Author of the publication

A B-spline image registration based CAD scheme to evaluate drug treatment response of ovarian cancer patients.

, , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97853D. SPIE, (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Virtual Adversarial Training for Semi-supervised Breast Mass Classification., , , , , , , , , and . CoRR, (2022)Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients., , , , , , , , , and . Comput. Methods Programs Biomed., (2020)A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images., , , , , and . Comput. Methods Programs Biomed., (2017)Developing a Novel Image Marker to Predict the Responses of Neoadjuvant Chemotherapy (NACT) for Ovarian Cancer Patients., , , , , , , , , and . CoRR, (2023)A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification., , , , , , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 1058116. SPIE, (2018)Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101343G. SPIE, (2017)Recent advances and clinical applications of deep learning in medical image analysis., , , , , , , , , and . Medical Image Anal., (2022)Recent advances and clinical applications of deep learning in medical image analysis., , , , , , , , , and 1 other author(s). CoRR, (2021)Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 1013449. SPIE, (2017)Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome., , , , , and . BMC Medical Imaging, (2016)