Most current list on Google Scholar.

Journal Articles

2024

• K Abdilleh, O Khalid, D Ladnier, W Wan, S Seepo, G Rupp, V Corelj, ZF Worman, D Sain, J DiGiovanna, B Press, S Chandrashekhar, E Collisson, KY Cui, A Maitra, PA Rejto, KP White, L Matrisian, S Doss. “Pancreatic Cancer Action Network’s SPARK: A Cloud-Based Patient Health Data and Analytics Platform for Pancreatic Cancer” JCO Clinical Cancer Informatics 8, 2024

2023

• S Ahalt, P Avillach, R Boyles, K Bradford, S Cox, B Davis-Dusenbery, RL Grossman, A Krishnamurthy, A Manning, B Paten, A Philippakis, I Borecki, SH Chen, J Kaltman, S Ladwa, C Schwartz, A Thomson, S Davis, A Leaf, J Lyons, E Sheets, JC Bis, M Conomos, A Culotti, T Desain, J DiGiovanna, M Domazet, S Gogarten, A Gutierrez-Sacristan, T Harris, B Heavner, D Jain, B O’Connor, K Osborn, D Pillion, J Pleiness, K Rice, G Rupp, A Serret-Larmande, A Smith, J P Stedman, A Stilp, T Barsanti, J Cheadle, C Erdmann, B Farlow, A Gartland-Gray, J Hayes, H Hiles, P Kerr, C Lenhardt, T Madden, JO Mieczkowska, A Miller, P Patton, M Rathbun, S Suber, J Asare. “Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research” Journal of the American Medical Informatics Association 30, 2023
• LD Hughes, G Tsueng, J DiGiovanna, TD Horvath, LV Rasmussen, TC Savidge, T Stoeger, S Turkarslan, Q Wu, C Wu, AI Su, L Pache, and the NIAID Systems Biology Data Dissemination Working Group “Addressing barriers in FAIR data practices for biomedical data” Scientific Data 10, 2023 
• S Ahalt, P Avillach, R Boyles, K Bradford, S Cox, B Davis-Dusenbery, RL Grossman, A Krishnamurthy, A Manning, B Paten, A Philippakis, I Borecki, SH Chen, J Kaltman, S Ladwa, C Schwartz, A Thomson, S Davis, A Leaf, J Lyons, E Sheets, JC Bis, M Conomos, A Culotti, T Desain, J Digiovanna, et al. “Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research” J Am Med Inform Assoc 30, 7, 2023

2021

• M Bonizzato, ND James, G Pidpruzhnykova, N Pavlova, P Shkorbatova, L Baud, C Martinez-Gonzalez, JW Squair, J DiGiovanna, Q Barraud, S Micera & G Courtine “Multi-pronged neuromodulation intervention engages the residual motor circuitry to facilitate walking in a rat model of spinal cord injury” Nature Communications 12, 1925, 2021.
• AR Kerlavage, AC Kirchhoff, JM Guidry Auvil, NE Sharpless, KL Davis, K Reilly, G Reaman, L Penberthy, D Deapen, A Hwang, EB Durbin, SL Gallotto, R Aplenc, SL Volchenboum, AP Heath, BJ Aronow, J Zhang, O Vaske, TA Alonzo, PC Nathan, JN Poynter, G Armstrong, EE Hahn, KJ Wernli, C Greene, J DiGiovanna, AC Resnick, ER Shalley, S Nadaf, WA Kibbe “Cancer informatics for cancer centers: Scientific drivers for informatics, data science, and care in pediatric, adolescent, and young adult cancer” JCO Clinical Cancer Informatics 5: 881-896, 2021

2020

• JS Barnholtz-Sloan, DE Rollison, A Basu, AD Borowsky, A Bui, J DiGiovanna, M Garcia-Closas, JM Genkinger, T Gerke, M Induni, JV Lacey Jr, L Mirel, JB Permuth, J Saltz, EA Shenkman, CM Ulrich, WJ Zheng, S Nadaf, and WA Kibbe “Cancer Informatics for Cancer Centers (CI4CC): Building a Community Focused on Sharing Ideas and Best Practices to Improve Cancer Care and Patient Outcomes” JCO Clinical Cancer Informatics 4, 108-116, 2020

