Publications
Conference paper
- Ionescu, B., Müller, H., Dragulinescu, A.M., Popescu, A., Idrissi-Yaghir, A., García Seco de Herrera, A., Andrei, A., Stan, A., Storås, A.M., Ben Abacha, A., Friedrich, C.M., Ioannidis, G., Adams, G., Schäfer, H., Manguinhas, H., Filipovich, I., Coman, I., Deshayes, J., Schöler, J., Rückert, J., Stefan, L.-D., Bloch, L., Yetisgen, M., Riegler, M.A., Dogariu, M., Constantin, M.G., Snider, N., Papachrysos, N., Halvorsen, P., Brüngel, R., Kozlovski, S., Hicks, S., de Lange, T., Thambawita, V., Kovalev, V. and Yim, W.-W., 2023. ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. Advances in Information Retrieval, .
- Bloch, L., Rückert, J. and Friedrich, C.M., 2023. PreprintResolver: Improving Citation Quality by Resolving Published Versions of ArXiv Preprints Using Literature Databases. 1st ed. Lecture Notes in Computer Science. Linking Theory and Practice of Digital Libraries, .
- Rückert, J., Ben Abacha, A., G. Seco de Herrera, A., Bloch, L., Brüngel, R., Idrissi-Yaghir, A., Schäfer, H., Müller, H. and Friedrich, C.M., 2023. Overview of ImageCLEFmedical 2023 – Caption Prediction and Concept Detection. CLEF 2023 Working Notes, Available at: <https://ceur-ws.org/Vol-3497/paper-108.pdf>.
- Ionescu, B., Müller, H., Dragulinescu, A.-M., Yim, W.-W., Ben Abacha, A., Snider, N., Adams, G., Yetisgen, M., Rückert, J., García Seco de Herrera, A., Friedrich, C.M., Bloch, L., Brüngel, R., Idrissi-Yaghir, A., Schäfer, H., Hicks, S.A., Riegler, M.A., Thambawita, V., Storås, A.M., Halvorsen, P., Papachrysos, N., Schöler, J., Jha, D., Andrei, A.-G., Coman, I., Kovalev, V., Radzhabov, A., Prokopchuk, Y., Stefan, L.-D., Constantin, M.-G., Dogariu, M., Deshayes, J. and Popescu, A., 2023. Overview of the ImageCLEF 2023. Experimental IR Meets Multilinguality, Multimodality, and Interaction: 14th International Conference of the CLEF Association, CLEF 2023, Thessaloniki, Greece, September 18–21, 2023, Proceedings, Available at: <https://link.springer.com/chapter/10.1007/978-3-031-42448-9_25>.
- Eisenmann, M., Reinke, A., Weru, V., Tizabi, M.D., Isensee, F., Adler, T.J., Ali, S., Andrearczyk, V., Aubreville, M., Baid, U., Bakas, S., Balu, N., Bano, S., Bernal, J., Bodenstedt, S., Casella, A., Cheplygina, V., Daum, M., De Bruijne, M., Depeursinge, A., Dorent, R., Egger, J., Ellis, D.G., Engelhardt, S., Ganz, M., Ghatwary, N., Girard, G., Godau, P., Gupta, A., Hansen, L., Harada, K., Heinrich, M., Heller, N., Hering, A., Huaulmé, A., Jannin, P., Kavur, A.E., Kodym, O., Kozubek, M., Li, J., Li, H., Ma, J., Martín-Isla, C., Menze, B., Noble, A., Oreiller, V., Padoy, N., Pati, S., Payette, K., Rädsch, T., Rafael-Patiño, J., Bawa, V.S., Speidel, S., Sudre, C.H., Van Wijnen, K., Wagner, M., Wei, D., Yamlahi, A., Yap, M.H., Yuan, C., Zenk, M., Zia, A., Zimmerer, D., Aydogan, D., Bhattarai, B., Bloch, L., Brüngel, R., Cho, J., Choi, C., Dou, Q., Ezhov, I., Friedrich, C.M., Fuller, C., Gaire, R.R., Galdran, A., Faura, Á. G., Grammatikopoulou, M., Hong, S., Jahanifar, M., Jang, I., Kadkhodamohammadi, A., Kang, I., Kofler, F., Kondo, S., Kuijf, H., Li, M., Luu, M., Martinčič, T., Morais, P., Naser, M.A., Oliveira, B., Owen, D., Pang, S., Park, J., Park, S., Płotka, S., Puybareau, E., Rajpoot, N., Ryu, K., Saeed, N., Shephard, A., Shi, P., Štepec, D., Subedi, R., Tochon, G., Torres, H.R., Urien, H., Vilaça, J.L., Wahid, K.A., Wang, H., Wang, J., Wang, L., Wang, X., Wiestler, B., Wodzinski, M., Xia, F., Xie, J., Xiong, Z., Yang, S., Yang, Y., Zhao, Z., Maier-Hein, K., Jäger, P.F., Kopp-Schneider, A. and Maier-Hein, L., 2023. Why is the Winner the Best? 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), .
