A 3D lesion segmentation method on whole-body PET images including automated quality control.
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Updated
May 24, 2024
A 3D lesion segmentation method on whole-body PET images including automated quality control.
A systematic approach in using GEO2R for investigating gene expression differences between a low-metastatic group and the highly metastatic MDA-MB-231 (TNBC) human breast cancer cell lines.
A classifier prototype that predicts cancer cell line sex and genotype from gene-based sequencing read counts.
The study of how cancer cells gain stemness.
🧠 | Multimodal Integration of Oncology Data System
Crossmapped phenotype ontologies for the oncology domain
Evaluation framework for oncology foundation models (FMs)
This work is an initial investigation into the predictive potential of a range of machine learning algorithms applied to baseline circulating biomarkers for the prognostic stratification of patients with advanced neuroendocrine tumours receiving 177Lu oxodotreotide therapy
Machine learning for non small cell lung cancer nodal staging from PETCT molecular imaging
Denoising Diffusion Medical Model (DDMM) on PyTorch for generating datasets of Acute Lymphoblastic Leukemia 🩺💜
Point of care system for AMPATH clinics
NUS ZB4171: Building an image classification model to identify leukemia blast cells from normal healthy cells in microscopic images.
Clinical oncology tumor board decision support system made by the Decider project.
ESO speech dataset: an English-language speech corpus of the oncology domain for ASR training and benchmarking and MT benchmarking.
PD-1 Targeted Antibody Discovery Using AI Protein Diffusion
Zarządzanie magazynem odpadów radioaktywnych.
Warlock is a snakemake workflow to spawn multiple demons (deme-based oncology models) as jobs running around on a cluster environment 😈😈
Research code for the investigation of the role of sample size in synthetic data generation
Identification of novel lncRNAs in non-small cell lung cancer. RNA-sequencing course (467713), University of Bern
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