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  • 2023

    AngioMoCo: Learning-Based Motion Correction in Cerebral Digital Subtraction Angiography

    Su, R., van der Sluijs, M., Cornelissen, S., van Zwam, W., van der Lugt, A., Niessen, W., Ruijters, D., van Walsum, T. & Dalca, A., 1 Jan 2023, Medical Image Computing and Computer Assisted Intervention: MICCAI 2023 - 26th International Conference, Proceedings. Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). 7 ed. Springer Verlag, Vol. 14226. p. 770-780 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14226 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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  • An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer’s Disease

    Kang, W., Li, B., Papma, J. M., Jiskoot, L. C., Deyn, P. P. D., Biessels, G. J., Claassen, J. A. H. R., Middelkoop, H. A. M., Flier, W. M. V. D., Ramakers, I. H. G. B., Klein, S., Bron, E. E. & Parelsnoer Neurodegenerative Diseases study group, 1 Jan 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops - ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023, Proceedings. Celebi, M. E., Salekin, M. S., Kim, H. & Albarqouni, S. (eds.). Springer Verlag, Vol. 14393. p. 69-78 10 p. 305659. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14393).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

    Open Access
  • 2022

    Synthetic data of simulated microcalcification clusters to train and explain deep learning detection models in contrast-enhanced mammography

    Van Camp, A., Beuque, M., Cockmartin, L., Woodruff, H. C., Marshall, N. W., Lobbes, M., Lambin, P. & Bosmans, H., 1 Jan 2022, 16th International Workshop on Breast Imaging: IWBI 2022. Bosmans, H., Marshall, N. & Van Ongeval, C. (eds.). SPIE, Vol. 12286. 122860U. (Proceedings of SPIE - The International Society for Optical Engineering; No. 122860U, Vol. 12286).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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  • Towards Closed-Loop Speech Synthesis From Stereotactic Eeg: A Unit Selection Approach

    Angrick, M., Ottenhoff, M., Diener, L., Ivucic, D., Ivucic, G., Goulis, S., Colon, A. J., Wagner, L., Krusienski, D. J., Kubben, P. L., Schultz, T. & Herff, C., 2022, 2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP). IEEE, p. 1296-1300 5 p. (International Conference on Acoustics Speech and Signal Processing Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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  • 2021

    Continuously Decoding Grasping Movements using Stereotactic Depth Electrodes

    Ottenhoff, M. C., Goulis, S., Wagner, L., Tousseyn, S., Colon, A., Kubben, P. & Herff, C., Nov 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, p. 6098-6101 4 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic

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  • Multilingual Learning for Mild Cognitive Impairment Screening from a Clinical Speech Task

    Lindsay, H., Müller, P., Kröger, I., Tröger, J., Linz, N., König, A., Zeghari, R., Verhey, F. R. J. & Ramakers, I. H. G. B., 1 Jan 2021, International Conference Recent Advances in Natural Language Processing, RANLP 2021. Angelova, G., Kunilovskaya, M., Mitkov, R. & Nikolova-Koleva, I. (eds.). Association for Computational Linguistics (ACL), p. 830-838 9 p. (International Conference Recent Advances in Natural Language Processing, RANLP).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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  • Quantitative Interpretation of Myocardial Fiber Structure in the Left and Right Ventricle of an Equine Heart Using Diffusion Tensor Cardiovascular Magnetic Resonance Imaging

    Straatman, H. C. H., Van Der Schoor, I., Froeling, M., Van Steenkiste, G., Holtackers, R. J. & Delhaas, T., 18 Jun 2021, Functional Imaging and Modeling of the Heart. FIMH 2021. Ennis, D. B., Perotti, L. E. & Wang, V. Y. (eds.). Springer, Cham, p. 178-188 (Lecture Notes in Computer Science, Vol. 12738).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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  • Speech Synthesis from Stereotactic EEG using an Electrode Shaft Dependent Multi-Input Convolutional Neural Network Approach

    Angrick, M., Ottenhoff, M., Goulis, S., Colon, A. J., Wagner, L., Krusienski, D. J., Kubben, P., Schultz, T. & Herff, C., 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, p. 6045-6048 4 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic

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  • 2020

    FASTRACK II magnetic resonance imaging sub-study Diffusion and perfusion biomarkers for renal SABR response

    Korte, J. C., Reynolds, H., Lasocki, A., Vanneste, B. G. L., Miclea, R., Backes, W. H., Sridharan, S., Sidhom, M., Rai, R., Kron, T., Hardcastle, N. & Siva, S., 16 Oct 2020, Micro-Mini & Nano Dosimetry and Innovative Technologies in Radiation Oncology. 1 ed. Vol. 1662. 012018. (Journal of Physics: Conference Series).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

  • Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation

    Camarasa, R., Bos, D., Hendrikse, J., Nederkoorn, P., Kooi, E., Van Der Lugt, A. & De Bruijne, M., 5 Oct 2020, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis. UNSURE 2020, GRAIL 2020. Sudre, C. H., Fehri, H., Arbel, T., Baumgartner, C. F., Dalca, A., Tanno, R., van Leemput, K., Wells, W. M., Sotiras, A., Papiez, B., Ferrante, E. & Parisot, S. (eds.). Springer, Cham, p. 32-41 10 p. (Lecture Notes in Computer Science, Vol. 12443).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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  • 2019

    A convolutional neural network based framework for classification of seizure types

    Raghu, Sriraam, N., Temel, Y., Rao, S. V. & Kubben, P. L., Jul 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE Xplore, Vol. 2019. p. 2547-2550 4 p. (IEEE Engineering in Medicine and Biology Society).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

  • 2018

    Automatic Detection of Tumor Budding in Colorectal Carcinoma with Deep Learning

    Bokhorst, J. M., Rijstenberg, L., Goudkade, D., Nagtegaal, I., van der Laak, J. & Ciompi, F., 2018, COMPUTATIONAL PATHOLOGY AND OPHTHALMIC MEDICAL IMAGE ANALYSIS. Springer, Vol. 11039. p. 130-138 9 p. (Lecture Notes in Computer Science, Vol. 11039).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

  • Breast Lesion Segmentation Software For Dce-Mri: An Open Source Gpgpu Based Optimization

    Zavala-Romero, O., Meyer-Baese, A. & Lobbes, M. B. I., 2018, 2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018). IEEE, p. 211-215 5 p. (IEEE International Symposium on Biomedical Imaging).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

  • Multi-level analysis of spatio-temporal features in non-mass enhancing breast tumors

    Tahmassebi, A., Ngo, D., Garcia, A., Castillo, E., Morales, D. P., Pinker-Domenig, K., Lobbes, M. & Meyer-Base, A., 2018, SMART BIOMEDICAL AND PHYSIOLOGICAL SENSOR TECHNOLOGY XV. SPIE-INT SOC OPTICAL ENGINEERING, 13 p. (Proceedings of SPIE, Vol. 10662).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

  • 2017

    Dynamical Graph Theory Networks Techniques for the Analysis of Sparse Connectivity Networks in Dementia

    Tahmassebi, A., Pinker-Domenig, K., Wengert, G., Lobbes, M., Stadlbauer, A., Romero, F. J., Morales, D. P., Castillo, E., Garcia, A., Botella, G. & Meyer-Base, A., 2017, SMART BIOMEDICAL AND PHYSIOLOGICAL SENSOR TECHNOLOGY XIV. SPIE-INT SOC OPTICAL ENGINEERING, Vol. 10216. 8 p. 1021609. (Proceedings of SPIE, Vol. 10216).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

  • The Driving Regulators of the Connectivity Protein Network of Brain Malignancies

    Tahmassebi, A., Pinker-Domenig, K., Wengert, G., Lobbes, M., Stadlbauer, A., Wildburger, N. C., Romero, F. J., Morales, D. P., Castillo, E., Garcia, A., Botella, G. & Meyer-Base, A., 2017, SMART BIOMEDICAL AND PHYSIOLOGICAL SENSOR TECHNOLOGY XIV. SPIE-INT SOC OPTICAL ENGINEERING, 8 p. 1021605. (Proceedings of SPIE, Vol. 10216).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

  • 2016

    Computer-Aided Diagnosis of Diagnostically Challenging Lesions in Breast MRI: A Comparison between a Radiomics and a Feature-Selective Approach

    Hoffmann, S., Lobbes, M., Houben, I., Pinker-Domenig, K., Wengert, G., Burgeth, B., Meyer-Base, U., Lemaitre, G. & Meyer-Baese, A., 2016, SENSING AND ANALYSIS TECHNOLOGIES FOR BIOMEDICAL AND COGNITIVE APPLICATIONS 2016. Dai, L., Zheng, Y., Chu, H. & Meyer-Bäse, A. D. (eds.). SPIE-INT SOC OPTICAL ENGINEERING, Vol. 9871. 7 p. (Proceedings of SPIE; No. 98710H, Vol. 9871).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

  • Proteomic Data Analysis of Glioma Cancer Stem-Cell Lines Based on Novel Nonlinear Dimensional Data Reduction Techniques

    Lespinats, S., Pinker-Domenig, K., Wengert, G., Houben, I., Lobbes, M., Stadlbauer, A. & Meyer-Base, A., 2016, SENSING AND ANALYSIS TECHNOLOGIES FOR BIOMEDICAL AND COGNITIVE APPLICATIONS 2016. Dai, L., Zheng, Y., Chu, H. & Meyer-Bäse, A. D. (eds.). SPIE-INT SOC OPTICAL ENGINEERING, Vol. 9871. 8 p. (Proceedings of SPIE; No. 98710T, Vol. 9871).

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review