Resha Tejpaul

The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Nicholas Heller, Niranjan Sathianathen, Arveen Kalapara et al. · arXiv (Cornell University) · 2019 · 328 citations · Full text

Engineering, Machine Learning, Digital Pathology +21

An international challenge to use artificial intelligence to define the state-of-the-art in kidney and kidney tumor segmentation in CT imaging.

Nicholas Heller, Sean McSweeney, Matthew Peterson et al. · Journal of Clinical Oncology · 2020 · 93 citations

Artificial Intelligence, Medical Image Segmentation, Engineering +23

Biomonitoring DNA Adducts of Cooked Meat Carcinogens in Human Prostate by Nano Liquid Chromatography–High Resolution Tandem Mass Spectrometry: Identification of 2-Amino-1-methyl-6-phenylimidazo[4,5-<i>b</i>]pyridine DNA Adduct

Shun Xiao, Jingshu Guo, Byeong Hwa Yun et al. · Analytical Chemistry · 2016 · 58 citations · Full text

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 Maier‐Hein et al. · Medical Image Analysis · 2020 · 55 citations · Full text

Computed Tomography, Urology, Medical Imaging +10

The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT

Nicholas Heller, Fabian Isensee, Dasha Trofimova et al. · arXiv (Cornell University) · 2023 · 32 citations · Full text

Data Annotation, Engineering, Renal Pathology +27