2018

• M Bonizzato, G Pidpruzhnykova, J DiGiovanna, et al. “Brain-controlled modulation of spinal circuits improves recovery from spinal cord injury” Nat Commun 9, 3015, 2018. 
• E Martin Moraud, J von Zitzewitz, J Miehlbradt, S Wurth, E Formento, J DiGiovanna, M Capogrosso, G Courtine and S Micera. “Closed-loop control of trunk posture improves locomotion through the regulation of leg proprioceptive feedback after spinal cord injury” Scientific Reports 8, 76, 2018

2017

• JW Lau, E Lehnert, A Sethi, R Malhotra, G Kaushik, Z Onder, N Groves-Kirkby, A Mihajlovic, J DiGiovanna, M Srdic, D Bajcic, J Radenkovic, V Mladenovic, D Krstanovic, V Arsenijevic, D Klisic, M Mitrovic, I Bogicevic, D Kural and B Davis-Dusenbery; for The Seven Bridges CGC Team, “The Cancer Genomics Cloud: Collaborative, Reproducible, and Democratized—A New Paradigm in Large-Scale Computational Research” Cancer Res; 77(21); e3–6, 2017

2016

• J DiGiovanna, N Dominici, L Friedli, J Rigosa, S Duis, J Kreider, J Beauparlant, R van den Brand, M Schieppati, S Micera and G Courtine. “Engagement of the Rat Hindlimb Motor Cortex across Natural Locomotor Behaviors” J Neuroscience 36 (40), 10440-10455, 2016
• TAK Nguyen, J DiGiovanna, S Cavuscens, M Ranieri, N Guinand, R van de Berg, J Carpaneto, H Kingma , JP Guyot, S Micera, AP Fornos. “Characterization of pulse amplitude and pulse rate modulation for a human vestibular implant during acute electrical stimulation” J Neural Engineering 13 (4), 046023 2, 2016
• EM Moraud, M Capogrosso, E Formento, N Wenger, J DiGiovanna, G Courtine, and S Micera. “Mechanisms underlying the neuromodulation of spinal circuits for correcting gait and balance deficits after spinal cord injury” Neuron, Volume 89, Issue 4, 814 – 828, 2016
• N Wenger, E Martin Moraud, J Gandar, P Musienko, M Capogrosso, L Baud, CG Le Goff, Q Barraud, N Pavlova, N Dominici, IR Minev, L Asboth, A Hirsch, S Duis, J Kreider, A Mortera, O Haverbeck, S Kraus, F Schmitz, J DiGiovanna, R van den Brand, J Bloch, P Detemple, SP Lacour, E Bézard, S Micera, and G Courtine. “Spatiotemporal neuromodulation therapies engaging muscle synergies improve motor control after spinal cord injury” Nature medicine, 2016;22(2):138-145, 2016
• J DiGiovanna, TAK Nguyen, N Guinand, A Pérez-Fornos, S Micera “Neural network model of vestibular nuclei reaction to onset of vestibular prosthetic stimulation” Frontiers in bioengineering and biotechnology 4:34, 2016

2015

• J Rigosa, A Panarese, N Dominici, L Friedli, R van den Brand, J Carpaneto, J DiGiovanna, G Courtine, and S Micera, “Decoding bipedal locomotion from the rat sensorimotor cortex” J Neural Engineering, vol 12, issue 056014, 2015

2014

• N Wenger, E Martin-Moraud, S Raspopovic, M Bonizzato, J DiGiovanna, P Musienko, S Micera, G Courtine, “Closed-loop neuromodulation of spinal sensorimotor circuits restores refined locomotion after complete spinal cord injury” Science Translational Medicine, vol. 6, issue 255, 2014
• TAK Nguyen, M Ranieri, J DiGiovanna, O Peter, V Genovese, A Perez Fornos, et al., “A Real-Time Research Platform to Study Vestibular Implants With Gyroscopic Inputs in Vestibular Deficient Subjects” IEEE BioCAS, vol. 8, pp. 474-484, Aug, 2014
• W Poppendieck, A Sossalla, M-O Krob, C Welsch, TAK Nguyen, W Gong, J DiGiovanna, S Micera, DM Merfeld, and K-P Hoffmann, “Development, manufacturing and application of double-sided flexible implantable microelectrodes” Biomedical Microdevices, pp. 1-14, 2014

