activity
20212024
most citedDeep learning for brain metastasis detection and segmentation in longitudinal MRI data

57 citations · 102 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2024★ 1 cited

Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma

Ahmed Gomaa, Yixing Huang, Amr Hagag +16

Background: This research aims to improve glioblastoma survival prediction by integrating MR images, clinical and molecular-pathologic data in a transformer-based deep learning mod…

physics.med-ph2023

Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet

Rupali Khatun, Soumick Chatterjee, Christoph Bert +6

Hyperthermia (HT) in combination with radio- and/or chemotherapy has become an accepted cancer treatment for distinct solid tumour entities. In HT, tumour tissue is exogenously hea…

eess.IV2023★ 3 cited

The Segment Anything foundation model achieves favorable brain tumor autosegmentation accuracy on MRI to support radiotherapy treatment planning

Florian Putz, Johanna Grigo, Thomas Weissmann +13

Background: Tumor segmentation in MRI is crucial in radiotherapy (RT) treatment planning for brain tumor patients. Segment anything (SA), a novel promptable foundation model for au…

physics.med-ph2023★ 9 cited

Benchmarking ChatGPT-4 on ACR Radiation Oncology In-Training (TXIT) Exam and Red Journal Gray Zone Cases: Potentials and Challenges for AI-Assisted Medical Education and Decision Making in Radiation Oncology

Yixing Huang, Ahmed Gomaa, Sabine Semrau +12

The potential of large language models in medicine for education and decision making purposes has been demonstrated as they achieve decent scores on medical exams such as the Unite…

eess.IV2022★ 32 cited

Deep learning for automatic head and neck lymph node level delineation provides expert-level accuracy

Thomas Weissmann, Yixing Huang, Stefan Fischer +16

Background: Deep learning (DL)-based head and neck lymph node level (HN_LNL) autodelineation is of high relevance to radiotherapy research and clinical treatment planning but still…

eess.IV2021★ 57 cited

Deep learning for brain metastasis detection and segmentation in longitudinal MRI data

Yixing Huang, Christoph Bert, Philipp Sommer +10

Brain metastases occur frequently in patients with metastatic cancer. Early and accurate detection of brain metastases is very essential for treatment planning and prognosis in rad…