| 2022 | 2D nnUNet for classification and segmentation of anatomical structures in fetal torso ultrasound. Clara Dacho, David Gabauer, David Brunner, Lukas Fischer |
| 2022 | 3D PET image generation with tumour masks using TGAN. Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Ivan S. Klyuzhin, Arman Rahmim, Raymond T. Ng |
| 2022 | 3D deep neural network to automatically identify TSC structural brain pathology based on MRI. Mahdieh Shabanian, Abdullah-Al-Zubaer Imran, Adeel Siddiqui, Robert L. Davis, John J. Bissler |
| 2022 | A Pareto front based methodology to better assess medical image registration algorithms. Samuel Joutard, Reuben Dorent, Tom Vercauteren, Marc Modat |
| 2022 | A benchmark of denoising digital breast tomosynthesis in projection domain: neural network-based and traditional methods. Darlan M. Nakamura de Araújo, Denis H. P. Salvadeo, Davi D. de Paula |
| 2022 | A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma. Shadab Ahamed, Natalia Dubljevic, Ingrid Bloise, Claire Gowdy, Patrick Martineau, Don Wilson, Carlos F. Uribe, Arman Rahmim, Fereshteh Yousefirizi |
| 2022 | A convolutional neural network based super resolution technique of CT image utilizing both sinogram domain and image domain data. Minwoo Yu, Minah Han, Jongduk Baek |
| 2022 | A deep kernel method for PET image reconstruction. Siqi Li, Guobao Wang |
| 2022 | A deep learning approach to transform two orthogonal X-ray images to volumetric images for image-guided proton therapy. Chih-Wei Chang, Yang Lei, Tonghe Wang, Jun Zhou, Liyong Lin, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang |
| 2022 | A deep recurrent neural network with primal-dual optimization for CT metal artifact reduction. Masaki Ikuta, Jun Zhang |
| 2022 | A distribution-based method for thermal damage model analysis and optimization in brain laser interstitial thermal therapy. Libin Liang, Tingting Gao, Hui Ding, Guangzhi Wang |
| 2022 | A multimodal variational autoencoder for estimating progression scores from imaging and microRNA data in rare neurodegenerative diseases. Virgilio Kmetzsch, Emmanuelle Becker, Dario Saracino, Vincent Anquetil, Daisy Rinaldi, Agnès Camuzat, Thomas Gareau, Isabelle Le Ber, Olivier Colliot |
| 2022 | A novel approach to form normal distribution of medical image segmentation based on multiple doctors' annotations. Zicong Zhou, Guojun Liao |
| 2022 | Accelerating 2D abdominal organ segmentation with active learning. Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman |
| 2022 | Active shape models with locally weighted components. Rueben A. Banalagay, Jack H. Noble |
| 2022 | Acute branch retinal artery occlusion segmentation based on Bayes posterior probability and deep learning. Chao Guo, Weifang Zhu, Meng Wang, Ming Liu, Zhongyue Chen, Xinjian Chen |
| 2022 | Adding patient motion from DCE-MRI to anthropomorphic phantoms for dedicated breast CT. Mikhail Mikerov, Koen Michielsen, Nikita Moriakov, Ioannis Sechopoulos |
| 2022 | An anatomy-based iteratively searching convolutional neural network for organ localization in CT images. Tiange Liu, Meng Tan, Yubing Tong, Drew A. Torigian, Jayaram K. Udupa |
| 2022 | Anatomy-guided deep learning for object localization in medical images. 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 |
| 2022 | Application of DatasetGAN in medical imaging: preliminary studies. Zong Fan, Varun A. Kelkar, Mark A. Anastasio, Hua Li |
| 2022 | Automated fractured femur segmentation using CNN. Jared Vicory, Pranjal Sahu, Hwabok Wee, Hannah Nam, Avani Chopra, Spence Reid, Gregory S. Lewis, Sreekanth Arikatla |
