Louise Bloch, M.Sc.

A. G. Seco de Herrera, B. Ionescu, H. Müller, R. Péteri, A. Ben Abacha, C. M. Friedrich, J. Rückert, L. Bloch, R. Brüngel, A. Idrissi-Yaghir, H. Schäfer, S. Kozlovski, Y. Dicente Cid, V. Kovalev, J. Chamberlain, A. Clark, A. Campello, H. Schindler, J. Deshayes, A. Popescu, L.-D. Ştefan, M. G. Constantin, and M. Dogariu, “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, 2022, pp. 382–389.

L. Bloch and C. M. Friedrich, “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, 2021, pp. 87–99.

L. Bloch and C. M. Friedrich, “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, 2021, pp. 285–299.

L. Bloch, A. Boketta, C. Keibel, E. Mense, A. Michailutschenko, O. Pelka, J. Rückert, L. Willemeit, and C. M. Friedrich, “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, 2020, p. ohne Seitenangabe-ohne Seitenangabe.

B. Ionescu, H. Müller, A. M. Dragulinescu, A. Idrissi-Yaghir, A. Radzhabov, A. G. S. de Herrera, A. Andrei, A. Stan, A. M. Storås, A. B. Abacha, B. Lecouteux, B. Stein, C. Macaire, C. M. Friedrich, C. S. Schmidt, D. Schwab, E. Esperanca-Rodier, G. Ioannidis, G. Adams, H. Schäfer, H. Manguinhas, I. Coman, J. Schöler, J. Kiesel, J. Rückert, L. Bloch, M. Potthast, M. Heinrich, M. Yetisgen, M. A. Riegler, N. Snider, P. Halvorsen, R. Brüngel, S. A. Hicks, V. Thambawita, V. Kovalev, Y. Prokopchuk, and W.-W. Yim, “Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024,” in Advances in Information Retrieval, 2024, pp. 44–52.

L. Bloch, J. Rückert, and C. M. Friedrich, “PreprintResolver: Improving Citation Quality by Resolving Published Versions of ArXiv Preprints Using Literature Databases,” in Linking Theory and Practice of Digital Libraries, 2023, 1st ed., pp. 47–61.

J. Rückert, A. Ben Abacha, A. G. Seco de Herrera, L. Bloch, R. Brüngel, A. Idrissi-Yaghir, H. Schäfer, H. Müller, and C. M. Friedrich, “Overview of ImageCLEFmedical 2023 – Caption Prediction and Concept Detection,” in CLEF 2023 Working Notes, 2023, pp. 1328–1346 [Online]. Available: https://ceur-ws.org/Vol-3497/paper-108.pdf

B. Bracke, M. Bagherifar, L. Bloch, and C. M. Friedrich, “Joint Feature Learning of Image Data with Embedded Metadata to Leverage Snake Species Classification,” in CLEF 2023 Working Notes, 2023, pp. 2007–2034 [Online]. Available: https://ceur-ws.org/Vol-3497/paper-170.pdf

B. Ionescu, H. Müller, A. M. Dragulinescu, A. Popescu, A. Idrissi-Yaghir, A. García Seco de Herrera, A. Andrei, A. Stan, A. M. Storås, A. Ben Abacha, C. M. Friedrich, G. Ioannidis, G. Adams, H. Schäfer, H. Manguinhas, I. Filipovich, I. Coman, J. Deshayes, J. Schöler, J. Rückert, L.-D. Stefan, L. Bloch, M. Yetisgen, M. A. Riegler, M. Dogariu, M. G. Constantin, N. Snider, N. Papachrysos, P. Halvorsen, R. Brüngel, S. Kozlovski, S. Hicks, T. de Lange, V. Thambawita, V. Kovalev, and W.-W. Yim, “ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications,” in Advances in Information Retrieval, 2023, pp. 557–567.

B. Ionescu, H. Müller, A.-M. Dragulinescu, W.-W. Yim, A. Ben Abacha, N. Snider, G. Adams, M. Yetisgen, J. Rückert, A. García Seco de Herrera, C. M. Friedrich, L. Bloch, R. Brüngel, A. Idrissi-Yaghir, H. Schäfer, S. A. Hicks, M. A. Riegler, V. Thambawita, A. M. Storås, P. Halvorsen, N. Papachrysos, J. Schöler, D. Jha, A.-G. Andrei, I. Coman, V. Kovalev, A. Radzhabov, Y. Prokopchuk, L.-D. Stefan, M.-G. Constantin, M. Dogariu, J. Deshayes, and A. Popescu, “Overview of the ImageCLEF 2023,” in Experimental IR Meets Multilinguality, Multimodality, and Interaction: 14th International Conference of the CLEF Association, CLEF 2023, Thessaloniki, Greece, September 18–21, 2023, Proceedings, 2023, pp. 370–396 [Online]. Available: https://link.springer.com/chapter/10.1007/978-3-031-42448-9_25

