Schedule

Session

Welcome and opening (Session Chair: Dr. Shadi Albarqouni)

Keynote I (Session Chair: Dr. Debdoot Sheet)

Prof. Dr. Anand Vinekar, Narayana Nethralaya Eye Institute

Integrating computer-aided image detection in telemedicine in infant blindness prevention

Oral Session I (Session Chair: Dr. Debdoot Sheet)

• Contrast and Resolution Improvement of POCUS Using Self-Consistent CycleGAN

Shujaat Khan (Korea Advanced Institute of Science and Technology (KAIST))*; Jaeyoung Huh (KAIST); Jong Chul Ye ("Department of Bio and Brain Engineering, KAIST, Korea")

• Recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph Evaluation Trajectory

Alpay Tekin (Istanbul Technical University)*; Ahmed Nebli (Higher Institute of Applied Science and Technologies (ISSAT), Universite de Sousse)*; Islem Rekik (Istanbul Technical University)

• Inter-Domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning

Başar Demir (Istanbul Technical University)*; Alaa Bessadok (University of Sousse, Tunisia); Islem Rekik (Istanbul Technical University)

• Continual Domain Incremental Learning for Chest X-ray Classification in Low-Resource Clinical Settings

Shikhar Srivastava (Mohamed Bin Zayed University of AI)*; Mohammad Yaqub (Mohamed Bin Zayed University of Artificial Intelligence); Karthik Nandakumar ( Mohamed Bin Zayed University of Artificial Intelligence); Zongyuan Ge (Monash); Dwarikanath Mahapatra (Inception Institute of Artificial Intelligence)

• Low-Dose Dynamic CT Perfusion Denoising without Training Data

Viswanath P. Sudarshan (TCS Research)*; AthulKumar R (IIT Gandhinagar); Pavan Kumar Reddy (TCS Innovation Labs); Jayavardhana Gubbi (TCS Research); Balamuralidhar P ( Tata Consultancy Services)

FAIR lightning talks I (White Papers)

• Random Forest-based Mammogram Classification for Non-IID Heterogeneous Data

Mayar M Alfares (German University in Cairo)*; Mohammed Abdel-Megeed Salem (German University in Cairo)

• echOpen-Cardio: Low-cost Open POCUS & Robust AI for Cardiac Image Analysis

Yingyu YANG (INRIA)*; Mehdi Benchoufi (Hôpital Hôtel Dieu); Pamela Moceri (Hôpital Pasteur - CHU de Nice); Maxime Sermesant (INRIA)

• Co-attention Mechanism with Multi-Modal Factorized Bilinear Pooling for Medical Image Question Answering

Volviane Saphir MFOGO (African Masters in Machine Intelligence)*; Georgia Gkioxari (Facebook AI Research); Xinlei Chen (FAIR); Jeremiah Fadugba (African Masters in Machine Intelligence (AMMI))

• Role of AI-enabled Ultrasound Imaging in a Resource Limited Intensive Care Unit

Nhat Tran Huy Phung (King's College London)*; Nguyen Van Hao (Hospital of Tropical Diseases, Ho Chi Minh city); Luigi Pisani ( Mahidol Oxford Tropical Medicine Research Unit); Hamideh Kerdegari (King's College London); Thuy Duong Bich ( Hospital of Tropical Diseases, Ho Chi Minh city); Thu Le Ngoc Minh (Hospital of Tropical Diseases, Ho Chi Minh city); Thao Truong Thi Phuong (Hospital of Tropical Diseases, Ho Chi Minh city); Thao Le Thi Mai (Hospital of Tropical Diseases, Ho Chi Minh city ); Duong Ha Thi Hai (Hospital of Tropical Diseases, Ho Chi Minh city); Marcus J.Schultz (Mahidol Oxford Tropical Medicine Research Unit); Reza Razavi (King's College London); Andrew King (King's College London); Louise Thwaites (Oxford University Clinical Research Unit); Sophie Yacoub (Oxford University Clinical Research Unit); Alberto Gomez (King's College London)

• Training Hacks and a Frugal Man’s Net with Application to Glioblastoma Segmentation

Jawher J. Ben Abdallah (Laboratoire des Signaux et Smart Systèmes (L3S), Ecole Nationale d'Ingénieurs de Tunis (ENIT), University of Tunis El Manar, Tunis, Tunisia)*; Islem Rekik (Istanbul Technical University); Linda Marrakchi-Kacem (Laboratoire des Signaux et Smart Systèmes (L3S), Ecole Nationale d'Ingénieurs de Tunis, University of Tunis El Manar, Tunis, Tunisia)

Break (Poster Session)

Keynote II (Session Chair: Dr. Islem Rekik)

Prof. Dr. Bram van Ginneken, Radboud University Medical Center

Low-cost healthcare solutions in the age of AI

Oral Session II (Session Chair: Dr. Islem Rekik)

• Can non-specialists provide high-quality Gold standard labels in challenging modalities?

