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  • 2024

    Functional Outcome Prediction in Acute Ischemic Stroke

    Heylen, E., Bertels, J., Lambert, J., Demeestere, J., Ståhl, F., Holmberg, Å., van Zwam, W., Majoie, C., van der Lugt, A., Lemmens, R. & Maes, F., 1 Jan 2024, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 9th International Workshop, BrainLes 2023, and 3rd International Workshop, SWITCH 2023, Held in Conjunction with MICCAI 2023, Revised Selected Papers. Baid, U., Dorent, R., Malec, S., Pytlarz, M., Su, R., Wijethilake, N., Bakas, S. & Crimi, A. (eds.). Springer Verlag, Vol. 14668 LNCS. p. 124-133 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14668 LNCS).

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  • Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks

    Gallifant, J., Chen, S., Moreira, P., Munch, N., Gao, M., Pond, J., Aerts, H., Celi, L. A., Hartvigsen, T. & Bitterman, D. S., 1 Jan 2024, EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (eds.). Association for Computational Linguistics (ACL), p. 12448-12465 18 p. (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024).

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

  • Multimodal Deep Learning for Functional Outcome Prediction in Endovascular Therapy

    te Nijenhuis, F., Su, R., van Doormaal, P. J., Hofmeijer, J., Martens, J., van Zwam, W., van der Lugt, A. & van Walsum, T., 1 Jan 2024, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 9th International Workshop, BrainLes 2023, and 3rd International Workshop, SWITCH 2023, Held in Conjunction with MICCAI 2023, Revised Selected Papers. Baid, U., Dorent, R., Malec, S., Pytlarz, M., Su, R., Wijethilake, N., Bakas, S. & Crimi, A. (eds.). Springer Verlag, Vol. 14668 LNCS. p. 144-153 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14668 LNCS).

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

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  • SynthBrainGrow: Synthetic Diffusion Brain Aging for Longitudinal MRI Data Generation in Young People

    Zapaishchykova, A., Kann, B. H., Tak, D., Ye, Z., Haas-Kogan, D. A. & Aerts, H. J. W. L., Oct 2024, (E-pub ahead of print) Deep Generative Models - 4th MICCAI Workshop, DGM4MICCAI 2024, Held in Conjunction with MICCAI 2024, Proceedings. Mukhopadhyay, A., Oksuz, I., Engelhardt, S., Mehrof, D. & Yuan, Y. (eds.). Springer Verlag, Vol. 15224 LNCS. p. 75-86 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 15224 LNCS).

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

  • The Detection and Segmentation of Blush in the Lenticulostriate Territory

    Schielen, S. J. C., Huynh, D. H., Wagemans, B. A. J. M., Ruijters, D., van Zwam, W. H. & Zinger, S., 1 Jan 2024, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 9th International Workshop, BrainLes 2023, and 3rd International Workshop, SWITCH 2023, Held in Conjunction with MICCAI 2023, Revised Selected Papers. Baid, U., Dorent, R., Malec, S., Pytlarz, M., Su, R., Wijethilake, N., Bakas, S. & Crimi, A. (eds.). Springer Verlag, Vol. 14668 LNCS. p. 134-143 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14668 LNCS).

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

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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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  • 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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  • 2021

    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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  • 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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  • 2018

    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

  • Evaluating Classifiers for Atherosclerotic Plaque Component Segmentation in MRI

    van Engelen, A., de Bruijne, M., Schneider, T., van Dijk, A. C., Kooi, M. E., Hendrikse, J., Nederveen, A., Niessen, W. J. & Botnar, R. M., 2017, MEDICAL IMAGE UNDERSTANDING AND ANALYSIS (MIUA 2017). Gonzalez-Castro, V. & Valdes Hernandez, M. (eds.). Springer International Publishing AG, Vol. 723. p. 156-168 13 p. (Communications in Computer and Information Science, Vol. 723).

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

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  • Integration of Electrical, Structural, and Anatomical imaging for the guidance of Cardiac Resynchronization Therapy

    Nguyen, U. C., Cluitmans, M. J. M., Mihl, C., Luermans, J. J. G., Kietselaer, B. L. J. H., Bekkers, S. C. A. M., Gommers, S., Volders, P. G. A., Prinzen, F. W. & Vernooy, K., 2017, 2017 COMPUTING IN CARDIOLOGY (CINC). IEEE Computer Society, Vol. 44. p. 1-4 4 p. (Computing in Cardiology Conference, Vol. 44).

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

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  • Quantitative Collateral Grading on CT Angiography in Patients with Acute Ischemic Stroke

    Boers, A. M. M., Barros, R. S., Jansen, I. G. H., Slump, C. H., Dippel, D. W. J., van der Lugt, A., van Zwam, W. H., Roos, Y. B. W. E. M., van Oostenbrugge, R. J., Majoie, C. B. L. M., Marquering, H. A. & MR CLEAN Investigators, 2017, MOLECULAR IMAGING, RECONSTRUCTION AND ANALYSIS OF MOVING BODY ORGANS, AND STROKE IMAGING AND TREATMENT. Cardoso, M. J. & Arbel, T. (eds.). Springer International Publishing AG, Vol. 10555. p. 176-184 9 p. (Lecture Notes in Computer Science, Vol. 10555).

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

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  • 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

  • The Effect of Non-contrast CT Slice Thickness on Thrombus Density and Perviousness Assessment

    Tolhuisen, M. L., Enthoven, J., Santos, E. M. M., Niessen, W. J., Beenen, L. F. M., Dippel, D. W. J., van der Lugt, A., van Zwam, W. H., Roos, Y. B. W. E. M., van Oostenbrugge, R. J., Majoie, C. B. L. M. & Marquering, H. A., 2017, MOLECULAR IMAGING, RECONSTRUCTION AND ANALYSIS OF MOVING BODY ORGANS, AND STROKE IMAGING AND TREATMENT. Cardoso, M. J. & Arbel, T. (eds.). 1 ed. Springer International Publishing AG, p. 168-175 8 p. (Lecture Notes in Computer Science, Vol. 10555).

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

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  • 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