325 citations · 398 across the 13 of their papers we have counts for
18 papers
Leveraging Cost-effective Robotics for K-12 STEM Education through Water Quality Monitoring Tasks
Rishi Mukherjee, Andrew Ruiz, Travis Henderson +6
Engaging K-12 students in authentic scientific research remains a significant challenge, particularly at the intersection of environmental science and robotics. We introduce the Ja…
MDSkin-Net: Multi-Task Skin Lesion Analysis Driven by Pattern Analysis Priors and Spatial Alignment Regularization
Yijian Li, Saad Bedros, Paul Bigliardi +3
Reliable skin lesion segmentation and classification are central to dermoscopic computer-aided diagnosis. Existing multi-task frameworks couple the two tasks architecturally withou…
From Human Hands to Robotic Limbs: A Study in Motor Skill Embodiment for Telemanipulation
Haoyi Shi, Mingxi Su, Ted Morris +2
This paper presents a teleoperation system for controlling a redundant degree of freedom robot manipulator using human arm gestures. We propose a GRU-based Variational Autoencoder…
3D Reconstruction in Noisy Agricultural Environments: A Bayesian Optimization Perspective for View Planning
Athanasios Bacharis, Konstantinos D. Polyzos, Henry J. Nelson +2
3D reconstruction is a fundamental task in robotics that gained attention due to its major impact in a wide variety of practical settings, including agriculture, underwater, and ur…
The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT
Nicholas Heller, Fabian Isensee, Dasha Trofimova +42
This paper presents the challenge report for the 2021 Kidney and Kidney Tumor Segmentation Challenge (KiTS21) held in conjunction with the 2021 international conference on Medical…
Pre-Clustering Point Clouds of Crop Fields Using Scalable Methods
Henry J. Nelson, Nikolaos Papanikolopoulos
In order to apply the recent successes of machine learning and automated plant phenotyping on a large scale using agricultural robotics, efficient and general algorithms must be de…
Learning Log-Determinant Divergences for Positive Definite Matrices
Anoop Cherian, Panagiotis Stanitsas, Jue Wang +3
Representations in the form of Symmetric Positive Definite (SPD) matrices have been popularized in a variety of visual learning applications due to their demonstrated ability to ca…
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge
Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein +38
There is a large body of literature linking anatomic and geometric characteristics of kidney tumors to perioperative and oncologic outcomes. Semantic segmentation of these tumors a…
Design and Experiments with a Robot-Driven Underwater Holographic Microscope for Low-Cost In Situ Particle Measurements
Kevin Mallery, Dario Canelon, Jiarong Hong +1
Microscopic analysis of micro particles in situ in diverse water environments is necessary for monitoring water quality and localizing contamination sources. Conventional sensors s…
The Role of Publicly Available Data in MICCAI Papers from 2014 to 2018
Nicholas Heller, Jack Rickman, Christopher Weight +1
Widely-used public benchmarks are of huge importance to computer vision and machine learning research, especially with the computational resources required to reproduce state of th…
Estimating Pedestrian Moving State Based on Single 2D Body Pose
Zixing Wang, Nikolaos Papanikolopoulos
The Crossing or Not-Crossing (C/NC) problem is important to autonomous vehicles (AVs) for safe vehicle/pedestrian interactions. However, this problem setup often ignores pedestrian…
The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes
Nicholas Heller, Niranjan Sathianathen, Arveen Kalapara +17
The morphometry of a kidney tumor revealed by contrast-enhanced Computed Tomography (CT) imaging is an important factor in clinical decision making surrounding the lesion's diagnos…
Convolutional Neural Networks for Aircraft Noise Monitoring
Nicholas Heller, Derek Anderson, Matt Baker +2
Air travel is one of the fastest growing modes of transportation, however, the effects of aircraft noise on populations surrounding airports is hindering its growth. In an effort t…
Imperfect Segmentation Labels: How Much Do They Matter?
Nicholas Heller, Joshua Dean, Nikolaos Papanikolopoulos
Labeled datasets for semantic segmentation are imperfect, especially in medical imaging where borders are often subtle or ill-defined. Little work has been done to analyze the effe…
Learning Discriminative Alpha-Beta-divergence for Positive Definite Matrices (Extended Version)
Anoop Cherian, Panagiotis Stanitsas, Mehrtash Harandi +2
Symmetric positive definite (SPD) matrices are useful for capturing second-order statistics of visual data. To compare two SPD matrices, several measures are available, such as the…
Autonomous 3D Reconstruction Using a MAV
Alexander Popov, Dimitrios Zermas, Nikolaos Papanikolopoulos
An approach is proposed for high resolution 3D reconstruction of an object using a Micro Air Vehicle (MAV). A system is described which autonomously captures images and performs a…
Video Human Segmentation using Fuzzy Object Models and its Application to Body Pose Estimation of Toddlers for Behavior Studies
Thiago V. Spina, Mariano Tepper, Amy Esler +4
Video object segmentation is a challenging problem due to the presence of deformable, connected, and articulated objects, intra- and inter-object occlusions, object motion, and poo…
Computer vision tools for the non-invasive assessment of autism-related behavioral markers
Jordan Hashemi, Thiago Vallin Spina, Mariano Tepper +4
The early detection of developmental disorders is key to child outcome, allowing interventions to be initiated that promote development and improve prognosis. Research on autism sp…