Nicholas E Heller
Affiliations: | University of Minnesota, Twin Cities, Minneapolis, MN |
Area:
Computer Vision, Medical Imaging, Machine LearningGoogle:
"Nicholas Heller"
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Sathianathen NJ, Heller N, Tejpaul R, et al. (2022) Automatic Segmentation of Kidneys and Kidney Tumors: The KiTS19 International Challenge. Frontiers in Digital Health. 3: 797607 |
| Heller N, Isensee F, Maier-Hein KH, et al. (2020) The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge. Medical Image Analysis. 67: 101821 |
| Heller N, McSweeney S, Peterson MT, et al. (2020) An international challenge to use artificial intelligence to define the state-of-the-art in kidney and kidney tumor segmentation in CT imaging. Journal of Clinical Oncology. 38: 626-626 |
| Kleeman SO, Grant M, Rallis KS, et al. (2020) CT-based radiomic classifier of primary renal tumors to distinguish between metastatic and non-metastatic disease. Journal of Clinical Oncology. 38: 5074-5074 |
| Heller N, McSweeney S, Peterson M, et al. (2020) Mp42-11 An International Challenge To Use Artificial Intelligence To Define The State Of The Art In Kidney And Kidney Tumor Segmentation In Ct Imaging The Journal of Urology. 203 |
| Heller N, Kalapara A, Peterson S, et al. (2020) Mp21-09 A Comparison Of Estimation Methods For Renal Tumor Contact Surface Area The Journal of Urology. 203 |
| Heller N, Oestreich M, Kalapara A, et al. (2020) Mp21-11 Coarse Texture In Contrast-Enhanced Ct As A Predictor Of Renal Tumor Subtype And Grade The Journal of Urology. 203 |