- Clara Dacho, David Gabauer, David Brunner, Lukas Fischer:
2D nnUNet for classification and segmentation of anatomical structures in fetal torso ultrasound. Medical Imaging: Image Processing 2022 - Tudor Dascalu, Artem Kuznetsov, Bulat Ibragimov:
Benefits of auxiliary information in deep learning-based teeth segmentation. Medical Imaging: Image Processing 2022 - Rucha Deshpande, Mark A. Anastasio, Frank J. Brooks:
Evaluating the capacity of deep generative models to reproduce measurable high-order spatial arrangements in diagnostic images. Medical Imaging: Image Processing 2022 - James D. Dormer, Michael Villordon, Maysam Shahedi, Ka'Toria N. Leitch, Quyen N. Do, Yin Xi, Matthew A. Lewis, Ananth J. Madhuranthakam, Christina L. Herrera, Catherine Y. Spong, Diane M. Twickler, Baowei Fei:
CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum. Medical Imaging: Image Processing 2022 - Peiyu Duan, Shuo Han, Lianrui Zuo, Yang An, Yihao Liu, Ahmed Alshareef, Junghoon Lee, Aaron Carass, Susan M. Resnick, Jerry L. Prince:
Cranial meninges reconstruction based on convolutional networks and deformable models: applications to longitudinal study of normal aging. Medical Imaging: Image Processing 2022 - Chelsea A. S. Dunning, Kishore Rajendran, Joel G. Fletcher, Cynthia H. McCollough, Shuai Leng:
Impact of improved spatial resolution on radiomic features using photon-counting-detector CT. Medical Imaging: Image Processing 2022 - Audrey Duran, Gaspard Dussert, Carole Lartizien:
Learning to segment prostate cancer by aggressiveness from scribbles in bi-parametric MRI. Medical Imaging: Image Processing 2022 - Arkadiy Dushatskiy, Gerry Lowe, Peter A. N. Bosman, Tanja Alderliesten:
Data variation-aware medical image segmentation. Medical Imaging: Image Processing 2022 - Zong Fan, Varun A. Kelkar, Mark A. Anastasio, Hua Li:
Application of DatasetGAN in medical imaging: preliminary studies. Medical Imaging: Image Processing 2022 - Pengfei Fu, Yaping Wang, Jinyuan Shen, Xiujuan Geng:
Investigation of multi-cohort brain MRI segmentation in infants. Medical Imaging: Image Processing 2022 - Chenyu Gao, Linghao Jin, Jerry L. Prince, Aaron Carass:
Effects of defacing whole head MRI on neuroanalysis. Medical Imaging: Image Processing 2022 - Colin J. Gibbons, Jon D. Klingensmith:
MRI-derived cardiac fat modelling for use in ultrasound tissue labelling and classification. Medical Imaging: Image Processing 2022 - Jasper W. van der Graaf, Miranda L. van Hooff, Constantinus F. M. Buckens, Nikolas Lessmann:
Segmentation of vertebrae and intervertebral discs in lumbar spine MR images with iterative instance segmentation. Medical Imaging: Image Processing 2022 - Yuhao Guo, Bin Cai, Pengpeng Liang, Kaifeng Wang, Zhiyong Sun, Chi Xiong, Bo Song, Chaoshi Niu, Erkang Cheng:
Efficient network with ghost tied block for heart segmentation. Medical Imaging: Image Processing 2022 - Chao Guo, Weifang Zhu, Ting Wang, Tian Lin, Haoyu Chen, Xinjian Chen:
Retinal OCT image report generation based on visual and semantic topic attention model. Medical Imaging: Image Processing 2022 - Chao Guo, Weifang Zhu, Meng Wang, Ming Liu, Zhongyue Chen, Xinjian Chen:
Acute branch retinal artery occlusion segmentation based on Bayes posterior probability and deep learning. Medical Imaging: Image Processing 2022 - Chihiro Hattori, Daisuke Furukawa, Fukashi Yamazaki, Yasuko Fujisawa, Takuya Sakaguchi:
Centerline detection and estimation of pancreatic duct from abdominal CT images. Medical Imaging: Image Processing 2022 - Savannah Hays, Lianrui Zuo, Aaron Carass, Jerry L. Prince:
Evaluating the impact of MR image contrast on whole brain segmentation. Medical Imaging: Image Processing 2022 - Hellena Hempe, Eren Bora Yilmaz, Carsten Meyer, Mattias P. Heinrich:
Opportunistic CT screening for degenerative deformities and osteoporotic fractures with 3D DeepLab. Medical Imaging: Image Processing 2022 - William J. Herrera, Simone Appenzeller, Fabiano Reis, Danilo Pereira, Mariana P. Bento, Letícia Rittner:
Automated quality check of corpus callosum segmentation using deep learning. Medical Imaging: Image Processing 2022 - Rahul Hingorani, Nicole L. Brown, Christopher M. Cervantes, Robert H. Brown, Andrew S. Gearhart:
On characterizing the sensitivity of lung computed tomography biomarkers to registration error. Medical Imaging: Image Processing 2022 - Katharina Hoebel, Christopher P. Bridge, Andréanne Lemay, Ken Chang, Jay B. Patel, Bruce Rosen, Jayashree Kalpathy-Cramer:
Do I know this? segmentation uncertainty under domain shift. Medical Imaging: Image Processing 2022 - Dewei Hu, Yuankai K. Tao, Ipek Oguz:
Unsupervised denoising of retinal OCT with diffusion probabilistic model. Medical Imaging: Image Processing 2022 - Masaki Ikuta, Jun Zhang:
A deep recurrent neural network with primal-dual optimization for CT metal artifact reduction. Medical Imaging: Image Processing 2022 - Ilkin Isler, Curtis Lisle, Justin Rineer, Patrick Kelly, Damla Turgut, Jacob Ricci, Ulas Bagci:
Enhancing organ at risk segmentation with improved deep neural networks. Medical Imaging: Image Processing 2022 - Hayato Itoh, Masahiro Oda, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki, Kensaku Mori:
Substantia nigra analysis by tensor decomposition of T2-weighted images for Parkinson's disease diagnosis. Medical Imaging: Image Processing 2022 - Arash Javanmardi, Mahdi Hosseinzadeh, Ghasem Hajianfar, Amir Hossein Nabizadeh, Seyed Masoud Rezaeijo, Arman Rahmim, Mohammad R. Salmanpour:
Multi-modality fusion coupled with deep learning for improved outcome prediction in head and neck cancer. Medical Imaging: Image Processing 2022 - Jia Jia, Yaping Wang, Chenyu Yan:
BAA-Net: attention-based CNN for automatic placental segmentation of MR images. Medical Imaging: Image Processing 2022 - Chao Jin, Jayaram K. Udupa, Liming Zhao, Yubing Tong, Dewey Odhner, Gargi Pednekar, Sanghita Nag, Sharon Lewis, Nicholas Poole, Sutirth Mannikeri, Sudarshana Govindasamy, Aarushi Singh, Joe Camaratta, Steve Owens, Drew A. Torigian:
Anatomy-guided deep learning for object localization in medical images. Medical Imaging: Image Processing 2022 - Samuel Joutard, Reuben Dorent, Tom Vercauteren, Marc Modat:
A Pareto front based methodology to better assess medical image registration algorithms. Medical Imaging: Image Processing 2022