Medical AI

To Impute or not to Impute? Missing Data in Treatment Effect Estimation AISTATS 2023 Towards Reference Speech Characterization for Health Applications Interspeech 2023 Towards robust paralinguistic assessment for real-world mobile health (mHealth) monitoring: an initial study of reverberation effects on speech Interspeech 2023 Towards Supporting an Early Diagnosis of Multiple Sclerosis using Vocal Features Interspeech 2023 T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression AISTATS 2023 Tracking the Evolution of Covid-19 Symptoms through Clinical Conversations ACL 2023 Training Models on Oversampled Data and a Novel Multi-class Annotation Scheme for Dementia Detection ACL 2023 Two Directions for Clinical Data Generation with Large Language Models: Data-to-Label and Label-to-Data EMNLP 2023 Uncovering the Potential for a Weakly Supervised End-to-End Model in Recognising Speech from Patient with Post-Stroke Aphasia ACL 2023 Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data AISTATS 2023 UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language ACL 2023 Validation of a Task-Independent Cepstral Peak Prominence Measure with Voice Activity Detection Interspeech 2023 VBD-NLP at BioLaySumm Task 1: Explicit and Implicit Key Information Selection for Lay Summarization on Biomedical Long Documents ACL 2023 Voice Passing : a Non-Binary Voice Gender Prediction System for evaluating Transgender voice transition Interspeech 2023 Walking a Tightrope – Evaluating Large Language Models in High-Risk Domains EMNLP 2023 wav2vec 2.0 ASR for Cantonese-Speaking Older Adults in a Clinical Setting Interspeech 2023 When to Make and Break Commitments? ICLR 2023 Which aspects of motor speech disorder are captured by Mel Frequency Cepstral Coefficients? Evidence from the change in STN-DBS conditions in Parkinson’s disease Interspeech 2023 Who needs context? Classical techniques for Alzheimer’s disease detection ACL 2023 A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging Phenotypes of Disease ICLR 2022 Accelerating COVID-19 Research with Graph Mining and Transformer-Based Learning AAAI 2022 Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection Interspeech 2022 A Domain Knowledge Enhanced Pre-Trained Language Model for Vertical Search: Case Study on Medicinal Products COLING 2022 A Holistic Framework for Analyzing the COVID-19 Vaccine Debate NAACL 2022 A Knowledge-Graph-Based Intrinsic Test for Benchmarking Medical Concept Embeddings and Pretrained Language Models EMNLP 2022