51 citations · 91 across the 18 of their papers we have counts for
19 papers
Meta-Learned Adaptive Optimization for Robust Human Mesh Recovery with Uncertainty-Aware Parameter Updates
Shaurjya Mandal, Nutan Sharma, John Galeotti
Human mesh recovery from single images remains challenging due to inherent depth ambiguity and limited generalization across domains. While recent methods combine regression and op…
Motion Informed Needle Segmentation in Ultrasound Images
Raghavv Goel, Cecilia Morales, Manpreet Singh +3
Segmenting a moving needle in ultrasound images is challenging due to the presence of artifacts, noise, and needle occlusion. This task becomes even more demanding in scenarios whe…
Unsupervised Deformable Image Registration for Respiratory Motion Compensation in Ultrasound Images
FNU Abhimanyu, Andrew L. Orekhov, John Galeotti +1
In this paper, we present a novel deep-learning model for deformable registration of ultrasound images and an unsupervised approach to training this model. Our network employs recu…
Unsupervised Deformable Ultrasound Image Registration and Its Application for Vessel Segmentation
FNU Abhimanyu, Andrew L. Orekhov, Ananya Bal +2
This paper presents a deep-learning model for deformable registration of ultrasound images at online rates, which we call U-RAFT. As its name suggests, U-RAFT is based on RAFT, a c…
Learning Generic Lung Ultrasound Biomarkers for Decoupling Feature Extraction from Downstream Tasks
Gautam Rajendrakumar Gare, Tom Fox, Pete Lowery +9
Contemporary artificial neural networks (ANN) are trained end-to-end, jointly learning both features and classifiers for the task of interest. Though enormously effective, this par…
Dense Pixel-Labeling for Reverse-Transfer and Diagnostic Learning on Lung Ultrasound for COVID-19 and Pneumonia Detection
Gautam Rajendrakumar Gare, Andrew Schoenling, Vipin Philip +4
We propose using a pre-trained segmentation model to perform diagnostic classification in order to achieve better generalization and interpretability, terming the technique reverse…
The Role of Pleura and Adipose in Lung Ultrasound AI
Gautam Rajendrakumar Gare, Wanwen Chen, Alex Ling Yu Hung +8
In this paper, we study the significance of the pleura and adipose tissue in lung ultrasound AI analysis. We highlight their more prominent appearance when using high-frequency lin…
Weakly Supervised Contrastive Learning for Better Severity Scoring of Lung Ultrasound
Gautam Rajendrakumar Gare, Hai V. Tran, Bennett P deBoisblanc +2
With the onset of the COVID-19 pandemic, ultrasound has emerged as an effective tool for bedside monitoring of patients. Due to this, a large amount of lung ultrasound scans have b…
Toward Robotically Automated Femoral Vascular Access
Nico Zevallos, Evan Harber, Abhimanyu +9
Advanced resuscitative technologies, such as Extra Corporeal Membrane Oxygenation (ECMO) cannulation or Resuscitative Endovascular Balloon Occlusion of the Aorta (REBOA), are techn…
Exploiting Class Similarity for Machine Learning with Confidence Labels and Projective Loss Functions
Gautam Rajendrakumar Gare, John Michael Galeotti
Class labels used for machine learning are relatable to each other, with certain class labels being more similar to each other than others (e.g. images of cats and dogs are more si…
A Study of Domain Generalization on Ultrasound-based Multi-Class Segmentation of Arteries, Veins, Ligaments, and Nerves Using Transfer Learning
Edward Chen, Tejas Sudharshan Mathai, Vinit Sarode +2
Identifying landmarks in the femoral area is crucial for ultrasound (US) -based robot-guided catheter insertion, and their presentation varies when imaged with different scanners.…
Good and Bad Boundaries in Ultrasound Compounding: Preserving Anatomic Boundaries While Suppressing Artifacts
Alex Ling Yu Hung, John Galeotti
Ultrasound 3D compounding is important for volumetric reconstruction, but as of yet there is no consensus on best practices for compounding. Ultrasound images depend on probe direc…
Weakly- and Semi-Supervised Probabilistic Segmentation and Quantification of Ultrasound Needle-Reverberation Artifacts to Allow Better AI Understanding of Tissue Beneath Needles
Alex Ling Yu Hung, Edward Chen, John Galeotti
Ultrasound image quality has continually been improving. However, when needles or other metallic objects are operating inside the tissue, the resulting reverberation artifacts can…
Ultrasound Confidence Maps of Intensity and Structure Based on Directed Acyclic Graphs and Artifact Models
Alex Ling Yu Hung, Wanwen Chen, John Galeotti
Ultrasound imaging has been improving, but continues to suffer from inherent artifacts that are challenging to model, such as attenuation, shadowing, diffraction, speckle, etc. The…
W-Net: Dense Semantic Segmentation of Subcutaneous Tissue in Ultrasound Images by Expanding U-Net to Incorporate Ultrasound RF Waveform Data
Gautam Rajendrakumar Gare, Jiayuan Li, Rohan Joshi +5
We present W-Net, a novel Convolution Neural Network (CNN) framework that employs raw ultrasound waveforms from each A-scan, typically referred to as ultrasound Radio Frequency (RF…
Accurate Tissue Interface Segmentation via Adversarial Pre-Segmentation of Anterior Segment OCT Images
Jiahong Ouyang, Tejas Sudharshan Mathai, Kira Lathrop +1
Optical Coherence Tomography (OCT) is an imaging modality that has been widely adopted for visualizing corneal, retinal and limbal tissue structure with micron resolution. It can b…
Learning to Segment Corneal Tissue Interfaces in OCT Images
Tejas Sudharshan Mathai, Kira Lathrop, John Galeotti
Accurate and repeatable delineation of corneal tissue interfaces is necessary for surgical planning during anterior segment interventions, such as Keratoplasty. Designing an approa…
Fast Vessel Segmentation and Tracking in Ultra High-Frequency Ultrasound Images
Tejas Sudharshan Mathai, Lingbo Jin, Vijay Gorantla +1
Ultra High Frequency Ultrasound (UHFUS) enables the visualization of highly deformable small and medium vessels in the hand. Intricate vessel-based measurements, such as intimal wa…
Improved deep learning based macromolecules structure classification from electron cryo tomograms
Chengqian Che, Ruogu Lin, Xiangrui Zeng +3
Cellular processes are governed by macromolecular complexes inside the cell. Study of the native structures of macromolecular complexes has been extremely difficult due to lack of…