lymphoma

This data-centric AI repository implements a robust deep learning method (LFBNet) for fully automated tumor segmentation in whole-body [18]F-FDG PET/CT images.

This repository employs a deep-learning method for the automated segmentation of total metabolic tumor volume (TMTV) in whole-body [18]F-FDG PET/CT images, with an emphasis on multi-center generalizability.

A 3D lesion segmentation method on whole-body PET images including automated quality control.

Multimodal profiling of T-cells in nodal B-cell lymphoma

nnU-Net-based Lymphoma Total Metabolic Tumor Volume Segmentation

Scripts and pipeline used in the LN phenocluster manuscript

Repo which includes the medical data sets used in a feature selection paper proposed by OASYS group

Automated Deauville Score computation from PET/CT images

Deep-sequencing and Evaluation of Lymphoid Variant Effects

Malignant lymphoma is a cancer affecting lymph nodes. Three types of malignant lymphoma are represented in the set: CLL (chronic lymphocytic leukemia); FL (follicular lymphoma); MCL (mantle cell lymphoma).

Anonymization app for project Phenotyping Lymphoma with an Artificial Intelligence Toolbox (PLAIT) based on R shiny; access website and AI via eduroam

B-Cell Lymphomas Mutational Signatures

Highlights of ASH 2026 Asia-Pacific: A Comprehensive Pocket Guidebook for Hematologists

Multi-omics analyses of lymphomagenesis

Incidence and prevalence projections for Australians with lymphoma

Set of standardized functions to operate with genomic data

ASH 2025 B-Cell Lymphoma Updates: MCL, MZL, and Waldenström Macroglobulinemia - Quarto Reveal.js Presentation

Bachelor thesis of Hanna Junk

Personalized lymphoma therapy design with Gemma 4, AlphaFold, RFdiffusion. Kaggle Gemma 4 Good Hackathon submission.