Scientific Programme

Virtual Workshop: All talks will be recorded in advance and be made available from January 15th 2021 until March 31st, 2021. During this timeframe, every talk will be coupled to a virtual (chat) discussion room for speakers to interact with attendees in asynchronous Q&A.

Live sessions: Every talk will be assigned a timeslot for live attendance, and realtime Q&A in one of multiple breakout rooms on Feb 19th 2021. This is your chance to meet the speakers, ask your questions LIVE and discuss your collaborative ideas!

Online Jan 15th – March 31st

Welcome and Opening
Prof. Marco Geppi - University of Pisa (Italy) - Opening remarks
Prof. Nicola Toschi – University of Rome Tor Vergata (Italy) - Welcome and introduction to the workshop
Dr. Andrea Duggento – University of Rome Tor Vergata (Italy) ‐ Focused introduction to deep learning for biomedical applications

Welcome and Opening

Prof. Marco Geppi - University of Pisa (Italy) - Opening remarks

Prof. Nicola Toschi – University of Rome Tor Vergata (Italy) - Welcome and introduction to the workshop

Dr. Andrea Duggento – University of Rome Tor Vergata (Italy) ‐ Focused introduction to deep learning for biomedical applications

Hardware and sequence design through AI	AI for image reconstruction
Keynote Lectures Prof. Florian Knoll – NYU Langone Health (United States) - *"Potential and potential pitfalls of AI for the diagnostic MRI pipeline"* Prof. Jongho Lee – Seoul National University (Republic of Korea) - *"Deep Designed RF"*	Keynote Lectures Prof. Andreas Maier – Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) - *"Known Operator Learning ‐ An approach to unite machine learning, signal processing, and physics"* Prof. Jong Chul Ye – Korea Advanced Institute of Science and Technology (Republic of Korea) - "Unsupervised deep learning for MR reconstruction using physics-informed cycleGAN"
Oral Communications Prof. Gianluigi Veglia, Dr. Manu Veliparambil Subrahmanian - University of Minnesota (United States) - *"Artificial Intelligence in RF Pulse Design: from High Resolution NMR to Imaging"* Prof. Mads Sloth Vinding - Aarhus University (Denmark) - *"Optimal and DeepControl in MRI pulse sequence"* Prof. Mehmet Akcakaya – University of Minnesota (United States) - "Self-Supervised Deep Learning of MRI Reconstruction without Reference Data"	Oral Communications Dr. Vegard Antun – University of Oslo (Norway) - "AI generated hallucinations in the sciences - On the stability accuracy trade-off in deep learning"

Hardware and sequence design through AI

AI for image reconstruction

Keynote Lectures

Prof. Florian Knoll – NYU Langone Health (United States) - "Potential and potential pitfalls of AI for the diagnostic MRI pipeline"

Prof. Jongho Lee – Seoul National University (Republic of Korea) - "Deep Designed RF"

Keynote Lectures

Prof. Andreas Maier – Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) - "Known Operator Learning ‐ An approach to unite machine learning, signal processing, and physics"

Prof. Jong Chul Ye – Korea Advanced Institute of Science and Technology (Republic of Korea) - "Unsupervised deep learning for MR reconstruction using physics-informed cycleGAN"

Oral Communications

Prof. Gianluigi Veglia, Dr. Manu Veliparambil Subrahmanian - University of Minnesota (United States) - "Artificial Intelligence in RF Pulse Design: from High Resolution NMR to Imaging"

Prof. Mads Sloth Vinding - Aarhus University (Denmark) - "Optimal and DeepControl in MRI pulse sequence"

Prof. Mehmet Akcakaya – University of Minnesota (United States) - "Self-Supervised Deep Learning of MRI Reconstruction without Reference Data"

Oral Communications

Dr. Vegard Antun – University of Oslo (Norway) - "AI generated hallucinations in the sciences - On the stability accuracy trade-off in deep learning"