| 2022 | Automated macular OCT retinal surface segmentation in cases of severe glaucoma using deep learning. Hui Xie, Jui-Kai Wang, Randy H. Kardon, Mona Kathryn Garvin, Xiaodong Wu |
| 2022 | Automated quality check of corpus callosum segmentation using deep learning. William J. Herrera, Simone Appenzeller, Fabiano Reis, Danilo Pereira, Mariana P. Bento, Letícia Rittner |
| 2022 | Automatic 2D to 3D localization of histological mouse brain sections in the reference atlas using deep learning. Maryam Sadeghi, Pedro Neto, Arnau Ramos-Prats, Federico Castaldi, Enrica Paradiso, Naghmeh Mahmoodian, Francesco Ferraguti, Georg Göbel |
| 2022 | Automatic classification of MRI contrasts using a deep Siamese network and one-shot learning. Yi-Yu Chou, Samuel W. Remedios, John A. Butman, Dzung L. Pham |
| 2022 | Automatic lung segmentation in dynamic thoracic MRI using two-stage deep convolutional neural networks. Lipeng Xie, Jayaram K. Udupa, Yubing Tong, Joseph M. McDonough, Caiyun Wu, Carina Lott, Jason B. Anari, Patrick J. Cahill, Drew A. Torigian |
| 2022 | Axial multi-layer perceptron architecture for automatic segmentation of choroid plexus in multiple sclerosis. Marius Schmidt-Mengin, Vito A. G. Ricigliano, Benedetta Bodini, Emanuele Morena, Annalisa Colombi, Maryem Hamzaoui, Arya Yazdan Panah, Bruno Stankoff, Olivier Colliot |
| 2022 | BAA-Net: attention-based CNN for automatic placental segmentation of MR images. Jia Jia, Yaping Wang, Chenyu Yan |
| 2022 | BDG-Net: boundary distribution guided network for accurate polyp segmentation. Zihuan Qiu, Zhichuan Wang, Miaomiao Zhang, Ziyong Xu, Jie Fan, Linfeng Xu |
| 2022 | Benefits of auxiliary information in deep learning-based teeth segmentation. Tudor Dascalu, Artem Kuznetsov, Bulat Ibragimov |
| 2022 | Bridging the domain gap for medical image segmentation with multimodal MIND features. Christian N. Kruse, Mattias P. Heinrich |
| 2022 | C-MADA: unsupervised cross-modality adversarial domain adaptation framework for medical image segmentation. Maria G. Baldeon Calisto, Susana K. Lai-Yuen |
| 2022 | CNN-based pose estimation for assessing quality of ankle-joint X-ray images. Sven Krönke, Jens von Berg, Matthias Brück, Daniel Bystrov, André Gooßen, Tim Harder, Bernd Lundt, Jan Marek May, Nataly Wieberneit, Tobias Wissel, Omar Hertgers, Hildo J. Lamb, Stewart Young |
| 2022 | COVID-19 lesion segmentation using convolutional LSTM for self-attention. Aditya Killekar, Kajetan Grodecki, Andrew Lin, Sebastien Cadet, Priscilla McElhinney, Aryabod Razipour, Cato Chan, Barry D. Pressman, Peter Julien, Peter Chen, Judit Simon, Nitesh Nerlekar, Pál Maurovich-Horvat, Nicola Gaibazzi, Udit Thakur, Maria Elisabetta Mancini, Cecilia Agalbato, Jiro Munechika, Hidenari Matsumoto, Roberto Menè, Damini Dey, Gianfranco Parati, Franco Cernigliaro, Camilla Torlasco, Gianluca Pontone, Piotr J. Slomka |
| 2022 | Calcium scoring in low-dose ungated chest CT scans using convolutional long-short term memory networks. Konrad Pieszko, Aakash D. Shanbhag, Aditya Killekar, Mark Lemley, Yuka Otaki, Serge D. Van Kriekinge, Paul Kavanagh, Robert J. H. Miller, Edward J. Miller, Timothy M. Bateman, Damini Dey, Daniel S. Berman, Piotr J. Slomka |
| 2022 | CaraNet: context axial reverse attention network for segmentation of small medical objects. Ange Lou, Shuyue Guan, Hanseok Ko, Murray H. Loew |
| 2022 | CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum. 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 |
