Akshay Pai
ScholarGPS® ID: 60803886200301
Affiliation History
Discipline
Computer Science
Top Specialties
Alzheimer's Disease | Medical Imaging | Dementia | Magnetic Resonance Imaging | Digital Imaging | Image Registration
Metrics Summary
Publication Count
51
Predicted Citations
769
Predicted h-index
13
Ranking
Publications and Citation History
Publications based on Top Specialties
Types of Publication
- Publications
- Books
- Patents
- NIH/NSF
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An Automatic DWI/FLAIR Mismatch Assessment of Stroke Patients (journal article) Diagnostics, volume 14, issue 1, pages 69- (2023). |
Artificial Intelligence for Automated DWI/FLAIR Mismatch Assessment on Magnetic Resonance Imaging in Stroke: A Systematic Review (journal article) Diagnostics, volume 13, issue 12, pages 2111- (2023). |
Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders (book chapter) In Medical Applications with Disentanglements Springer Nature Switzerland (2023) |
Automated Identification of Multiple Findings on Brain MRI for Improving Scan Acquisition and Interpretation Workflows: A Systematic Review (journal article) Diagnostics, volume 12, issue 8, pages 1878- (2022). |
Cross‐Cohort Automatic Knee MRI Segmentation With Multi‐Planar U‐Nets (journal article) Journal of Magnetic Resonance Imaging, volume 55, issue 6, pages 1650-1663 (2022). |
Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification (book chapter) In Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 Springer Nature Switzerland (2022) |
Radiology: Artificial Intelligence, volume 3, issue 3, pages e200078- (2021). |
Robust parametric modeling of Alzheimer’s disease progression (journal article) NeuroImage, volume 225 (2021). |
Disease progression modeling‐based prediction of cognitive decline (journal article) Alzheimer's & Dementia, volume 16, issue S4 (2020). |
Inflammatory pathway analytes predicting rapid cognitive decline in MCI stage of Alzheimer’s disease (journal article) Annals of Clinical and Translational Neurology, volume 7, issue 7, pages 1225-1239 (2020). |
Osteoarthritis and Cartilage, volume 28 (2020). |
Uncertainty Quantification in Medical Image Segmentation with Normalizing Flows (book chapter) In Machine Learning in Medical Imaging Springer International Publishing (2020) |
Alzheimer's & Dementia, volume 15, issue 7S_Part_27 (2019). |
Confidence Measures for Deep Learning in Domain Adaptation (journal article) Applied Sciences, volume 9, issue 11, pages 2192- (2019). |
Training recurrent neural networks robust to incomplete data: Application to Alzheimer’s disease progression modeling (journal article) Medical Image Analysis, volume 53 (2019). |
Validation of an open source, generic deep learning architecture for 3D MRI segmentation - with data from the OAI, PROOF, and CCBR (journal article) Osteoarthritis and Cartilage, volume 27 (2019). |
On the Initialization of Long Short-Term Memory Networks (book chapter) In Neural Information Processing Springer International Publishing (2019) |
Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning (book chapter) In Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data Springer International Publishing (2019) |
Knowledge Distillation for Semi-supervised Domain Adaptation (book chapter) In OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging Springer International Publishing (2019) |
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation (book chapter) In Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 Springer International Publishing (2019) |