M. Eisenmann, A. Reinke, V. Weru, M. D. Tizabi, F. Isensee, T. J. Adler, S. Ali, V. Andrearczyk, M. Aubreville, U. Baid, S. Bakas, N. Balu, S. Bano, J. Bernal, S. Bodenstedt, A. Casella, V. Cheplygina, M. Daum, M. De Bruijne, A. Depeursinge, R. Dorent, J. Egger, D. G. Ellis, S. Engelhardt, M. Ganz, N. Ghatwary, G. Girard, P. Godau, A. Gupta, L. Hansen, K. Harada, M. Heinrich, N. Heller, A. Hering, A. Huaulmé, P. Jannin, A. E. Kavur, O. Kodym, M. Kozubek, J. Li, H. Li, J. Ma, C. Martín-Isla, B. Menze, A. Noble, V. Oreiller, N. Padoy, S. Pati, K. Payette, T. Rädsch, J. Rafael-Patiño, V. S. Bawa, S. Speidel, C. H. Sudre, K. Van Wijnen, M. Wagner, D. Wei, A. Yamlahi, M. H. Yap, C. Yuan, M. Zenk, A. Zia, D. Zimmerer, D. Aydogan, B. Bhattarai, L. Bloch, R. Brüngel, J. Cho, C. Choi, Q. Dou, I. Ezhov, C. M. Friedrich, C. Fuller, R. R. Gaire, A. Galdran, Á. G. Faura, M. Grammatikopoulou, S. Hong, M. Jahanifar, I. Jang, A. Kadkhodamohammadi, I. Kang, F. Kofler, S. Kondo, H. Kuijf, M. Li, M. Luu, T. Martinčič, P. Morais, M. A. Naser, B. Oliveira, D. Owen, S. Pang, J. Park, S. Park, S. Płotka, E. Puybareau, N. Rajpoot, K. Ryu, N. Saeed, A. Shephard, P. Shi, D. Štepec, R. Subedi, G. Tochon, H. R. Torres, H. Urien, J. L. Vilaça, K. A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, B. Wiestler, M. Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, K. Maier-Hein, P. F. Jäger, A. Kopp-Schneider, and L. Maier-Hein, “Why is the Winner the Best?,” in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 19955–19966.

L. Bloch, R. Brüngel, and C. M. Friedrich, “Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers,” in Diabetic Foot Ulcers Grand Challenge - Second Challenge, DFUC 2021, Held in Conjunction with MICCAI 2021, 2022, pp. 30–49.

L. Bloch and C. M. Friedrich, “Comparison of Automated Volume Extraction with FreeSurfer and FastSurfer for Early Alzheimer’s Disease Detection with Machine Learning,” in 2021 IEEE 34th International Symposium on Computer-Based Medical Systems, 2021, pp. 113–118.

L. Bloch and C. M. Friedrich, “EfficientNets and Vision Transformers for Snake Species Identification Using Image and Location Information,” in Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, 2021, pp. 1477–1498.

L. Bloch and C. Friedrich, “Systematic comparison of 3D Deep learning and classical machine learning explanations for Alzheimer’s Disease detection,” Computers in Biology and Medicine, vol. 170, pp. 108029–108029, 2024.

J. Rückert, L. Bloch, R. Brüngel, A. Idrissi-Yaghir, H. Schäfer, C. S. Schmidt, S. Koitka, O. Pelka, A. B. Abacha, A. G. Seco de Herrera, H. Müller, P. A. Horn, F. Nensa, and C. M. Friedrich, “ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset,” Scientific Data, vol. 11, no. 1, pp. 688–688, 2024 [Online]. Available: https://www.nature.com/articles/s41597-024-03496-6

L. Bloch and C. M. Friedrich, “Data analysis with Shapley values for automatic subject selection in Alzheimer’s disease data sets using interpretable machine learning,” Alzheimer’s Research & Therapy, vol. 13, no. 1, 2021.

O. Pelka, C. M. Friedrich, F. Nensa, C. Mönninghoff, L. Bloch, K.-H. Jöckel, S. Schramm, S. Sanchez Hoffmann, A. Winkler, C. Weimar, and M. Jokisch, “Sociodemographic data and APOE-ɛ4 augmentation for MRI-based detection of amnestic mild cognitive impairment using deep learning systems,” PLOS ONE, vol. 2020, p. ohne Seitenangabe-ohne Seitenangabe, 2020.

C. Friedrich, A. Idrissi-Yaghir, H. Schäfer, R. Brüngel, J. Rückert, and L. Bloch, Organisation 7th ImageCLEFmedical - Caption task und Organisation des Tasks auf dem CLEF Labs Workshop. 2023 [Online]. Available: https://www.imageclef.org/2023/medical/caption/