FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis
The scarcity of well-annotated medical datasets requires leveraging transfer learning from broade
TiBiX: Leveraging Temporal Information for Bidirectional X-ray and Report Generation
With the emergence of vision language models in the medical imaging domain, numerous studies have
HuLP: Human-in-the-Loop for Prognosis
This paper introduces HuLP, a Human-in-the-Loop for Prog-
PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation
Imaging modalities such as Computed Tomography (CT)
CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis
Deep learning (DL) models have been advancing automatic
SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast
Predicting the likelihood of survival is of paramount im-
Affordable and real‑time antimicrobial resistance prediction from multimodal electronic health records
The spread of antimicrobial resistance (AMR) leads to challenging complications a
A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation
Adapting foundation models for medical image analysis re-
MedPromptX: Grounded Multimodal Prompting for Chest X-ray Diagnosis
Chest X-ray images are commonly used for predicting acute and chronic cardiopulmonary conditions,
Nuclei Segmentation in histopathological images
Histopathology is the study of change in diseased tissues using a microscopic examination in a bi
Detection and localisation of Tuberculosis in chest X-ray
Tuberculosis (TB) is the leading cause of death from a single infectious disease in the world, ab
Prediction and Quantification of Coronary Artery Disease (CAD) in Echocardiography Images
Coronary Artery Disease (CAD) is a heart condition caused by plaque buildup in the inner walls of
Cardiac Function Assessment in Echocardiographic Scans
The diagnosis of many heart-related probl
Automatic Diagnostic Captioning of Chest X-Ray
Diagnostic captioning is the automatic generation of a diagnostic text from a set of medical imag
Detection of Pulmonary Embolism in CT scans
Pulmonary embolism (PE) is a common pulmonary disease.
Cancer biomarker discovery, classification and prediction
A biomarker is a response to a certain intervention or disease stage and is an indicator of a bio
Automatic classification of neonatal lung disorder in X-ray images
Newborn respiratory distress syndrome (NRDS) typically occurs when the neonatal lungs have not pr
Assessment of fetal lung maturity
The fetal pulmonary system typically starts to mature in later gestation during pregnancy.
Prediction of pre-term fetal birth
Every year, approximately 15 million fetuses are born preterm (when a baby is born before 37 week