AI for image analysis and statistical inference	Interpretability and Explainability
Keynote Lectures Dr. Chen Qin - The University of Edinburgh (United Kingdom) - *"Deep Learning for Dynamic MRI Reconstruction"* Prof. Daniel Remondini / Prof. Gastone Castellani – Bologna University (Italy) - *"Artificial Intelligence in MRI: from raw data to analysis"*	Keynote Lectures Prof. Paul Rad – The University of Texas at San Antonio (United States) - "Explainable and Robust Deep Learning for Medical Domain"
Oral Communications Dr. Guy Gaziv - Weizmann Institute of Science (Israel)" - Self-Supervised Natural Image Reconstruction and Rich Semantic Classification from Brain Activity" Dr. Marco Palombo – University College London (United Kingdom) - *"Machine Learning Applications to Microstructure Imaging through Diffusion MRI"* Dr. Tiago Azevedo – University of Cambridge (United Kingdom) - *"A Deep Graph Neural Network Architecture for rs-fMRI Data"* Dr. Mike Germuska – Cardiff University (United Kingdom) "Robust estimation of cerebral oxygen metabolism with machine learning" Dr. Giovanna Maria Dimitri – Università degli Studi di Siena (Italy) - *"Brain MRI segmentation and reconstruction. A Deep Learning perspective"* Dr. Simeon Spasov – University of Cambridge (United Kingdom) - "Overcoming the challenges of data paucity in deep learning for neuroimaging"	Oral Communications Dr. Riccardo Guidotti – University of Pisa (Italy) - *"Explaining Explanation Methods: from LIME to DoctorXAI"* Dr. David Schneeberger – University of Vienna (Austria) - *"Quo vadis Europe? A comparative outlook at proposed explainability regulation"*

AI for neuroscience and clinical applications	Current challenges and future perspectives
Keynote Lectures Prof. Duygu Tosun-Turgut – San Francisco Veterans Affairs Medical Center (United States) - *"Impact of AI and deep learning on imaging of neurodegenerative diseases"* Prof. Hugo Aerts – Harvard Medical School, Boston (United States) - *"Artificial Intelligence in Cancer Imaging"* Prof. Federica Agosta – Vita-Salute San Raffaele University (Italy) - *"Artificial intelligence for early diagnosis and clinical decision making in neurodegenerative disorders"* Prof. Hugo G. Schnack – UMC Utrech (Netherlands) - *"AI for psychiatric imaging: promises and challenges"* Prof. Maryellen L. Giger – The University of Chicago (United States) - "Machine Learning on MRI of Breast Cancer"	Keynote Lectures Dr. Donatello Apelusion Gassi – Amazon Web Services (AWS), Dr. Giuseppe Leonardo Cascella – Idea75 - *"Unstructured data, ML and AI for healthcare and industry 4.0 applications"* Prof. Roberto Basili – University of Rome Tor Vergata (Italy) "Interpretability and Explainability in Machine Learning: lesson learnt, challenges and directions from a NLP perspective" Prof. Stefano Diciotti – Bologna University (Italy) - "Current challenges and future perspectives of machine learning techniques in medical imaging"
Oral Communications Dr. Allegra Conti – University of Rome Tor Vergata (Italy) - *"Dissecting the progression of multiple sclerosis through explainable ML techniques"* Dr. Antonio Maria Chiarelli – G. D’Annunzio University (Italy) - *"A Machine Learning Framework for Assessing the Effect of Prematurity on MRI Metrics of Functional Connectivity and Regional Brain Structure"* Prof. Patrick Bolan – University of Minnesota (United States) - *"Improving Advanced Imaging Workflows with AI"* Dr. Tommaso Banzato - University of Padova (Italy) - *"Clinical Applications of AI in Diagnostic Imaging"* Prof. Claudio Luchinat – University of Florence (Italy) - *"Predictive models from metabolomic data"*	Oral Communications Prof. Fabio Massimo Zanzotto – University of Rome Tor Vergata - *"Clinician-in-the-loop AI: for a fairer model of clinical knowledge exploitation"* Dr. Marcello Cadioli - Philips Healthcare (Italy) - *"AI for MRI: An industrial perspective and outlook"* Dr. Birgi Tamersoy – Siemens Healthcare (Italy) - *"AI for healthcare"*

Feb19th –(8.30-18.30 CET) Live Sessions with all speakers and Round Table (Nicola Toschi –Moderator, urls for breakout rooms al well as detailed timetable will follow)
All Keynotes – Invited Speakers – Attendees. Talks will be presented or reproduced in presence of the speakers for realtime Q&A and discussion and networking. The workshop will end with a live round table. This is your chance to meet the speakers, ask your questions LIVE and discuss your collaborative ideas!

Feb19th –(8.30-18.30 CET) Live Sessions with all speakers and Round Table

(Nicola Toschi –Moderator, urls for breakout rooms al well as detailed timetable will follow)

All Keynotes – Invited Speakers – Attendees.
Talks will be presented or reproduced in presence of the speakers for realtime Q&A and discussion and networking. The workshop will end with a live round table.
This is your chance to meet the speakers, ask your questions LIVE and discuss your collaborative ideas!

Closure and Adjournment
Prof. Marco Geppi – University of Pisa (Italy)

Closure and Adjournment

Prof. Marco Geppi – University of Pisa (Italy)