISSN 1861-6429 ; 1861-6410
    ISSN (online) 1861-6429
    ISSN 1861-6410
    DOI 10.1007/s11548-021-02386-1
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