2013

• D Borton, M Bonizzato, J Beauparlant-Heutschi, J DiGiovanna , EM Moraud, N Wenger, P Musienko, IR Minev, SP Lacour, S Micera, J del R Millán, and G Courtine, “Corticospinal neuroprostheses to restore locomotion after spinal cord injury” J Neuroscience Research, 2013

2012

• G Courtine, S Micera, J DiGiovanna , and J del R Millan, “Brain-machine interface: one step closer to therapeutic reality?” Lancet (comment), December 17, 2012
• R van den Brand*, J Heutschi*, Q Barraud, J DiGiovanna, K Bartholdi, M Huerlimann, L Friedli, I Vollenweider, E Martin Moraud, S Duis, N Dominici, S Micera, P Musienko, G Courtine “Restoring Voluntary Control of Locomotion after Paralyzing Spinal Cord Injury” Science, vol 336, pp. 1182-1185, 2012
• J DiGiovanna, J Carpanteto, S Micera, and DM Merfeld, “Alignment of angular velocity sensors for a vestibular prosthesis” Journal of NeuroEngineering & Rehabilitation, 9:14, 2012

2010

• J DiGiovanna, W Gong, C Haburcakova, V Koegler, J Carpaneto, V Genovese, DM Merfeld, A Demosthenous, JP Guyot, K-P Hoffmann, A Berthoz, M Morari, and S Micera, “Development of a closed-loop neural prosthesis for vestibular disorders” J Automatic Control v. 20, p. 27-32, 2010
• J DiGiovanna, P Rattanatamrong, M Zhao, B Mahmoudi, L Hermer, R Figueiredo, JC Principe, J Fortes, and JC Sanchez, “Cyber-workstation for computational neuroscience” Frontiers in Neuroengineering, 2010

2009

• JC Sanchez, B Mahmoudi, J DiGiovanna, and JC Principe, “Exploiting Co-Adaptation for the Design of Symbiotic Neuroprosthetic Assistants” Neural Networks, vol. 22, pp.305-315, 2009
• J DiGiovanna, B Mahmoudi, J Fortes, JC Principe, and JC Sanchez, “Co-adaptive Brain-Machine Interface via Reinforcement Learning” IEEE Transactions on Biomedical Engineering, vol. 56, pp. 54-64, 2009

Peer Reviewed Conference Proceedings

2024

• M Rankovic, N Vukojicic, N Ilic Raicevic, V Matovic, D Sain, J DiGiovanna, B Davis-Dusenbery. “CGC-hosted comprehensive pipeline for spatial transcriptomics analysis” American Association for Cancer Research (AACR), 2024
• V Petrosyan, V Kovacevic, P Obradovic, C Fisher, Z Worman, D Sain, J DiGiovanna, B Davis-Dusenberry, Aleksandar Milosavljevic. “CTD2″ Connects the Dots” to capture disease genes in complex networks and its application on the Cancer Genomics Cloud” American Association for Cancer Research (AACR), 2024
• K Abdilleh, Z Worman, R Beck, C Fisher, D Sain, J DiGiovanna, L Matrisian, S Doss, Brandi Davis-Dusenbery. “Leveraging real-world pancreatic cancer datasets to drive drug discovery and patient health” American Association for Cancer Research (AACR), 2024

2023

• N Vukojicic, A Danicic, Z Worman, R Beck, D Veljkovic, M Matic, J DiGiovanna, B Davis-Dusenbery “Highly customizable multi-sample single cell RNA-Seq pipeline on the CGC” American Association for Cancer Research (AACR), 2023
• D Higgins, J-P Thibert, M Mattioni, J DiGiovanna, RL Grossman, BK Farrow, E Wenger, S Volchenboum, RJ Carroll, MA Haendel “Gabriella Miller Kids First Data Resource Center (KFDRC): Empowering discovery across germline and somatic variation in pediatric cancer” American Association for Cancer Research (AACR), 2023
• S Koc, V Varjacic, M Rankovic, M Slavkovic-Ilic, A Danicic, S Black, N Ohashi, T Sarkar, Z Worman, J DiGiovanna; “Collaborating to ensure data-driven drug discovery on the Cancer Genomics Cloud: Realizing the possibilities for MoDaC and ATOM” American Association for Cancer Research (AACR), 2023

