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  • 2024

    Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning

    Fischer, M., Neher, P., Schüffler, P., Xiao, S., Almeida, S. D., Ulrich, C., Muckenhuber, A., Braren, R., Götz, M., Kleesiek, J., Nolden, M. & Maier-Hein, K., 2024, Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Proceedings. Cao, X., Ouyang, X., Xu, X., Rekik, I. & Cui, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 427-436 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14349 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2023

    Abstract: Deep-learning on Lossily Compressed Pathology Images Adverse Effects for ImageNet Pre-trained Models

    Fischer, M., Neher, P., Götz, M., Xiao, S., Almeida, S. D., Schüffler, P., Muckenhuber, A., Braren, R., Kleesiek, J., Nolden, M. & Maier-Hein, K., 2023, Bildverarbeitung für die Medizin 2023 Proceedings, German Workshop on Medical Image Computing, Braunschweig. Deserno, T. M., Handels, H., Maier, A., Maier-Hein, K., Palm, C. & Tolxdorff, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 245 1 p. (Informatik aktuell).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • DISBELIEVE: Distance Between Client Models Is Very Essential for Effective Local Model Poisoning Attacks

    Joshi, I., Upadhya, P., Nayak, G. K., Schüffler, P. & Navab, N., 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 Science and Business Media Deutschland GmbH, p. 297-310 14 p. (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 proceedingConference contributionpeer-review

    Open Access
  • Multimodal Context-Aware Detection of Glioma Biomarkers Using MRI and WSI

    Albuquerque, T., Fang, M. L., Wiestler, B., Delbridge, C., Vasconcelos, M. J. M., Cardoso, J. S. & Schüffler, P., 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Proceedings. Woo, J., Hering, A., Silva, W., Li, X., Fu, H., Liu, X., Xing, F., Purushotham, S., Mathai, T. S., Mukherjee, P., De Grauw, M., Beets Tan, R., Corbetta, V., Kotter, E., Reyes, M., Baumgartner, C. F., Li, Q., Leahy, R., Dong, B., Chen, H., Huo, Y., Lv, J., Xu, X., Li, X., Mahapatra, D., Cheng, L., Petitjean, C. & Presles, B. (eds.). Springer Science and Business Media Deutschland GmbH, p. 157-167 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14394 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis

    Shkëmbi, G., Müller, J. P., Li, Z., Breininger, K., Schüffler, P. & Kainz, B., 2023, Data Engineering in Medical Imaging - 1st MICCAI Workshop, DEMI 2023, Held in Conjunction with MICCAI 2023, Proceedings. Bhattarai, B., Ali, S., Rau, A., Nguyen, A., Namburete, A., Caramalau, R. & Stoyanov, D. (eds.). Springer Science and Business Media Deutschland GmbH, p. 11-20 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14314 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2022

    Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models

    Fischer, M., Neher, P., Götz, M., Xiao, S., Almeida, S. D., Schüffler, P., Muckenhuber, A., Braren, R., Kleesiek, J., Nolden, M. & Maier-Hein, K., 2022, Medical Optical Imaging and Virtual Microscopy Image Analysis - 1st International Workshop, MOVI 2022, Held in Conjunction with MICCAI 2022, Proceedings. Huo, Y., Millis, B. A., Zhou, Y., Wang, X., Harrison, A. P. & Xu, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 73-83 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13578 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform

    Fischer, M., Schader, P., Braren, R., Götz, M., Muckenhuber, A., Weichert, W., Schüffler, P., Kleesiek, J., Scherer, J., Kades, K., Maier-Hein, K. & Nolden, M., 2022, Bildverarbeitung für die Medizin 2022 - Proceedings, German Workshop on Medical Image Computing. Maier-Hein, K., Deserno, T. M., Handels, H., Maier, A., Palm, C. & Tolxdorff, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 273-278 6 p. (Informatik aktuell).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • Quantifying Heterogeneity in Tumors: Proposing a New Method Utilizing Convolutional Neuronal Networks

    Prokop, G., Örtl, M., Fotteler, M., Schüffler, P., Schobel, J., Swoboda, W., Schlegel, J. & Liesche-Starnecker, F., 2022, Informatics and Technology in Clinical Care and Public Health. Mantas, J., Hasman, A., Househ, M. S., Gallos, P., Zoulias, E. & Liasko, J. (eds.). IOS Press BV, p. 397-400 4 p. (Studies in Health Technology and Informatics; vol. 289).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    2 Scopus citations
  • 2020

    Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment

    Ho, D. J., Agaram, N. P., Schüffler, P. J., Vanderbilt, C. M., Jean, M. H., Hameed, M. R. & Fuchs, T. J., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 540-549 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12265 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    22 Scopus citations
  • 2017

    DeepScope: Nonintrusive whole slide saliency annotation and prediction from pathologists at the microscope

    Schaumberg, A. J., Joseph Sirintrapun, S., Al-Ahmadie, H. A., Schüffler, P. J. & Fuchs, T. J., 2017, Computational Intelligence Methods for Bioinformatics and Biostatistics - 13th International Meeting, CIBB 2016, Revised Selected Papers. Caravagna, G., Tagliaferri, R., Gilbert, D. & Bracciali, A. (eds.). Springer Verlag, p. 42-58 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10477 LNBI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    6 Scopus citations
  • MRI-based surgical planning for lumbar spinal stenosis

    Abbati, G., Bauer, S., Winklhofer, S., Schüffler, P. J., Held, U., Burgstaller, J. M., Steurer, J. & Buhmann, J. M., 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Maier-Hein, L., Franz, A., Jannin, P., Duchesne, S., Descoteaux, M. & Collins, D. L. (eds.). Springer Verlag, p. 116-124 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10435 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    1 Scopus citations
  • 2015