| 2022 | Centerline detection and estimation of pancreatic duct from abdominal CT images. Chihiro Hattori, Daisuke Furukawa, Fukashi Yamazaki, Yasuko Fujisawa, Takuya Sakaguchi |
| 2022 | Classification of global microglia proliferation based on deep learning with local images. Hunter Morera, Palak Dave, Yaroslav Kolinko, Kurtis Allen, Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton |
| 2022 | Coarse-to-fine cascade framework for cross-modality super-resolution on clinical/micro CT dataset. Tong Zheng, Hirohisa Oda, Yuichiro Hayashi, Shota Nakamura, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Masahiro Oda, Kensaku Mori |
| 2022 | Comparing Bayesian models for organ contouring in head and neck radiotherapy. Prerak Mody, Nicolas F. Chaves-de-Plaza, Klaus Hildebrandt, René van Egmond, Huib de Ridder, Marius Staring |
| 2022 | Context in medical imaging: the case of focal liver lesion classification. Moshe Raboh, Dana Levanony, Paul Dufort, Arkadiusz Sitek |
| 2022 | Convolutional neural network with a hybrid loss function for fully automated segmentation of lymphoma lesions in FDG PET images. Fereshteh Yousefirizi, Natalia Dubljevic, Shadab Ahamed, Ingrid Bloise, Claire Gowdy, Joo Hyun O, Youssef Farag, Rodrigue de Schaetzen, Patrick Martineau, Don Wilson, Carlos F. Uribe, Arman Rahmim |
| 2022 | Cranial meninges reconstruction based on convolutional networks and deformable models: applications to longitudinal study of normal aging. Peiyu Duan, Shuo Han, Lianrui Zuo, Yang An, Yihao Liu, Ahmed Alshareef, Junghoon Lee, Aaron Carass, Susan M. Resnick, Jerry L. Prince |
| 2022 | Data variation-aware medical image segmentation. Arkadiy Dushatskiy, Gerry Lowe, Peter A. N. Bosman, Tanja Alderliesten |
| 2022 | Deep learning-based breast tissue segmentation in digital mammography: generalization across views and vendors. Sarah D. Verboom, Marco Caballo, Mireille J. M. Broeders, Jonas Teuwen, Ioannis Sechopoulos |
| 2022 | Deep variational clustering framework for self-labeling large-scale medical images. Farzin Soleymani, Mohammad Eslami, Tobias Elze, Bernd Bischl, Mina Rezaei |
| 2022 | Deep-e: a fully-dense neural network for improving the elevation resolution in linear-array-based photoacoustic tomography. Huijuan Zhang, Wei Bo, Depeng Wang, Anthony DiSpirito III, Chuqin Huang, Nikhila Nyayapathi, Emily Zheng, Tri Vu, Yiyang Gong, Junjie Yao, Wenyao Xu, Jun Xia |
| 2022 | Deep-learning-based carotid artery vessel wall segmentation in black-blood MRI using anatomical priors. Dieuwertje Alblas, Christoph Brune, Jelmer M. Wolterink |
| 2022 | Deep-learning-based markerless tumor localization using 2D KV/MV image. Yang Lei, Zhen Tian, Richard L. J. Qiu, Tonghe Wang, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang |
| 2022 | Direct and indirect image rotation estimation methods of orthopedic x-ray images. Holger Kunze, Florian Kordon, Andreas Maier, Katharina Breininger |
| 2022 | Displacement retrieval for speckle-based X-ray phase-contrast imaging using a convolutional neural network. Serena Z. Shi, Nadav Shapira, Peter B. Noël, Sebastian Meyer |
| 2022 | Do I know this? segmentation uncertainty under domain shift. Katharina Hoebel, Christopher P. Bridge, Andréanne Lemay, Ken Chang, Jay B. Patel, Bruce Rosen, Jayashree Kalpathy-Cramer |
| 2022 | Effective hyperparameter optimization with proxy data for multi-organ segmentation. Chen Shen, Holger R. Roth, Vishwesh Nath, Yuichiro Hayashi, Masahiro Oda, Kazunari Misawa, Kensaku Mori |
| 2022 | Effects of defacing whole head MRI on neuroanalysis. Chenyu Gao, Linghao Jin, Jerry L. Prince, Aaron Carass |