2022

• S Koc, J Babic, N Nikolic, A Stankovic, D Ventre, M Ray, Z F Worman, S Lakshmi Subramanian, D A Dean, J DiGiovanna, B Davis Dusenbery, “The SB Image Processing Toolkit: Machine learning for cancer research on the CGC” American Association for Cancer Research (AACR), 2022
• M Ray, S Lakshmi Subramanian, D Roberson, Z Worman, D A Dean, S Koc, J DiGiovanna, B Davis-Dusenbery, “The Cancer Genomics Cloud enables bioinformatics training in a hybrid educational world” American Association for Cancer Research (AACR), 2022
• K Abdilleh, O Khalid, D Ladnier, W Wan, S Seepo, G Rupp, V Corelj, Z Worman, B Press, J DiGiovanna “PanCAN SPARK: A cloud-based health data integration platform for pancreatic cancer data” American Association for Cancer Research (AACR), 2022
• Z Worman, M Ray, N Miletic, M Kovačević, A Stankovic, N Ilic Raicevic, D Ventre, S Subramanian, J Randjelovic, J DiGiovanna, B Davis-Dusenbery “Variant analysis for exploration of cancer datasets on the Cancer Genomics Cloud, powered by Seven Bridges” Cancer Genomics Consortium, 2022

2021

• S Lakshmi Subramanian, M Ray, J DiGiovanna, J Radenkovic, M Tosic, N Mirkovic, M Stanojevic, M Trboljevac, V Andjus, A Stelkic, B Davis-Dusenbery, “The Cancer Genomics Cloud: A secure and scalable cloud-based platform to access, share and analyze multi-omics datasets” American Association for Cancer Research (AACR), 2021
• S Koc, M Lloyd, S Neuhauser, J Noodbakhsh, A Srivastava, X Yi Woo, R Jeon, J Grover, S Seepo, C Frech, J DiGiovanna, PDXNet Consortium, Y A Evard, T Wallace, J Moscow, J H Doroshow, N Mitsuade, S Kaochar, C Pan, M S Chen, L Carvarjal-Carmona, A Welm, B Welm, M T Lewis, G Ramaswamy, L Ding, S Li, M Herlyn, M Davies, J Roth, F Meric-Bernstam, P Robinson, C J Bult, B Davis-Dusenbery, D A Dean, J H Chuang, “Advancing PDX research through model, data, and bioinformatics with the PDXNet Portal” American Association for Cancer Research (AACR), 2021

2013

• J Lee, J DiGiovanna, L Friedli, G Courtine, and S Micera, “Multi-Unit Firing Rate Features in Hindlimb Sensory-Motor Cortex Reflect Over-Ground Locomotion in Rats” IEEE EMBC Conf on Neural Eng, San Diego 2013
• E Martin Moraud, N Wenger, J Gandar, J DiGiovanna, P Musienko, G Courtine, and S Micera, “A Real-Time Platform for Studying the Modulatory Capacity of Epidural Stimulation after Spinal Cord Injury” IEEE EMBC Conf on Neural Eng, San Diego 2013
• TAK Nguyen, W Gong, W Poppendieck, J DiGiovanna, and S Micera, “Investigating Ocular Movements and Vestibular Evoked Potentials for a Vestibular Neuroprosthesis: Response to Pulse Trains and Baseline Stimulation” IEEE EMBC Conf on Neural Eng, San Diego 2013

2012

• TAK Nguyen, J DiGiovanna, DM Merfeld, and S Micera, “Comparing Artifact Reduction Methods for Recording Vestibular Evoked Potentials in a Vestibular Neuroprosthesis,” IEEE EMBC Conference, San Diego 2012

