325 citations · 398 across the 13 of their papers we have counts for
10 papers · 1 filter
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…
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…
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…
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…