Results (520)
Placental Clock DREAM Challenge
Develop a new clock to achieve greater accuracy in predicting gestational age!
Digitally-Derived Endpoints for Freezing-of-Gait Detection (DEFoGD) Challenge
Digitally-Derived Endpoints for Freezing-of-Gait Detection in Parkinson''s (PD)
MapMySpikes: Data Challenge
How do firing properties of a cell relate to its molecular cell type?
Medical Image De-Identification Benchmark (MIDI-B) Challenge
Assessment rule-based DICOM image de-identification (deID) algorithms
BraTS 2024
Adult brain gliomas. characterization
Automated Identification of Mod-Sev TBI Lesions
Traumatic Brain Injury characterization
Multi-Class Segmentation of Aortic Branches and Zones in CTA
Aorta medical imaging
Pelvic Bone Fragments with Injuries Segmentation Challenge
Pelvic fractures characterization
ToothFairy2: Multi-Structure Segmentation in CBCT Volumes
Multi-Structure Segmentation in CBCT Volumes
Ischemic Stroke Lesion Segmentation Challenge 2024
ischemic stroke prediction
AI4Life Microscopy Denoising Challenge
Unsupervised denoising of microscopy images
AutoPET III
Refine the automated segmentation of tumor lesions in PET/CT scans
The LEOPARD Challenge
Uncover finer morphological features' prognostic value
Abdominal Circumference Operator-agnostic UltraSound measurement
Fetal growth restriction prediction
Head and Neck Tumor Segmentation for MR-Guided Applications
Head and Neck Tumor Segmentation
🕹️ 🍄 MARIO : Monitoring AMD progression in OCT
Improve the planning of anti-VEGF treatments
Federated Tumor Segmentation (FeTS) 2024 Challenge
Benchmarking weight aggregation methods for federated training
DREAM olfactory mixtures prediction
Predicting smell from molecule features
precisionFDA Automated Machine Learning (AutoML) App-a-thon
Unlock new insights into its potential applications in healthcare and medicine
ISBI BodyMaps24: 3D Atlas of Human Body
Variations in organ sizes and shapes can indicate a range of medical conditions, from benign anomalies to life-threatening diseases. Precise organ volume measurement is fundamental for effective patient care, but manual organ contouring is extremely time-consuming and exhibits considerable variability among expert radiologists. Artificial Intelligence (AI) holds the promise of improving volume measurement accuracy and reducing manual contouring efforts. We formulate our challenge as a semantic segmentation task, which automatically identifies and delineates the boundary of various anatomical structures essential for numerous downstream applications such as disease diagnosis and treatment planning. Our primary goal is to promote the development of advanced AI algorithms and to benchmark the state of the art in this field. The BodyMaps challenge particularly focuses on assessing and improving the generalizability and efficiency of AI algorithms in medical segmentation across divers...
Cell Tracking Challenge 2024
Develop novel, robust cell segmentation and tracking algorithms
BraTS-ISBI 2024 - Generalizability Across Tumors Challenge
BraTS-GoAT Challenge: Generalizability Across Brain Tumor Segmentation Tasks
Diminished Reality for Emerging Applications in Medicine
Dataset of Synthetic Surgery Scenes: Photorealistic Operating Room Simulations
Harvard Rare Disease Hackathon 2024
Are you a student interested in using AI/ML to tackle rare diseases? Join us!