Publications

In inverse chronological order:

  1. Touboul, A., Zouari, F., Minciullo, L., Modak, D., Lee, R. M., Wong, E. C., ... & Chan, R. W. (2022, July). Unmixing multi-spectral electrical impedance tomography (EIT) predicts clinical-standard controlled attenuation parameter (CAP) for nonalcoholic fatty liver disease classification: a feasibility study. In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 576-579). IEEE.

  2. Wang P., Manhardt F. , Minciullo, L., Garattoni L., Meier SD , .... & Navab N . (2021) DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration, IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021

  3. Minciullo, L., Manhardt, F., Yoshikawa, K., Meier, S., Tombari, F., & Kobori, N. (2021). DB-GAN: Boosting Object Recognition Under Strong Lighting Conditions. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 2939-2949).

  4. Yang, D., Dai, R., Wang, Y., Mallick, R., Minciullo, L., Francesca, G., & Bremond, F. (2021). Selective Spatio-Temporal Aggregation Based Pose Refinement System: Towards Understanding Human Activities in Real-World Videos. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 2363-2372).

  5. Dai, R., Das, S., Minciullo, L., Garattoni, L., Francesca, G., & Bremond, F. (2021). PDAN: Pyramid Dilated Attention Network for Action Detection. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 2970-2979).

  6. Manhardt, F., Wang, G., Busam, B., Nickel, M., Meier, S., Minciullo, L., ... & Navab, N. (2020). CPS++: Improving Class-level 6D Pose and Shape Estimation From Monocular Images With Self-Supervised Learning. arXiv e-prints, arXiv-2003.

  7. Dai, R., Das, S., Sharma, S., Minciullo, L., Garattoni, L., Bremond, F., & Francesca, G. (2020). Toyota Smarthome Untrimmed: Real-World Untrimmed Videos for Activity Detection. arXiv preprint arXiv:2010.14982.

  8. Das, S., Dai, R., Koperski, M., Minciullo, L., Garattoni, L., Bremond, F., & Francesca, G. (2019). Toyota smarthome: Real-world activities of daily living. In Proceedings of the IEEE International Conference on Computer Vision (pp. 833-842).

  9. Dai, R., Minciullo, L., Garattoni, L., Francesca, G., & Bremond, F. (2019, September). Self-Attention Temporal Convolutional Network for Long-Term Daily Living Activity Detection. In 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) (pp. 1-7). IEEE.

  10. Minciullo, L. (2019). Machine Learning Applied to the Study of Knee Osteoarthritis and Associated Pain (Doctoral dissertation, University of Manchester).

  11. Minciullo, L., Parkes, M. J., Felson, D. T., & Cootes, T. F. (2018). Comparing image analysis approaches versus expert readers: the relation of knee radiograph features to knee pain. Annals of the rheumatic diseases, 77(11), 1606-1609.

  12. Minciullo, L., Bromiley, P. A., Felson, D. T., & Cootes, T. F. (2017, September). Indecisive trees for classification and prediction of knee osteoarthritis. In International Workshop on Machine Learning in Medical Imaging (pp. 283-290). Springer, Cham.

  13. Minciullo, L., Thomson, J., & Cootes, T. F. (2017, March). Combination of lateral and PA view radiographs to study development of knee OA and associated pain. In Medical Imaging 2017: Computer-Aided Diagnosis (Vol. 10134, p. 1013411). International Society for Optics and Photonics.

  14. Minciullo, L., & Cootes, T. (2016, December). Fully automated shape analysis for detection of Osteoarthritis from lateral knee radiographs. In 2016 23rd International Conference on Pattern Recognition (ICPR) (pp. 3787-3791). IEEE.