130 citations
- M. Linguraru2 profiles12 · h 38
- Abhijeet Parida7 · h 8
- Zhifan Jiang7 · h 13
- S. Anwar2 profiles6 · h 8
- Austin Tapp4 · h 5
- Daniel Capellán-Martín4 · h 7
- María J. Ledesma-Carbayo4 · h 5
- Syed Muhammed Anwar4 · h 5
- A. Kazerooni3 · h 19
- Benedikt Wiestler2 profiles3 · h 31
- Bjoern H Menze3 · h 71
- C. Davatzikos2 profiles3 · h 121
- George Washington UniversityUS16 papers
- Massachusetts General HospitalUS5 papers
- Universidad Politécnica de MadridES5 papers
- Children's Hospital of PhiladelphiaUS4 papers
- Georgetown UniversityUS4 papers
- Harvard UniversityUS4 papers
- University of PennsylvaniaUS4 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS3 papers
- Cornell UniversityUS3 papers
- Indiana University – Purdue University IndianapolisUS3 papers
- Indiana University School of Medicine3 papers
- Mayo Clinic in ArizonaUS3 papers
Showing 2023Show all
3 papers · 1 filter
eess.IV2023★ 6 cited
A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network
Ariana M. Familiar, Anahita Fathi Kazerooni, Hannah Anderson +37
Pediatric brain and spinal cancers remain the leading cause of cancer-related death in children. Advancements in clinical decision-support in pediatric neuro-oncology utilizing the…
cs.LG2023★ 29 cited
SelfFed: Self-Supervised Federated Learning for Data Heterogeneity and Label Scarcity in Medical Images
Sunder Ali Khowaja, Kapal Dev, Syed Muhammad Anwar +1
Self-supervised learning in the federated learning paradigm has been gaining a lot of interest both in industry and research due to the collaborative learning capability on unlabel…
q-bio.GN2023★ 130 cited
Beyond the exome: what's next in diagnostic testing for Mendelian conditions
Monica H. Wojcik, Chloe M. Reuter, Shruti Marwaha +21
Despite advances in clinical genetic testing, including the introduction of exome sequencing (ES), more than 50% of individuals with a suspected Mendelian condition lack a precise…