Search Results - HOLLMEN, S

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  1. 1
    Prognostic value of hyaluronan expression in non‐small‐cell lung cancer: Increased stromal expression indicates unfavorable outcome in patients with adenocarcinoma

    Prognostic value of hyaluronan expression in non‐small‐cell lung cancer: Increased stromal expression indicates unfavorable outcome in patients with adenocarcinoma by Pirinen, Risto, Tammi, Raija, Tammi, Markku, Hirvikoski, Pasi, Parkkinen, Jyrki J., Johansson, Risto, Böhm, Jan, Hollmén, Sinikka, Kosma, Veli‐Matti

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  2. 2
    Reduced expression of α-catenin, β-catenin, and γ-catenin is associated with high cell proliferative activity and poor differentiation in non-small cell lung cancer

    Reduced expression of α-catenin, β-catenin, and γ-catenin is associated with high cell proliferative activity and poor differentiation in non-small cell lung cancer by Pirinen, R T, Hirvikoski, P, Johansson, R T, Hollmén, S, Kosma, V-M

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  3. 3
    Lung Nodule Classification via Deep Transfer Learning in CT Lung Images

    Lung Nodule Classification via Deep Transfer Learning in CT Lung Images by Nobrega, Raul Victor Medeiros da, Peixoto, Solon Alves, da Silva, Suane Pires P., Filho, Pedro Pedrosa Reboucas

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  4. 4
    Classification of Alzheimer Disease on Imaging Modalities with Deep CNNs Using Cross-Modal Transfer Learning

    Classification of Alzheimer Disease on Imaging Modalities with Deep CNNs Using Cross-Modal Transfer Learning by Aderghal, Karim, Khvostikov, Alexander, Krylov, Andrei, Benois-Pineau, Jenny, Afdel, Karim, Catheline, Gwenaelle

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  5. 5
    Deep Learning and Hand-Crafted Feature Based Approaches for Polyp Detection in Medical Videos

    Deep Learning and Hand-Crafted Feature Based Approaches for Polyp Detection in Medical Videos by Pogorelov, Konstantin, Ostroukhova, Olga, Jeppsson, Mattis, Espeland, Havard, Griwodz, Carsten, de Lange, Thomas, Johansen, Dag, Riegler, Michael, Halvorsen, Pal

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  6. 6
    Improving Skin Lesion Segmentation with Generative Adversarial Networks

    Improving Skin Lesion Segmentation with Generative Adversarial Networks by Pollastri, Federico, Bolelli, Federico, Paredes Palacios, Roberto, Grana, Costantino

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  7. 7
    Motor Activity Based Classification of Depression in Unipolar and Bipolar Patients

    Motor Activity Based Classification of Depression in Unipolar and Bipolar Patients by Garcia-Ceja, Enrique, Riegler, Michael, Jakobsen, Petter, Torresen, Jim, Nordgreen, Tine, Oedegaard, Ketil J., Fasmer, Ole Bernt

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  8. 8
    Ejection Fraction Classification in Transthoracic Echocardiography Using a Deep Learning Approach

    Ejection Fraction Classification in Transthoracic Echocardiography Using a Deep Learning Approach by Silva, Joao Figueira, Silva, Jorge Miguel, Guerra, Antonio, Matos, Sergio, Costa, Carlos

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  9. 9
    Reduced expression of CD44v3 variant isoform is associated with unfavorable outcome in non–small cell lung carcinoma

    Reduced expression of CD44v3 variant isoform is associated with unfavorable outcome in non–small cell lung carcinoma by Pirinen, Risto, Hirvikoski, Pasi, Böhm, Jan, Kellokoski, Jari, Moisio, Kaisa, Virén, Markku, Johansson, Risto, Hollmén, Sinikka, Kosma, Veli-Matti

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  10. 10
    Differences between Android and iOS Users of the TrackYourTinnitus Mobile Crowdsensing mHealth Platform

    Differences between Android and iOS Users of the TrackYourTinnitus Mobile Crowdsensing mHealth Platform by Pryss, Rudiger, Reichert, Manfred, Schlee, Winfried, Spiliopoulou, Myra, Langguth, Berthold, Probst, Thomas

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  11. 11
    A Novel Gastric Ulcer Differentiation System Using Convolutional Neural Networks

    A Novel Gastric Ulcer Differentiation System Using Convolutional Neural Networks by Sun, Jee Young, Lee, Sang Won, Kang, Mun Cheon, Kim, Seung Wook, Kim, Seung Young, Ko, Sung Jea

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  12. 12
    Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding

    Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding by Hicks, Steven, Riegler, Michael, Pogorelov, Konstantin, Anonsen, Kim V., de Lange, Thomas, Johansen, Dag, Jeppsson, Mattis, Ranheim Randel, Kristin, Losada Eskeland, Sigrun, Halvorsen, Pal

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  13. 13
    Hospital 4.0 and Its Innovation in Methodologies and Technologies

    Hospital 4.0 and Its Innovation in Methodologies and Technologies by Afferni, Pierangelo, Merone, Mario, Soda, Paolo

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  14. 14
    mHealth: A Privacy Threat Analysis for Public Health Surveillance Systems

    mHealth: A Privacy Threat Analysis for Public Health Surveillance Systems by Iwaya, Leonardo H., Fischer-Hubner, Simone, Ahlfeldt, Rose-Mharie, Martucci, Leonardo A.

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  15. 15
    Region of Interest Detection in Fundus Images Using Deep Learning and Blood Vessel Information

    Region of Interest Detection in Fundus Images Using Deep Learning and Blood Vessel Information by Kim, Jongwoo, Candemir, Sema, Chew, Emily Y., Thoma, George R.

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  16. 16
    Predicting Disease Complications Using a Stepwise Hidden Variable Approach for Learning Dynamic Bayesian Networks

    Predicting Disease Complications Using a Stepwise Hidden Variable Approach for Learning Dynamic Bayesian Networks by Yousefi, Leila, Tucker, Allan, Al-luhaybi, Mashael, Saachi, Lucia, Bellazzi, Riccardo, Chiovato, Luca

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  17. 17
    Evaluating Wikipedia as a Source of Information for Disease Understanding

    Evaluating Wikipedia as a Source of Information for Disease Understanding by Garcia del Valle, Eduardo P., Lagunes Garcia, Gerardo, Prieto Santamaria, Lucia, Zanin, Massimiliano, Menasalvas Ruiz, Ernestina, Rodriguez Gonzalez, Alejandro

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  18. 18
    An Initial Investigation of the Charlson Comorbidity Index Regression Based on Clinical Notes

    An Initial Investigation of the Charlson Comorbidity Index Regression Based on Clinical Notes by Dias Pereira dos Santos, Henrique, D. P. S. Ulbrich, Ana Helena, Woloszyn, Vinicius, Vieira, Renata

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  19. 19
    Towards a Multimodal Multisensory Cognitive Assessment Framework

    Towards a Multimodal Multisensory Cognitive Assessment Framework by Niemann, Mira, Prange, Alexander, Sonntag, Daniel

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  20. 20
    Population Health Management Exploiting Machine Learning Algorithms to Identify High-Risk Patients

    Population Health Management Exploiting Machine Learning Algorithms to Identify High-Risk Patients by Panicacci, Silvia, Donati, Massimiliano, Fanucci, Luca, Bellin, Irene, Profili, Francesco, Francesconi, Paolo

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