activity
20182020
most citedThe Effect of Video Playback Speed on Perception of Technical Skill in Robotic Surgery

1 citations · 1 across the 1 of their papers we have counts for

collaborators

6 papers

cs.HC20201 cited

The Effect of Video Playback Speed on Perception of Technical Skill in Robotic Surgery

Jason D Kelly, Nicholas Heller, Ashley Petersen +2

Purpose: Previous research has shown that obtaining non-expert crowd evaluations of surgical performances concords with the gold standard of expert surgeon review, and that faster…

eess.IV2019

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…

cs.LG2019

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…

q-bio.QM2019

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…

cs.CV2018

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…

cs.CV2018

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…