activity
20182026
most citedUtilizing Smartphone-Based Machine Learning in Medical Monitor Data Collection: Seven Segment Digit Recognition

20 citations · 23 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Comp2Comp: Open-Source Software with FDA-Cleared Artificial Intelligence Algorithms for Computed Tomography Image Analysis

Adrit Rao, Malte Jensen, Andrea T. Fisher +28

Artificial intelligence allows automatic extraction of imaging biomarkers from already-acquired radiologic images. This paradigm of opportunistic imaging adds value to medical imag…

eess.IV2023

Studying the Impact of Augmentations on Medical Confidence Calibration

Adrit Rao, Joon-Young Lee, Oliver Aalami

The clinical explainability of convolutional neural networks (CNN) heavily relies on the joint interpretation of a model's predicted diagnostic label and associated confidence. A h…

eess.IV2021★ 1 cited

Studying the Effects of Self-Attention for Medical Image Analysis

Adrit Rao, Jongchan Park, Sanghyun Woo +2

When the trained physician interprets medical images, they understand the clinical importance of visual features. By applying cognitive attention, they apply greater focus onto cli…

cs.SD2021

Waveform Phasicity Prediction from Arterial Sounds through Spectrogram Analysis using Convolutional Neural Networks for Limb Perfusion Assessment

Adrit Rao, Kevin Battenfield, Oliver Aalami

Peripheral Arterial Disease (PAD) is a common form of arterial occlusive disease that is challenging to evaluate at the point-of-care. Hand-held dopplers are the most ubiquitous de…

cs.CV2018★ 20 cited

Utilizing Smartphone-Based Machine Learning in Medical Monitor Data Collection: Seven Segment Digit Recognition

Varun N. Shenoy, Oliver O. Aalami

Biometric measurements captured from medical devices, such as blood pressure gauges, glucose monitors, and weighing scales, are essential to tracking a patient's health. Trends in…

cs.CV2018★ 2 cited

Deepwound: Automated Postoperative Wound Assessment and Surgical Site Surveillance through Convolutional Neural Networks

Varun Shenoy, Elizabeth Foster, Lauren Aalami +2

Postoperative wound complications are a significant cause of expense for hospitals, doctors, and patients. Hence, an effective method to diagnose the onset of wound complications i…