| 2022 | Efficient network with ghost tied block for heart segmentation. Yuhao Guo, Bin Cai, Pengpeng Liang, Kaifeng Wang, Zhiyong Sun, Chi Xiong, Bo Song, Chaoshi Niu, Erkang Cheng |
| 2022 | Efficient quality control with mixed CT and CTA datasets. Lucas W. Remedios, Leon Y. Cai, Colin B. Hansen, Samuel W. Remedios, Bennett A. Landman |
| 2022 | Emerging clinical applications of medical extended reality (MXR). Jennifer N. Avari Silva |
| 2022 | Enhancing organ at risk segmentation with improved deep neural networks. Ilkin Isler, Curtis Lisle, Justin Rineer, Patrick Kelly, Damla Turgut, Jacob Ricci, Ulas Bagci |
| 2022 | Evaluating neural network robustness for melanoma classification using mutual information. Molly O'Brien, Julia V. Bukowski, Greg Hager, Aria Pezeshk, Mathias Unberath |
| 2022 | Evaluating the capacity of deep generative models to reproduce measurable high-order spatial arrangements in diagnostic images. Rucha Deshpande, Mark A. Anastasio, Frank J. Brooks |
| 2022 | Evaluating the impact of MR image contrast on whole brain segmentation. Savannah Hays, Lianrui Zuo, Aaron Carass, Jerry L. Prince |
| 2022 | Evaluating the impact of MR image harmonization on thalamus deep network segmentation. Muhan Shao, Lianrui Zuo, Aaron Carass, Jiachen Zhuo, Rao P. Gullapalli, Jerry L. Prince |
| 2022 | Evaluating transformer-based semantic segmentation networks for pathological image segmentation. Cam Nguyen, Zuhayr Asad, Ruining Deng, Yuankai Huo |
| 2022 | Explainable artificial-intelligence for diagnosis and risk estimation from cardiovascular images. Piotr J. Slomka |
| 2022 | Extending the value of routine lung screening CT with quantitative body composition assessment. Kaiwen Xu, Riqiang Gao, Yucheng Tang, Steve A. Deppen, Kim L. Sandler, Michael N. Kammer, Sanja L. Antic, Fabien Maldonado, Yuankai Huo, Mirza S. Khan, Bennett A. Landman |
| 2022 | Fetal head circumference delineation using convolutional neural networks with registration-based ellipse fitting. Helena R. Torres, Bruno Oliveira, Pedro Morais, Anne Fritze, Cahit Birdir, Mario Rüdiger, Jaime C. Fonseca, João L. Vilaça |
| 2022 | Fully automated multi-heartbeat echocardiography video segmentation and motion tracking. Yida Chen, Xiaoyan Zhang, Christopher M. Haggerty, Joshua V. Stough |
| 2022 | Gaze-based attention to improve the classification of lung diseases. Maksim Kholiavchenko, Ilya Pershin, Bulat Maksudov, Tamerlan Mustafaev, Yixuan Yuan, Bulat Ibragimov |
| 2022 | Generative adversarial network for coronary artery plaque synthesis in coronary CT angiography. Zhiwei Zhai, Yining Wang, Bob D. de Vos, Julia M. H. Noothout, Nils Planken, Ivana Isgum |
| 2022 | Graph interaction for automated diagnosis of thoracic disease using x-ray images. Bumjun Jung, Lin Gu, Tatsuya Harada |
| 2022 | Homogenization of brain MRI from a clinical data warehouse using contrast-enhanced to non-contrast-enhanced image translation with U-Net derived models. Simona Bottani, Elina Thibeau-Sutre, Aurélien Maire, Sebastian Ströer, Didier Dormont, Olivier Colliot, Ninon Burgos |
| 2022 | Human brain extraction with deep learning. Hao Li, Qibang Zhu, Dewei Hu, Manasvi R. Gunnala, Hans J. Johnson, Omar Sherbini, Francesco Gavazzi, Russell D'Aiello, Adeline Vanderver, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz |
| 2022 | Image quality assessment of chest CT scans used in functional respiratory imaging. Stien Van Steen, Dimitar Petrov, Rik Godon, Stijn Bonte, Hilde Bosmans |