- Bracke, B., Bagherifar, M., Bloch, L. and Friedrich, C.M., 2023. Joint Feature Learning of Image Data with Embedded Metadata to Leverage Snake Species Classification. CLEF 2023 Working Notes, Available at: <https://ceur-ws.org/Vol-3497/paper-170.pdf>.
- Bloch, L., Brüngel, R. and Friedrich, C.M., 2022. Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers. Diabetic Foot Ulcers Grand Challenge - Second Challenge, DFUC 2021, Held in Conjunction with MICCAI 2021, .
- Bloch, L. and Friedrich, C.M., 2021. Comparison of Automated Volume Extraction with FreeSurfer and FastSurfer for Early Alzheimer’s Disease Detection with Machine Learning. 2021 IEEE 34th International Symposium on Computer-Based Medical Systems, .
- Bloch, L. and Friedrich, C.M., 2021. EfficientNets and Vision Transformers for Snake Species Identification Using Image and Location Information. Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, .
Anthology contribution
- Seco de Herrera, A.G., Ionescu, B., Müller, H., Péteri, R., Ben Abacha, A., Friedrich, C.M., Rückert, J., Bloch, L., Brüngel, R., Idrissi-Yaghir, A., Schäfer, H., Kozlovski, S., Dicente Cid, Y., Kovalev, V., Chamberlain, J., Clark, A., Campello, A., Schindler, H., Deshayes, J., Popescu, A., Ştefan, L.-D., Constantin, M.G. and Dogariu, M., 2022. ImageCLEF 2022: multimedia retrieval in medical, nature, fusion and internet applications. In: Advances in Information Retrieval: 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part II. Cham: Springer International Publishing, pp.382–389.
- Bloch, L. and Friedrich, C.M., 2021. Developing a machine learning workflow to explain black-box models for Alzheimer’s disease classification. In: BIOSTEC 2021 : proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies : online streaming, February 11-13, 2021. Sétubal: SCITEPRESS - Science and Technology Publications, pp.87–99.
- Bloch, L. and Friedrich, C.M., 2021. Using Bayesian optimization to effectively tune random forest and XGBoost hyperparameters for early Alzheimer’s disease diagnosis. In: Wireless Mobile Communication and Healthcare : 9th EAI International Conference, MobiHealth 2020, Virtual Event, November 19, 2020, Proceedings. Cham: Springer International Publishing, pp.285–299.
- Bloch, L., Boketta, A., Keibel, C., Mense, E., Michailutschenko, A., Pelka, O., Rückert, J., Willemeit, L. and Friedrich, C.M., 2020. Combination of image and location information for snake species identification using object detection and EfficientNets. In: CLEF 2020: CLEF 2020 working notes : working notes of CLEF 2020 - Conference and Labs of the Evaluation Forum : Thessaloniki, Greece, September 22-25, 202. Aachen: RWTH Aachen, p.ohne Seitenangabe.
Journal article
- Bloch, L. and Friedrich, C.M., 2021. Data analysis with Shapley values for automatic subject selection in Alzheimer’s disease data sets using interpretable machine learning. Alzheimer’s Research & Therapy, 13(1), p.
- Pelka, O., Friedrich, C.M., Nensa, F., Mönninghoff, C., Bloch, L., Jöckel, K.-H., Schramm, S., Sanchez Hoffmann, S., Winkler, A., Weimar, C. and Jokisch, M., 2020. Sociodemographic data and APOE-ɛ4 augmentation for MRI-based detection of amnestic mild cognitive impairment using deep learning systems. PLOS ONE, 2020, p.ohne Seitenangabe.