2011

• K-P Hoffmann, W Poppendieck, S Tätzner, J DiGiovanna, MI Kos, N Guinand, J-P Guyot, and S Micera, “3D Hybrid Electrode Structure as Implantable Interface for a Vestibular Neural Prosthesis in Humans,” IEEE EMBC Conference, Boston 2011
• TAK Nguyen, V Kögler, J DiGiovanna and S Micera, “Finding Physiological Responses in Vestibular Evoked Potentials,” IEEE EMBC Conference, Boston 2011
• V Kögler, TAK Nguyen, J DiGiovanna, and S Micera, “Recording Vestibular Evoked Potentials Induced by Electrical Stimulation of the Horizontal Semicircular Canal in Guinea Pig,” IEEE EMBS Conference on Neural Engineering, Cancun 2011

2010

• P Rattanatamrong, P Raiturkar, M Zhao, B Mahmoudi, J DiGiovanna , JC Principe, R Figueiredo, JC Sanchez, J Fortes, “Model Development, Testing and Experimentation in a CyberWorkstation for Brain-Machine Interface Research,” in IEEE EMBC Conference, Buenos Aires, Argentina, 2010

2009

• J DiGiovanna, B Mahmoudi, JC Principe, and JC Sanchez, “Quantifying Neuronal Important in Value-Based Brain-Machine Interfaces,” in IEEE EMBS Conference on Neural Engineering, Antalya, Turkey, 2009

2008

• J DiGiovanna, L Citi, K Yoshida, J Carpaneto, JC Principe, JC Sanchez, and S Micera, “Inferring the Stability of LIFE through Brain-Machine Interfaces,” in International Conference of the IEEE EMBS Vancouver, 2008
• M Zhao, P Rattanatamrong, J DiGiovanna, B Mahmoudi, R Figueiredo, JC Sanchez, JC Principe, and J Fortes, “BMI Cyberworkstation: Enabling Dynamic Data-Driven Brain-Machine Interface Research Through Cyberinfrastructure,” in IEEE Engineering in Medicine & Biology Vancouver, 2008
• B Mahmoudi, J DiGiovanna, JC Principe, and JC Sanchez, “Neural Tuning in a Reinforcement Learning-Based Brain Machine Interface,” in IEEE EMBC Conference,  Vancouver, 2008
• B Mahmoudi, J DiGiovanna, JC Principe, and JC Sanchez, “Co-Adaptive Brain-Machine Interfaces via Reinforcement Learning,” in Neural Interfaces Conference, Cleveland, Ohio, 2008
• B Mahmoudi, J DiGiovanna, JC Principe, and JC Sanchez, “ Co-Adaptive Learning in Brain-Machine Interfaces,” in Brain Inspired Cognitive Systems, Sao Luis, Brazil, 2008

2007

• J DiGiovanna, B Mahmoudi, J Mitzelfelt, JC Sanchez, and JC Principe, “Brain-Mchine Interface Control via Reinforcement Learning,” in IEEE EMBS Conference on Neural Engineering Kohala Coast, 2007.
• B Mahmoudi, J DiGiovanna, JC Principe, and JC Sanchez, “Neuronal Shaping in a Co-Adaptive Brain Machine Interface,” in COSYNE, Salt Lake City, Utah, 2007
• J DiGiovanna, L Marchal, P Rattanatamrong, M Zhao, S Darmanjian, B Mahmoudi, JC Sanchez, JC Principe, L Hermer-Vazquez, R Figueiredo, and J Fortes, “Towards Real-Time Distributed Signal Modeling for Brain Machine Interfaces,” in International Conference on Computational Science, 2007

2006

• J DiGiovanna, JC Sanchez, and JC Principe, “Improved Linear BMI Systems via Population Averaging,” in International Conference of the IEEE EMBS, New York, 2006
• J DiGiovanna, JC Sanchez, B Fregly, and JC Principe, “Arm Motion Reconstruction via Feature Clustering in Joint Angle Space,” in IEEE International Joint Conference on Neural Networks Vancouver, 2006

PhD Dissertation

J DiGiovanna, “Changing the Brain Machine Interface Paradigm: Co-adaptation based on Reinforcement Learning”, Ph. D. Dissertation, University of Florida, Gainesville, FL [abstract only due to publishing agreements]

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