Jeremias Sulam

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 16

Top Topics

Convolutional Neural Network

Artificial Intelligence

Top Venues

Radiology. Artificial intelligence

bioRxiv : the preprint server for biology

Advanced science (Weinheim, Baden-Wurttemberg, Germany)

This page only lists publications with an associated author ORCID identifier.

Publications

Helge Jörn Zöllner, Christopher W Davies-Jenkins, Dunja Simicic, Assaf Tal, Jeremias Sulam, Georg Oeltzschner
Simultaneous multi-transient linear-combination modeling of MRS data improves uncertainty estimation. bioRxiv : the preprint server for biology (2024)
Kesavan Venkatesh, Simukayi Mutasa, Fletcher Moore, Jeremias Sulam, Paul H Yi
Gradient-Based Saliency Maps Are Not Trustworthy Visual Explanations of Automated AI Musculoskeletal Diagnoses. Journal of imaging informatics in medicine (2024)
Jacopo Teneggi, Paul H Yi, Jeremias Sulam
Examination-Level Supervision for Deep Learning-based Intracranial Hemorrhage Detection on Head CT Scans. Radiology. Artificial intelligence 6 (1) (2024)
Jacopo Teneggi, Paul H Yi, Jeremias Sulam
Examination-Level Supervision for Deep Learning-based Intracranial Hemorrhage Detection on Head CT Scans. Radiology. Artificial intelligence 6 (1) (2024)
Jacopo Teneggi, Paul H Yi, Jeremias Sulam
Examination-Level Supervision for Deep Learning-based Intracranial Hemorrhage Detection on Head CT Scans. Radiology. Artificial intelligence 6 (1) (2024)
Helge Jörn Zöllner, Christopher W Davies-Jenkins, Dunja Simicic, Assaf Tal, Jeremias Sulam, Georg Oeltzschner
Simultaneous multi-transient linear-combination modeling of MRS data improves uncertainty estimation. bioRxiv : the preprint server for biology (2024)
Helge Jörn Zöllner, Christopher W Davies-Jenkins, Dunja Simicic, Assaf Tal, Jeremias Sulam, Georg Oeltzschner
Simultaneous multi-transient linear-combination modeling of MRS data improves uncertainty estimation. bioRxiv : the preprint server for biology (2024)
Helge Jörn Zöllner, Christopher W Davies-Jenkins, Dunja Simicic, Assaf Tal, Jeremias Sulam, Georg Oeltzschner
Simultaneous multi-transient linear-combination modeling of MRS data improves uncertainty estimation. bioRxiv : the preprint server for biology (2024)
Helge Jörn Zöllner, Christopher W Davies-Jenkins, Dunja Simicic, Assaf Tal, Jeremias Sulam, Georg Oeltzschner
Simultaneous multi-transient linear-combination modeling of MRS data improves uncertainty estimation. bioRxiv : the preprint server for biology (2024)
Xin Jiang, Talya Borkum, Sagi Shprits, Joseph Boen, Sofia Arshavsky-Graham, Baruch Rofman, Merav Strauss, Raul Colodner, Jeremias Sulam, Sarel Halachmi, Heidi Leonard, Ester Segal
Accurate Prediction of Antimicrobial Susceptibility for Point-of-Care Testing of Urine in Less than 90 Minutes via iPRISM Cassettes. Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2023)
Yu Kang T Xu, Austin R Graves, Gabrielle I Coste, Richard L Huganir, Dwight E Bergles, Adam S Charles, Jeremias Sulam
Cross-modality supervised image restoration enables nanoscale tracking of synaptic plasticity in living mice. Nature methods (2023)
Preetham Bachina, Sean P Garin, Pranav Kulkarni, Adway Kanhere, Jeremias Sulam, Vishwa S Parekh, Paul H Yi
Coarse Race and Ethnicity Labels Mask Granular Underdiagnosis Disparities in Deep Learning Models for Chest Radiograph Diagnosis. Radiology 309 (2) (2023)
Yu Kang T Xu, Austin R Graves, Gabrielle I Coste, Richard L Huganir, Dwight E Bergles, Adam S Charles, Jeremias Sulam
Cross-modality supervised image restoration enables nanoscale tracking of synaptic plasticity in living mice. Nature methods (2023)
Zachary R Murphy, Kesavan Venkatesh, Jeremias Sulam, Paul H Yi
Visual Transformers and Convolutional Neural Networks for Disease Classification on Radiographs: A Comparison of Performance, Sample Efficiency, and Hidden Stratification. Radiology. Artificial intelligence 4 (6) (2022)
Zachary R Murphy, Kesavan Venkatesh, Jeremias Sulam, Paul H Yi
Visual Transformers and Convolutional Neural Networks for Disease Classification on Radiographs: A Comparison of Performance, Sample Efficiency, and Hidden Stratification. Radiology. Artificial intelligence 4 (6) (2022)
Kesavan Venkatesh, Samantha M Santomartino, Jeremias Sulam, Paul H Yi
Code and Data Sharing Practices in the Radiology Artificial Intelligence Literature: A Meta-Research Study. Radiology. Artificial intelligence 4 (5) (2022)