Samuel F Budd (Imperial College London)*; Thomas Day (King's College London); John Simpson (Evelina London Children's Hospital); Karen Lloyd (Epsom and St Helier University NHS Trust); Jacqueline Matthew (KCL); Emily Skelton (King's College London); Reza Rezavi (KCL); Bernhard Kainz (Imperial College London, FAU Erlangen-Nürnberg)

• Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks

Ario Sadafi (Helmholtz Zentrum München)*; Asya Makhro (University of Zurich); Leonid Livshits (University of Zurich); Nassir Navab ("TU Munich, Germany"); Anna Bogdanova (University of Zurich); Shadi Albarqouni (Helmholtz AI | TU Munich); Carsten Marr (Helmholtz-muenchen)

• Classification and Generation of Microscopy Images with Plasmodium Falciparum via Artificial Neural Networks using Low-Cost Settings

Rija Ramarolahy (African Institute for Mathematical); Esther Opoku (African Institute for Mathematical); Alessandro Crimi (University Hospital Zurich)*

• COVID-Net US: A Tailored, Highly Efficient, Self-Attention Deep Convolutional Neural Network Design for Detection of COVID-19Patient Cases from Point-of-care Ultrasound Imaging

Alexander MacLean (University of Waterloo)*; Saad Abbasi (University of Waterloo ); Ashkan Ebadi (National Research Council Canada); Andy Zhao (University of Waterloo); Maya Pavlova (University of Waterloo); Hayden Gunraj (University of Waterloo); PENGCHENG XI (National Research Council Canada); Sonny Kohli (Oakville Trafalgar Memorial Hospital, McMaster University); Alexander Wong (University of Waterloo)

• Deep learning-based Automatic Detection of Adequately Positioned Mammograms

Vikash Gupta (Mayo Clinic)*, Clayton Taylor, Sarah Bonnet, Luciano M. Prevedello, Jeffrey Hawley, Richard D. White, Mona G. Flores, and Barbaros Selnur Erdal

FAIR lightning talks II (White Papers)

• Diabetic retinopathy screening: the power of artificial intelligence

Alvaro J Gonzalez (ArkangelAI)*; Nicolas Munera (ArkangelAI); Jose Zea (ArkangelAI)

• Lung Ultrasound Pathology Classification for ICU Patient Management in Low-Middle Income Country

Nhat Tran Huy Phung (King's College London)*; Hamideh Kerdegari (School of Biomedical Engineering & Imaging Sciences, King's College London); Hao Nguyen Van (Hospital of Tropical Diseases, Ho Chi Minh city); Khoa Le Dinh Van (Oxford University Clinical Research Unit); Thuy Duong Bich (Hospital of Tropical Diseases, Ho Chi Minh city); Thu Le Ngoc Minh (Hospital of Tropical Diseases, Ho Chi Minh city); Shujie Deng (King's College London); Luigi Pisani (Mahidol Oxford Tropical Medicine Research Unit); Angela McBride (Oxford University Clinical Research Unit); Marcus J. Schultz (Mahidol Oxford Tropical Medicine Research Unit); Andrew King (King's College London); Reza Razavi (King's College London); Louise Thwaites (Oxford University Clinical Research Unit); Sophie Yacoub (Oxford University Clinical Research Unit); Alberto Gomez (King's College London)

• Applying artificial intelligence and computer vision to find plasmodium in blood smears

Alvaro J Gonzalez (ArkangelAI)*; Nicolas Munera (ArkangelAI); Jose Zea (ArkangelAI)

• Development of the Next Generation Hand-Held Doppler With Waveform Phasicity Predictive Capabilities Using Deep Learning

Adrit Rao (Palo Alto High School)*; Akshay S Chaudhari (Stanford University); Oliver Aalami (Stanford University)

• AI in Medical Imaging: Chest X-Ray study case

Alvaro J Gonzalez (ArkangelAI)*; Nicolas Munera (ArkangelAI); Jose Zea (ArkangelAI)

Break (Poster Session)

Keynote III (Session Chair: Dr. Sophia Bano)

Dr. Michal Sofka, Hyperfine

Reinventing point-of-care imaging for patient-centered equitable care anytime and anywhere

Best Paper Award and Concluding Remarks (Session Chair: Dr. Shadi Albarqouni, Dr. Nicola Rieke)