Here we present some of our research lines and related papers.
Lab-on-chip & Organ-on-chip
- Comes, M.C., et al, Multi-scale generative adversarial network for improved evaluation of cell–cell interactions observed in organ-on-chip experiments, 2021, Neural Computing and Applications, 33, 8, 3671-3689.
- Nguyen, M., et al., Dissecting effects of anti-cancer drugs and cancer-associated fibroblasts by on-chip reconstitution of immunocompetent tumor microenvironments, 2018, Cell Reports, 25,13, 3884.
- Biselli, E., et al., Organs on chip approach: a tool to evaluate cancer-immune cells interactions, 2017, Scientific Reports, 7, 1, 12737.
- Paoli, R., et al., Rapid Manufacturing of Multilayered Microfluidic Devices for Organ on a Chip Applications, 2021, Sensors, 21, 4, 1382, 1, 13.
- Badiola-Mateos, M., et al., A novel multi-frequency trans-endothelial electrical resistance (MTEER) sensor array to monitor blood-brain barrier integrity, 2021, Sensors and Actuators, B: Chemical, 334, 129599
- Filippi J. et al., Exploiting spectral information in Opto-Electronic Tweezers for cell classification and drug response evaluation, Sensors and Actuators B: Chemical 368, 132200
Image Analysis for biomedical application
- Cascarano, P., et al., Recursive Deep Prior Video: A super resolution algorithm for time-lapse microscopy of organ-on-chip experiments, 2021, Medical Image Analysis, 72, 102124
- Giovannetti, A., et al., Deep-MEG: spatiotemporal CNN features and multiband ensemble classification for predicting the early signs of Alzheimer’s disease with magnetoencephalography, 2021, Neural Computing and Applications, 33 (21), pp. 14651-14667.
- Magna, G., et al., Identification of mammography anomalies for breast cancer detection by an ensemble of classification models based on artificial immune system, 2016, Knowledge-Based Systems,101, 60-70
- Mencattini A., et al., NeuriTES. Monitoring neurite changes through transfer entropy and semantic segmentation in bright-field time-lapse microscopy, 2021, Patterns, 2 (6), 100261
Development of Machine Learning and Pattern Recognition Algorithm
- Magna, G., Di Natale, C., Martinelli, E., Self-repairing classification algorithms for chemical sensor array, 2019, 297, 126721
- Mosciano, F., et al., An array of physical sensors and an adaptive regression strategy for emotion recognition in a noisy scenario, 2017, Sensors and Actuators, A: Physical, 267, 48-59
- Martinelli, E., et al, Strength is in numbers: can concordant artificial listeners improve prediction of emotion from speech?, 2016, PLoS ONE, 11, 8, e0161752
- Mencattini, A., et al., Continuous estimation of emotions in speech by dynamic cooperative speaker models,2017 , IEEE Transactions on Affective Computing, 8, 3, 7412670, 314, 327
- Martinelli, E., et al., Normalizing brain activity across individuals using functional reference mapping, 2017, Scientific Reports, 7, 1,17128
- D’Orazio et al., Machine learning phenomics (MLP) combining deep learning with time-lapse-microscopy for monitoring colorectal adenocarcinoma cells gene expression and drug-response, 2022, Scientific Reports 12 (1), 1-14
Electronic interfaces for chemical sensors
- Martinelli, E, et al., Self-adapted temperature modulation in metal-oxide semiconductor gas sensors, 2012, Sensors and Actuators, B: Chemical, 161,1, 534-541
- Lavra, L., et al, Investigation of VOCs associated with different characteristics of breast cancer cells, 2015, Scientific Reports, 5,13246
- Di Giuseppe, D., et a., Optimizing MOX sensor array performances with a reconfigurable self-adaptive temperature modulation interface, 2021, Sensors and Actuators, B: Chemical, 333, 129509
Bioinspired signal processing for chemical sensors
- Martinelli, E., et al., Stable odor recognition by a neuro-adaptive electronic nose, 2015, Scientific Reports, 5, 10960
- Martinelli, E., et al., An adaptive classification model based on the Artificial Immune System for chemical sensor drift mitigation, 2013, Sensors and Actuators, B: Chemical,177, 1017-1026
- Strauch, M., et al., More than apples and oranges-Detecting cancer with a fruit fly’s antenna, 2014, Scientific Reports, 4SREP03576