Projects
- DeepBrainDisco: Discovery of microarchitecture in brain imagery with deep learning
- Xray-ThC: A three-dimensional X-ray microtomography thalamocortical dataset for characterizing brain heterogeneity
- BrainSynth: Deep generative modeling for interpreting population-level variability in brain structure
Preprints
Journal Papers
- Prasad, J., Balwani, A., Johnson, E., Miano, J., Sampathkumar, V., De Andrade, V., … & Dyer, E. ““A three-dimensional thalamocortical dataset for characterizing brain heterogeneity.” Nature Scientific Data, 2020.
- Milligan K., Balwani A., Dyer E. “Brain Mapping at High Resolutions: Challenges and Opportunities.” Current Opinion in Biomedical Engineering, 2019.
- Lee T., Kumar A., Balwani A., Brittain D., Kinn S., Tovey C., Dyer E., da Costa N., Reid R., Forest C., Bumbarger D. “Large-scale neuroanatomy using LASSO: Loop based Automated Serial Sectioning Operation.” PloS one, 13.10, 2018.
Conference Papers
- Balwani A.†, Miano J.†, Liu R., Kitchell L., Prasad J., Johnson E., Gray-Roncal W., Dyer E. “Multi-Scale Modeling of Neural Structure in X-ray Imagery” to appear, IEEE International Conference on Image Processing (ICIP), 2021.
- Liu, R., Subakan, C., Balwani, A., Whitesell, J., Harris, J., Koyejo, S., & Dyer, E. “A generative modeling approach for interpreting population-level variability in brain structure.” International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020.
- Balwani, A., and Dyer E. “Modeling variability in brain architecture with deep feature learning.” 2019 53rd Asilomar Conference on Signals, Systems, and Computers. IEEE, 2019.
Workshop Papers & Peer-Reviewed Abstracts
- Balwani A., Dyer E. “Modeling Brain Microarchitecture with Deep Representation Learning.” (Poster), ML Interpretability for Scientific Discovery, ICML, 2020.
- Balwani A., Miano J., Prasad J., Dyer E. “Learning to Segment at Multiple Scales.” (Poster), BioImage Informatics, 2019.
- Milligan K., Balwani A., Maguire A., Margulies S., Dyer E. “Deep Learning for Characterization of Neuroinflammation in Traumatic Brain Injury.” (Poster), BioImage Informatics, 2019.