N. Shusharina

发表

Vision 20/20: perspectives on automated image segmentation for radiotherapy.

G. Sharp, M. Peroni, V. Pekar, 2014, Medical physics.

The role of computational methods for automating and improving clinical target volume definition.

Robert Jeraj, Nadya Shusharina, Thomas Bortfeld, 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Correlation of (18)F-FDG avid volumes on pre-radiation therapy and post-radiation therapy FDG PET scans in recurrent lung cancer.

G. Sharp, N. Choi, N. Shusharina, 2014, International journal of radiation oncology, biology, physics.

ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-Training

C.-C. Jay Kuo, G. Fakhri, Fangxu Xing, 2022, 2206.02288.

ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training

C.-C. Jay Kuo, G. Fakhri, Xiaofeng Liu, 2022, ArXiv.

Feasibility study of clinical target volume definition for soft-tissue sarcoma using muscle fiber orientations derived from diffusion tensor imaging

T. Bortfeld, G. Fakhri, G. El Fakhri, 2022, Physics in medicine and biology.

ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training

C.-C. Jay Kuo, G. Fakhri, Xiaofeng Liu, 2022, MICCAI.

Perspectives on the model-based approach to proton therapy trials: A retrospective study of a lung cancer randomized trial.

R. Mohan, Z. Liao, H. Paganetti, 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Correlation of 18F-FDG PET avid volumes on pre-radiation therapy and post-radiation therapy FDG PET scans in recurrent lung cancer. In reply to Saraiya et al.

G. Sharp, N. Choi, N. Shusharina, 2014, International journal of radiation oncology, biology, physics.

Impact of aeration change and beam arrangement on the robustness of proton plans

G. Sharp, B. Fullerton, N. Shusharina, 2019, Journal of applied clinical medical physics.

Automated delineation of the clinical target volume using anatomically constrained 3D expansion of the gross tumor volume.

Nadya Shusharina, Thomas Bortfeld, Jonas Söderberg, 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Neural network based ensemble model to predict radiation induced lymphopenia after concurrent chemo-radiotherapy for non-small cell lung cancer from two institutions

Jin Sung Kim, R. Mohan, Steven H. Lin, 2023, Neoplasia.

Accounting for uncertainties in the position of anatomical barriers used to define the clinical target volume

T. Bortfeld, H. Shih, M. Niyazi, 2021, Physics in medicine and biology.

Modeling inter and intra observer variability of GTV contouring using deep learning

Fangxu, K. Grogg, G. Fakhri, 2021 .

Probabilistic definition of the clinical target volume—implications for tumor control probability modeling and optimization

Nadya Shusharina, Thomas Bortfeld, David L Craft, 2020, Physics in medicine and biology.

Differences in lung injury after IMRT or proton therapy assessed by 18FDG PET imaging.

T. Bortfeld, R. Mohan, A. Niemierko, 2018, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

The distance discordance metric---a novel approach to quantifying spatial uncertainties in intra-and inter-patient deformable image registration

Ya Wang, Harini Veeraraghavan, Gregory C Sharp, 2016 .