    Crohn's disease segmentation from MRI using learned image priors

    Mahapatra, D., Schuffler, P., Vos, F. & Buhmann, J. M., 21 Jul 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. IEEE Computer Society, p. 625-628 4 p. 7163951. (Proceedings - International Symposium on Biomedical Imaging; vol. 2015-July).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • 2014

    Active learning based segmentation of Crohn's disease using principles of visual saliency

    Mahapatra, D., Schüffler, P. J., Tielbeek, J. A. W., Makanyanga, J. C., Stoker, J., Taylor, S. A., Vos, F. M. & Buhmann, J. M., 29 Jul 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., p. 226-229 4 p. 6867850. (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    11 Scopus citations
  • Combining multiple expert annotations using semi-supervised learning and graph cuts for Crohn’s disease segmentation

    Mahapatra, D., Schüffler, P. J., Tielbeek, J. A. W., Puylaert, C. A. J., Makanyanga, J. C., Menys, A., Andriantsimiavona, R., Stoker, J., Taylor, S. A., Vos, F. M. & Buhmann, J. M., 2014, Abdominal Imaging: Computational and Clinical Applications - 6th International Workshop, ABDI 2014 held in conjunction with MICCAI 2014. Yoshida, H., Näppi, J. J. & Saini, S. (eds.). Springer Verlag, p. 139-147 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8676).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • Semi-automatic Crohn’s disease severity estimation on MR imaging

    Schüffler, P. J., Mahapatra, D., Naziroglu, R., Li, Z., Puylaert, C. A. J., Andriantsimiavona, R., Vos, F. M., Pendsé, D. A., Yung Nio, C., Stoker, J., Taylor, S. A. & Buhmann, J. M., 2014, Abdominal Imaging: Computational and Clinical Applications - 6th International Workshop, ABDI 2014 held in conjunction with MICCAI 2014. Yoshida, H., Näppi, J. J. & Saini, S. (eds.). Springer Verlag, p. 128-138 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8676).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • 2013

    A model development pipeline for Crohn's disease severity assessment from magnetic resonance images

    Schüffler, P. J., Mahapatra, D., Tielbeek, J. A. W., Vos, F. M., Makanyanga, J., Pendsé, D. A., Nio, C. Y., Stoker, J., Taylor, S. A. & Buhmann, J. M., 2013, Abdominal Imaging: Computation and Clinical Applications - 5th International Workshop, Held in Conjunction with MICCAI 2013, Proceedings. p. 1-10 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8198 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    6 Scopus citations
  • Crohn's disease tissue segmentation from abdominal MRI using semantic information and graph cuts

    Mahapatra, D., Schuffler, P. J., Tielbeek, J. A. W., Vos, F. M. & Buhmann, J. M., 2013, ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro. p. 358-361 4 p. 6556486. (Proceedings - International Symposium on Biomedical Imaging).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    8 Scopus citations
  • Localizing and segmenting crohn's disease affected regions in abdominal MRI using novel context features

    Mahapatra, D., Schüffler, P. J., Tielbeek, J. A. W., Vos, F. M. & Buhmann, J. M., 2013, Medical Imaging 2013: Image Processing. 86693K. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 8669).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    6 Scopus citations
  • Semi-supervised and active learning for automatic segmentation of Crohn's disease

    Mahapatra, D., Schüffler, P. J., Tielbeek, J. A. W., Vos, F. M. & Buhmann, J. M., 2013, Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 2 ed. p. 214-221 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8150 LNCS, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    27 Scopus citations
  • Weakly supervised semantic segmentation of Crohn's disease tissues from abdominal MRI

    Mahapatra, D., Vezhnevets, A., Schuffler, P. J., Tielbeek, J. A. W., Vos, F. M. & Buhmann, J. M., 2013, ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro. p. 844-847 4 p. 6556607. (Proceedings - International Symposium on Biomedical Imaging).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    5 Scopus citations
  • 2011

    A multiple kernel learning algorithm for cell nucleus classification of renal cell carcinoma

    Schüffler, P., Ulaş, A., Castellani, U. & Murino, V., 2011, Image Analysis and Processing, ICIAP 2011 - 16th International Conference, Proceedings. PART 1 ed. p. 413-422 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6978 LNCS, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    1 Scopus citations
  • Combining data sources nonlinearly for cell nucleus classification of renal cell carcinoma

    Gönen, M., Ulaş, A., Schüffler, P., Castellani, U. & Murino, V., 2011, Similarity-Based Pattern Recognition - First International Workshop, SIMBAD 2011, Proceedings. p. 250-260 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7005 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • Hybrid generative-discriminative nucleus classification of renal cell carcinoma

    Ulaş, A., Schüffler, P. J., Bicego, M., Castellani, U. & Murino, V., 2011, Similarity-Based Pattern Recognition - First International Workshop, SIMBAD 2011, Proceedings. p. 77-89 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7005 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • Renal cancer cell classification using generative embeddings and information theoretic kernels

    Bicego, M., Ulaş, A., Schüffler, P., Castellani, U., Murino, V., Martins, A., Aguiar, P. & Figueiredo, M., 2011, Pattern Recognition in Bioinformatics - 6th IAPR International Conference, PRIB 2011, Proceedings. p. 75-86 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7036 LNBI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • 2010

    Computational TMA analysis and cell nucleus classification of renal cell carcinoma

    Schüffler, P. J., Fuchs, T. J., Ong, C. S., Roth, V. & Buhmann, J. M., 2010, Pattern Recognition - 32nd DAGM Symposium, Proceedings. p. 202-211 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6376 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    15 Scopus citations