Infant media use: A harm reduction approach von Heller, N.A.

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3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images von Hong, Sungmin, Marinescu, Razvan, Dalca, Adrian V., Bonkhoff, Anna K., Bretzner, Martin, Rost, Natalia S., Golland, Polina

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Cascade UNets for Kidney and Kidney Tumor Segmentation von Koukoutegos, Konstantinos, Maes, Frederik, Bosmans, Hilde

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Polymer science in the prevention of air pollution von Gregor, H P, Heller, A N, Mark, H F

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The Application of Statistical Techniques to Sewage Treatment Processes von Fertig, John W., Heller, Austin N.

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2.5D Cascaded Semantic Segmentation for Kidney Tumor Cyst von Chen, Zhiwei, Liu, Hanqiang

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A Statistical Approach to Sewage Chlorination von Eliassen, Rolf, Heller, Austin N., Krieger, Herman L.

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The Effect of Chlorinated Hydrocarbons on Hydrogen Sulfide Production von Eliassen, Rolf, Heller, Austin N., Kisch, Gerhard, Van Kleeck, LeRoy W.

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Compound Figure Separation of Biomedical Images with Side Loss von Yao, Tianyuan, Qu, Chang, Liu, Quan, Deng, Ruining, Tian, Yuanhan, Xu, Jiachen, Jha, Aadarsh, Bao, Shunxing, Zhao, Mengyang, Fogo, Agnes B., Landman, Bennett A., Chang, Catie, Yang, Haichun, Huo, Yuankai

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Exploring 3D U-Net Training Configurations and Post-processing Strategies for the MICCAI 2023 Kidney and Tumor Segmentation Challenge von Uhm, Kwang-Hyun, Cho, Hyunjun, Xu, Zhixin, Lim, Seohoon, Jung, Seung-Won, Hong, Sung-Hoo, Ko, Sung-Jea

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Automated Kidney Tumor Segmentation with Convolution and Transformer Network von Shen, Zhiqiang, Yang, Hua, Zhang, Zhen, Zheng, Shaohua

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Kidney and Kidney Tumor Segmentation via Transfer Learning von Giorgi, Nozadze

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Genetic Algorithm Enhanced nnU-Net for the MICCAI KiTS23 Challenge von Li, Tao, Liu, Di, Yang, Bo, Li, Yifan, Zhen, Cheng

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Leveraging Uncertainty Estimation for Segmentation of Kidney, Kidney Tumor and Kidney Cysts von Salahuddin, Zohaib, Kuang, Sheng, Lambin, Philippe, Woodruff, Henry C.

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Advancing Kidney, Kidney Tumor, Cyst Segmentation: A Multi-Planner U-Net Approach for the KiTS23 Challenge von Pandey, Sumit, Toshali, Perslev, Mathias, Dam, Erik B.

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Recursive Learning Reinforced by Redefining the Train and Validation Volumes of an Encoder-Decoder Segmentation Model von Vispi, Antonio

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A Hybrid Network Based on nnU-Net and Swin Transformer for Kidney Tumor Segmentation von Qian, Lifei, Luo, Ling, Zhong, Yuanhong, Zhong, Daidi

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Two-Stage Segmentation and Ensemble Modeling: Kidney Tumor Analysis in CT Images von Lee, Soohyun, Won, Hyeyeon, Lee, Yeeun

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Cascade UNets for Kidney and Kidney Tumor Segmentation von Koukoutegos, Konstantinos, Maes, Frederik, Bosmans, Hilde

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A Deep Learning Approach for the Segmentation of Kidney, Tumor and Cyst in Computed Tomography Scans von Sahoo, Kartik Narayan, Punithakumar, Kumaradevan

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