| 2022 | Impact of improved spatial resolution on radiomic features using photon-counting-detector CT. Chelsea A. S. Dunning, Kishore Rajendran, Joel G. Fletcher, Cynthia H. McCollough, Shuai Leng |
| 2022 | Improving automated intracranial artery labeling using atlas-based features in graph convolutional nets. Iris N. Vos, Ynte M. Ruigrok, Kimberley M. Timmins, Birgitta K. Velthuis, Hugo J. Kuijf |
| 2022 | Improving deep learning based liver vessel segmentation using automated connectivity analysis. Felix Thielke, Farina Kock, Annika Hänsch, Joachim Georgii, Nasreddin Abolmaali, Itaru Endo, Hans Meine, Andrea Schenk |
| 2022 | Infant brain age classification: 2D CNN outperforms 3D CNN in small dataset. Mahdieh Shabanian, Markus T. Wenzel, John P. DeVincenzo |
| 2022 | Integrate memory efficiency methods for self-supervised learning on pathological image analysis. Quan Liu, Bryan A. Millis, Zuhayr Asad, Can Cui, William F. Dean, Isabelle T. Smith, Christopher Madden, Joseph T. Roland, Jeffrey P. Zwerner, Shilin Zhao, Lee E. Wheless, Yuankai Huo |
| 2022 | Interactive deep learning for explainable retinal disease classification. Mariana Vasquez, Suhev Shakya, Ian Wang, Jacob Furst, Roselyne Tchoua, Daniela Raicu |
| 2022 | Investigation of multi-cohort brain MRI segmentation in infants. Pengfei Fu, Yaping Wang, Jinyuan Shen, Xiujuan Geng |
| 2022 | Iterative material decomposition with gradient L0-norm minimization for dual-energy CT. Qian Wang, Huiqiao Xie, Tonghe Wang, Justin Roper, Xiangyang Tang, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang |
| 2022 | Joint independent component analysis for hypothesizing spatiotemporal relationships between longitudinal gray and white matter changes in preclinical Alzheimer's disease. Leon Y. Cai, Francois Rheault, Cailey I. Kerley, Katherine S. Aboud, Lori L. Beason-Held, Andrea T. Shafer, Susan M. Resnick, Lori C. Jordan, Adam W. Anderson, Kurt G. Schilling, Bennett A. Landman |
| 2022 | Learning to segment cell nuclei in phase-contrast microscopy from fluorescence images for drug discovery. Hana Mertanová, Jan Kybic, Jarmila Stanková, Petr Dzubák, Marián Hajdúch |
| 2022 | Learning to segment prostate cancer by aggressiveness from scribbles in bi-parametric MRI. Audrey Duran, Gaspard Dussert, Carole Lartizien |
| 2022 | LitCall: learning implicit topology for CNN-based aortic landmark localization. Zhangxing Bian, Jiayang Zhong, Yanglong Lu, Chuck R. Hatt, Nicholas S. Burris |
| 2022 | Longitudinal changes of connectomes and graph theory measures in aging. Yuzhe Wang, Francois Rheault, Kurt G. Schilling, Lori L. Beason-Held, Andrea T. Shafer, Susan M. Resnick, Bennett A. Landman |
| 2022 | MRI-derived cardiac fat modelling for use in ultrasound tissue labelling and classification. Colin J. Gibbons, Jon D. Klingensmith |
| 2022 | Mapping pediatric spinal cord development with age. Ashwin Kumar, Simon N. Vandekar, Kurt Schilling, Aashim Bhatia, Bennett A. Landman, Seth A. Smith |
| 2022 | Mapping the impact of non-linear gradient fields on diffusion MRI tensor estimation. Praitayini Kanakaraj, Colin B. Hansen, Francois Rheault, Leon Y. Cai, Karthik Ramadass, Baxter P. Rogers, Kurt G. Schilling, Bennett A. Landman |
| 2022 | Measuring strain in diffusion-weighted data using tagged magnetic resonance imaging. Fangxu Xing, Xiaofeng Liu, Timothy G. Reese, Maureen Stone, Van J. Wedeen, Jerry L. Prince, Georges El Fakhri, Jonghye Woo |
| 2022 | MedRegNet: unsupervised multimodal retinal-image registration with GANs and ranking loss. Monty Santarossa, Ayse Kilic, Claus von der Burchard, Lars Schmarje, Claudius Zelenka, Stefan Reinhold, Reinhard Koch, Johann Roider |
