Aaron Carass
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Johns Hopkins University, Johns Hopkins Medicineas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0003-4939-5085
- OpenAlex ID
- A5075622613, A5122582712, A5136240155as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 68
A Deep Learning Based Anti-aliasing Self Super-Resolution Algorithm for MRI,
Applications of a deep learning method for anti-aliasing and super-resolution in MRI,
Applying an Open-Source Segmentation Algorithm to Different OCT Devices in Multiple Sclerosis Patients and Healthy Controls: Implications for Clinical Trials,
A Supervoxel Based Random Forest Synthesis Framework for Bidirectional MR/CT Synthesis,
Autoencoder based self-supervised test-time adaptation for medical image analysis,
Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease,
Automated segmentation of mouse OCT volumes (ASiMOV): Validation & clinical study of a light damage model,
Automated Ventricle Parcellation and Evan’s Ratio Computation in Pre- and Post-Surgical Ventriculomegaly
+60 more
← Authored by 68
A Deep Learning Based Anti-aliasing Self Super-Resolution Algorithm for MRI,
Applications of a deep learning method for anti-aliasing and super-resolution in MRI,
Applying an Open-Source Segmentation Algorithm to Different OCT Devices in Multiple Sclerosis Patients and Healthy Controls: Implications for Clinical Trials,
A Supervoxel Based Random Forest Synthesis Framework for Bidirectional MR/CT Synthesis,
Autoencoder based self-supervised test-time adaptation for medical image analysis,
Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease,
Automated segmentation of mouse OCT volumes (ASiMOV): Validation & clinical study of a light damage model,
Automated Ventricle Parcellation and Evan’s Ratio Computation in Pre- and Post-Surgical Ventriculomegaly
+60 more
Affiliated with 4
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Summary
Aaron Carass is a human[1].