Student Paper Competition Finalists

Please join us in congratulating the Finalists selected for the 2022 EMBS Student Paper Competition!

The Finalists will present their papers in special judging sessions on Tuesday 12 July, 2022
The winners will be announced just prior to the Keynote on Wednesday 13 July, 2022

Best of luck to all in the final phase of the competition!

Geographic Finalists:

Middle East-Africa:
Alaa Mohamed
Cairo University
“Bilateral Analysis Boosts the Performance of Mammography-based Deep Learning Models in Breast Cancer Risk Prediction”

Latin America:
Yesid Gutiérrez
Universidad Industrial de Santander
“Multimodal Contrastive Supervised Learning to Classify Clinical Significance MRI Regions on Prostate Cancer”

Reem Almasri
University of New South Wales
“Electromechanical Stability and Transmission Behavior of Transparent Conductive Films for Biomedical Optoelectronic Devices”

Tommaso Volpi
University of Padova
“Modeling Venous Plasma Samples in [18F]FDG PET Studies: A Nonlinear Mixed-Effects Approach”

North America:
Yue Cui
University of Tennessee, Knoxville
“Privacy-Preserving Speech-Based Depression Diagnosis Via Federated Learning”

Open Finalists:

Johann Vargas-Calixto
McGill University
“Multi-Chain Semi-Markov Analysis of Intrapartum Cardiotocography”

Thomas Conroy
Cornell University
“Physiological Features of Cardiac Ventricle and Valve Dynamics from Wearable Radio-Frequency Sensors”

Li Heng
Southern University of Science and Technology
“MVD-Net: Semantic Segmentation of Cataract Surgery Using Multi-View Learning”

Nuria Pena Perez
Queen Mary University of London
“Lateralization of Impedance Control in Dynamic versus Static Bimanual Tasks”

Maria Jantz
University of Pittsburgh
“A Computational Study of Lower Urinary Tract Nerve Recruitment with Epidural Stimulation of the Lumbosacral Spinal Cord”

Niklas Smedemark-Margulies
Northeastern University
“AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data”

Marie-Judith Saint Martin
Inserm – Institut Curie
“Decrypting the Information Captured by MRI-Radiomic Features in Predicting the Response to Neoadjuvant Chemotherapy in Breast Cancer”

Mineaki Oinuma
Yokohama National University
“Bio-Signal Feature Analysis to Detect Aspiration Caused by Dysphagia”

Marco Carbonaro
Politecnico di Torino
“Detecting Anatomical Characteristics of Single Motor Units by Combining High Density Electromyography and Ultrafast Ultrasound: A Simulation Study”

Noa Nuzov
Northwestern University
“True location of deep brain stimulation electrodes differs from what is seen on postoperative magnetic resonance images: An anthropomorphic phantom study”