| 2022 | Medical Imaging 2022: Image Processing, San Diego, CA, USA, February 20-24, 2022 / Online, March 21-27, 2022 Olivier Colliot, Ivana Isgum, Bennett A. Landman, Murray H. Loew |
| 2022 | Mixed-block neural architecture search for medical image segmentation. Martijn M. A. Bosma, Arkadiy Dushatskiy, Monika Grewal, Tanja Alderliesten, Peter A. N. Bosman |
| 2022 | Motion correction in retinal optical coherence tomography imaging using deep learning registration. Konstantinos Ntatsis, Luisa Sánchez Brea, Danilo Andrade De Jesus, João Barbosa Breda, Theo van Walsum, Edwin Bennink, Stefan Klein |
| 2022 | Mouse brain extraction using 2-Stage CNNs. Yeun Kim, Evelyn Malamut, Cassandra E. Meyer, Allan MacKenzie-Graham, David W. Shattuck |
| 2022 | Multi-agent reinforcement learning pipeline for anatomical landmark detection in minipigs. Michal Brzus, Alexander B. Powers, Kevin Knoernschild, Jessica C. Sieren, Hans J. Johnson |
| 2022 | Multi-modality fusion coupled with deep learning for improved outcome prediction in head and neck cancer. Arash Javanmardi, Mahdi Hosseinzadeh, Ghasem Hajianfar, Amir Hossein Nabizadeh, Seyed Masoud Rezaeijo, Arman Rahmim, Mohammad R. Salmanpour |
| 2022 | Multi-objective dual simplex-mesh based deformable image registration for 3D medical images - proof of concept. Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten |
| 2022 | Multi-scale sparse representation-based shadow inpainting for retinal OCT images. Yaoqi Tang, Yufan Li, Hongshan Liu, Jiaxuan Li, Peiyao Jin, Yu Gan, Yuye Ling, Yikai Su |
| 2022 | Multi-view-based automatic method for multiple diseases screening in retinal OCT images. Ting Wang, Weifang Zhu, Meng Wang, Lianyu Wang, Zhongyue Chen, Tian Lin, Haoyu Chen, Xinjian Chen |
| 2022 | Multimodal neuroimaging in pediatric type 1 diabetes: a pilot multisite feasibility study of acquisition quality, motion, and variability. Leon Y. Cai, Costin Tanase, Adam W. Anderson, Karthik Ramadass, Francois Rheault, Chelsea A. Lee, Niral J. Patel, Sky Jones, Lauren M. LeStourgeon, Alix Mahon, Sumit Pruthi, Kriti Gwal, Arzu Ozturk, Hakmook Kang, Nicole Glaser, Simona Ghetti, Sarah S. Jaser, Lori C. Jordan, Bennett A. Landman |
| 2022 | Non-rigid registration of temporal live cell microscopy image sequences using deep learning. Wenzhe Yin, Vadim O. Chagin, M. Cristina Cardoso, Karl Rohr |
| 2022 | Normalization techniques for CNN based analysis of surgical cone beam CT volumes. Celia Martín Vicario, Florian Kordon, Felix Denzinger, Jan Siad El Barbari, Maxim Privalov, Jochen Franke, Andreas Maier, Holger Kunze |
| 2022 | Novel dataset and evaluation of state-of-the-art vessel segmentation methods. Ziga Bizjak, Aichi Chien, Iza Burnik, Ziga Spiclin |
| 2022 | On characterizing the sensitivity of lung computed tomography biomarkers to registration error. Rahul Hingorani, Nicole L. Brown, Christopher M. Cervantes, Robert H. Brown, Andrew S. Gearhart |
| 2022 | Opportunistic CT screening for degenerative deformities and osteoporotic fractures with 3D DeepLab. Hellena Hempe, Eren Bora Yilmaz, Carsten Meyer, Mattias P. Heinrich |
| 2022 | Parotid gland segmentation with nnU-Net: deployment scenario and inter-observer variability analysis. Gasper Podobnik, Primoz Strojan, Primoz Peterlin, Bulat Ibragimov, Tomaz Vrtovec |
| 2022 | Perceptually improved T1-T2 MRI translations using conditional generative adversarial networks. Anurag Vaidya, Joshua V. Stough, Aalpen A. Patel |
