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Daniele Perlo

Doctor, PhD

    • rue Thomas Edison, 1

      1445 Luxembourg

      Luxembourg

    • 74
      Citations
    20132024

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    • 2024

      Addressing Artefacts in Anatomical MR Images: A k-space-Based Approach

      Boudissa, S., Kanli, G., Perlo, D., Jaquet, T. & Keunen, O., May 2024, IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings. IEEE Computer Society, 5 p. (Proceedings - International Symposium on Biomedical Imaging).

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

      1 Citation (Scopus)
    • Simultaneous Image Quality Improvement and Artefacts Correction in Accelerated MRI

      Kanli, G., Perlo, D., Boudissa, S., Jiřík, R. & Keunen, O., 23 Oct 2024, Machine Learning in Medical Imaging - 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Proceedings. Xu, X., Cui, Z., Sun, K., Rekik, I. & Ouyang, X. (eds.). Springer Science and Business Media Deutschland GmbH, p. 228-237 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15241 LNCS).

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

      1 Citation (Scopus)
    • 2022

      Dysplasia Grading of Colorectal Polyps Through Convolutional Neural Network Analysis of Whole Slide Images

      Perlo, D., Tartaglione, E., Bertero, L., Cassoni, P. & Grangetto, M., 2022, Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis, MICAD 2021 - Medical Imaging and Computer-Aided Diagnosis. Su, R., Zhang, Y.-D. & Liu, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 325-334 10 p. (Lecture Notes in Electrical Engineering; vol. 784 LNEE).

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

      5 Citations (Scopus)
    • Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification

      Perlo, D., Berton, L., Delpiano, A., Menchini, F., Tibaldi, S., Grosso, M. & Fonio, P., 2022, Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. Tsumoto, S., Ohsawa, Y., Chen, L., Van den Poel, D., Hu, X., Motomura, Y., Takagi, T., Wu, L., Xie, Y., Abe, A. & Raghavan, V. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 4425-4433 9 p. (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022).

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

    • Lung Nodules Segmentation with DeepHealth Toolkit

      Chaudhry, H. A. H., Renzulli, R., Perlo, D., Santinelli, F., Tibaldi, S., Cristiano, C., Grosso, M., Fiandrotti, A., Lucenteforte, M. & Cavagnino, D., 2022, Image Analysis and Processing. ICIAP 2022 Workshops - ICIAP International Workshops, Revised Selected Papers. Mazzeo, P. L., Distante, C., Frontoni, E. & Sclaroff, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 487-497 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13373 LNCS).

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

      1 Citation (Scopus)
    • UniToBrain Dataset: A Brain Perfusion Dataset

      Perlo, D., Tartaglione, E., Gava, U., D’Agata, F., Benninck, E. & Bergui, M., 2022, Image Analysis and Processing. ICIAP 2022 Workshops - ICIAP International Workshops, Revised Selected Papers. Mazzeo, P. L., Distante, C., Frontoni, E. & Sclaroff, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 498-509 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13373 LNCS).

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

      2 Citations (Scopus)
    • UniToChest: A Lung Image Dataset for Segmentation of Cancerous Nodules on CT Scans

      Chaudhry, H. A. H., Renzulli, R., Perlo, D., Santinelli, F., Tibaldi, S., Cristiano, C., Grosso, M., Limerutti, G., Fiandrotti, A., Grangetto, M. & Fonio, P., 2022, Image Analysis and Processing – ICIAP 2022 - 21st International Conference, 2022, Proceedings. Sclaroff, S., Distante, C., Leo, M., Farinella, G. M. & Tombari, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 185-196 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13231 LNCS).

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

      11 Citations (Scopus)
    • 2021

      UNITOPATHO, A LABELED HISTOPATHOLOGICAL DATASET FOR COLORECTAL POLYPS CLASSIFICATION AND ADENOMA DYSPLASIA GRADING

      Barbano, C. A., Perlo, D., Tartaglione, E., Fiandrotti, A., Bertero, L., Cassoni, P. & Grangetto, M., 2021, 2021 IEEE International Conference on Image Processing, ICIP 2021 - Proceedings. IEEE Computer Society, p. 76-80 5 p. (Proceedings - International Conference on Image Processing, ICIP; vol. 2021-September).

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

      Open Access
      34 Citations (Scopus)
    • 2019

      Post-synaptic Potential Regularization Has Potential

      Tartaglione, E., Perlo, D. & Grangetto, M., 2019, Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning - 28th International Conference on Artificial Neural Networks, Proceedings. Tetko, I. V., Karpov, P., Theis, F. & Kurková, V. (eds.). Springer Verlag, p. 187-200 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11728 LNCS).

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

      4 Citations (Scopus)
    • 2014

      Virtual Reality Interface for Multidisciplinary Physical Analysis of Space Vehicles

      Soccini, A. M., Marello, M., Balossino, N., Bar, C., Basso, V., Lucenteforte, M., Perlo, D., Racca, F. & Rocci, L., 2014, 11th Conference and Exhibition of the European Association of Virtual Reality and Augmented Reality, EuroVR 2014. Perret, J., Basso, V., Ferrise, F., Helin, K., Lepetit, V., Ritchie, J., Runde, C., van der Voort, M. & Zachmann, G. (eds.). The Eurographics Association, p. 1-6 6 p. (11th Conference and Exhibition of the European Association of Virtual Reality and Augmented Reality, EuroVR 2014).

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

      1 Citation (Scopus)
    • 2013

      Modificatory provisions detection: A hybrid NLP approach

      Gianfelice, D., Lesmo, L., Palmirani, M., Perlo, D. & Radicioni, D. P., 2013, Proceedings of the 14th International Conference on Artificial Intelligence and Law, ICAIL 2013. p. 43-52 10 p. (Proceedings of the International Conference on Artificial Intelligence and Law).

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

      11 Citations (Scopus)
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