Clinical

IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical Trials SemEval 2024 Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images ECCV 2024 imapScore: Medical Fact Evaluation Made Easy ACL 2024 Imbalance-aware loss functions improve medical image classification MIDL 2024 Implicit Modeling of Non-rigid Objects with Cross-Category Signals AAAI 2024 Implicit neural obfuscation for privacy preserving medical image sharing MIDL 2024 Improved Topological Preservation in 3D Axon Segmentation and Centerline Detection Using Geometric Assessment-Driven Topological Smoothing (GATS) WACV 2024 Improving CNN-Based Mitosis Detection through Rescanning Annotated Glass Slides and Atypical Mitosis Subtyping MIDL 2024 Improving Health Information Access in the World’s Largest Maternal Mobile Health Program via Bandit Algorithms AAAI 2024 Improving Speech-Based Dysarthria Detection using Multi-task Learning with Gradient Projection Interspeech 2024 Improving Transfer Learning by means of Ensemble Learning and Swarm Intelligence-based Neuroevolution AutoML 2024 Improving Vietnamese-English Medical Machine Translation COLING 2024 IMS_medicALY at #SMM4H 2024: Detecting Impacts of Outdoor Spaces on Social Anxiety with Data Augmented Ensembling ACL 2024 Incorporating probabilistic domain knowledge into deep multiple instance learning ICML 2024 Incorporating Word Count Information into Depression Risk Summary Generation: INF@UoS CLPsych 2024 Submission EACL 2024 Incremental Nuclei Segmentation from Histopathological Images via Future-class Awareness and Compatibility-inspired Distillation CVPR 2024 Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data AAAI 2024 Inference for Optimal Linear Treatment Regimes in Personalized Decision-making UAI 2024 Inferring Mental Burnout Discourse Across Reddit Communities EMNLP 2024 Instance-level Expert Knowledge and Aggregate Discriminative Attention for Radiology Report Generation CVPR 2024 Instruction Tuning Large Language Models to Understand Electronic Health Records NeurIPS 2024 Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders AAAI 2024 Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback ACL 2024 Integrating Supervised Extractive and Generative Language Models for Suicide Risk Evidence Summarization EACL 2024 Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation EMNLP 2024