Publications
Latest list of publications can be found on my Google Scholar.
IMIL: Interactive Medical Image Learning Framework Adrit Rao, Andrea Fisher, Ken Chang, John Christopher Panagides, Katherine McNamara, Joon-Young Lee, Oliver Aalami
2024 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Studying the Effects of Self-Attention for Medical Image Analysis Adrit Rao, Jongchan Park, Sanghyun Woo, Joon-Young Lee, Oliver Aalami
2021 IEEE/CVF International Conference on Computer Vision
A Standardized, Scalable, and Automated Open-source CT AAA Diameter Measurement Tool Using Deep Learning
Adrit Rao, Louis Blankemeier, Pauline Berens, Arash Fereydooni, Akshay Chaudhari, Oliver Aalami
2024 Journal of Vascular Surgery, Vol. 79, No. 6, pp. e249
Studying the Impact of Augmentations on Medical Confidence Calibration
Adrit Rao, Joon-Young Lee, Oliver Aalami
2023 Proceedings of the IEEE/CVF International Conference on Computer Vision
Development of the Next Generation Hand-Held Doppler with Waveform Phasicity Predictive Capabilities Using Deep Learning Adrit Rao, Akshay Chaudhari, Oliver Aalami
2021 MICCAI International Workshop on Clinical Image-Based Procedures
Towards improving the visual explainability of artificial intelligence in the clinical setting
Adrit Rao, Oliver Aalami
2023 BMC Digital Health, Vol. 1, No. 1, pp. 23
AutoABI: Feasibility of a Smartphone-Enabled ABI and Waveform Phasicity Prediction Model Using Machine Learning for Rapid Point-of-Care Limb Perfusion Assessment
Adrit Rao, Kevin G Battenfield, Arash Fereydooni, Oliver Aalami
2021 Vascular Annual Meeting (VAM), Journal of Vascular Surgery, Vol. 74, No. 3, pp. e182
The Value of Visual Attention for COVID-19 Classification in CT Scans
Adrit Rao, Jongchan Park, Oliver Aalami
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), pp. 433–438
Waveform Phasicity Prediction from Arterial Sounds through Spectrogram Analysis using Convolutional Neural Networks for Limb Perfusion Assessment Adrit Rao, Kevin Battenfield, Oliver Aalami
2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 462–466
Preliminary Clinical Validation Results of a Deep Learning Approach for Ankle Brachial Index Prediction in Noncompressible Tibial Vessels
Arash Fereydooni, Adrit Rao, Akshay Chaudhari, Kevin Battenfield, Oliver Aalami
2022 Journal of Vascular Surgery, Vol. 76, No. 4, pp. e85
Increasing the Accessibility of Peripheral Artery Disease Screening with Deep Learning Adrit Rao, Oliver Aalami
2022 MICCAI International Workshop on Applications of Medical Artificial Intelligence
LLM on FHIR–Demystifying Health Records
Paul Schmiedmayer, Adrit Rao, Philipp Zagar, Vishnu Ravi, Aydin Zahedivash, Arash Fereydooni, Oliver Aalami
2024 arXiv preprint arXiv:2402.01711
Comp2Comp: Open-Source Body Composition Assessment on Computed Tomography
Louis Blankemeier, Malte Jensen, Eduardo Pontes Reis, Juan Manuel Zambrano Chaves, Adrit Rao, Sally Yao, Pauline Margaret Berens, Andrew Wentland, Bhanushree Bahl, Kushboo Arora, et al.
2023 Medical Imaging with Deep Learning, short paper track
Accessible artificial intelligence for ophthalmologists Adrit Rao, Harvey A Fishman
2022 Nature Eye Journal, Vol. 36, No. 1
Computationally Efficient Deep Learning Applied to Glaucoma Eye Drop Bottle Detection for Increasing Medication Compliance in Low-Vision Patients
Adrit Rao, Harvey Fishman
2022 Investigative Ophthalmology & Visual Science, Vol. 63, No. 7, pp. 2044–A0485
OCTAI: Smartphone-based Optical Coherence Tomography Image Analysis System
Adrit Rao, Harvey A Fishman
2021 IEEE World AI IoT Congress (AIIoT), pp. 0072–0076