| 2022 | Performance analysis in serial-section electron microscopy image registration of neuronal tissue. Bohao Chen, Tong Xin, Hua Han, Xi Chen |
| 2022 | Progressive GANomaly: anomaly detection with progressively growing GANs. Djennifer K. Madzia-Madzou, Hugo J. Kuijf |
| 2022 | Quantification of muscle, bones, and fat on single slice thigh CT. Qi Yang, Xin Yu, Ho Hin Lee, Yucheng Tang, Shunxing Bao, Kristofer S. Gravenstein, Ann Zenobia Moore, Sokratis Makrogiannis, Luigi Ferrucci, Bennett A. Landman |
| 2022 | Reconstruction of visual stimulus from the EEG recordings via generative adversarial network. Rahul Mishra, Krishan Sharma, Arnav Bhavsar |
| 2022 | Retinal OCT image report generation based on visual and semantic topic attention model. Chao Guo, Weifang Zhu, Ting Wang, Tian Lin, Haoyu Chen, Xinjian Chen |
| 2022 | SCU-Net: shape constraint U-Net for prostate segmentation in MR images. Yang Zhao, Ke Lu, Jian Xue, Bin Huang, Haiyi Wang, Huan Wu, Yifei Wang |
| 2022 | Segmentation of kidney stones in endoscopic video feeds. Zachary A. Stoebner, Daiwei Lu, Seok Hee Hong, Nicholas L. Kavoussi, Ipek Oguz |
| 2022 | Segmentation of vertebrae and intervertebral discs in lumbar spine MR images with iterative instance segmentation. Jasper W. van der Graaf, Miranda L. van Hooff, Constantinus F. M. Buckens, Nikolas Lessmann |
| 2022 | Semi-automated intracranial aneurysm segmentation and neck detection. Nam H. Le, Edgar A. Samaniego, Ashrita Raghuram, Sebastián Sánchez, Honghai Zhang, Milan Sonka |
| 2022 | Semi-supervised segmentation of tooth from 3D scanned dental arches. Ammar Alsheghri, Farnoosh Ghadiri, Ying Zhang, Olivier Lessard, Julia Keren, Farida Cheriet, François Guibault |
| 2022 | Size-reweighted cascaded fully convolutional network for substantia nigra segmentation from T2 MRI. Tao Hu, Hayato Itoh, Masahiro Oda, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki, Kensaku Mori |
| 2022 | Spatial label smoothing via aleatoric uncertainty for bleeding region segmentation from laparoscopic videos. Jie Qiu, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Nobuyoshi Takeshita, Masaaki Ito, Kensaku Mori |
| 2022 | Statistical shape model of the spine fitting study: impact of clipping the latent representation. Manon Ansart, Thierry Cresson, Benjamin Aubert, Jacques A. de Guise, Carlos Vázquez |
| 2022 | Structural connectivity-based subtyping of healthy individuals using elastic net subspace clustering. Weize Liu, Yaping Wang, Youze He, Jingsong Wu, Xiujuan Geng |
| 2022 | Structure-aware unsupervised tagged-to-cine MRI synthesis with self disentanglement. Xiaofeng Liu, Fangxu Xing, Jerry L. Prince, Maureen Stone, Georges El Fakhri, Jonghye Woo |
| 2022 | Substantia nigra analysis by tensor decomposition of T2-weighted images for Parkinson's disease diagnosis. Hayato Itoh, Masahiro Oda, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki, Kensaku Mori |
| 2022 | Supervised deep generation of high-resolution arterial phase computed tomography kidney substructure atlas. Ho Hin Lee, Yucheng Tang, Shunxing Bao, Yan Xu, Qi Yang, Xin Yu, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Jeffrey M. Spraggins, Mattias P. Heinrich, Yuankai Huo, Bennett A. Landman |
| 2022 | Synthetic velocity mapping cardiac MRI coupled with automated left ventricle segmentation. Xiaodan Xing, Yinzhe Wu, David N. Firmin, Peter Gatehouse, Guang Yang |
| 2022 | TIDAQUNET: tissue identification and quantification network for mid-thigh CT segmentation. Sokratis Makrogiannis, Nagasoujanya Annasamudram, Taposh Biswas |
| 2022 | Thin shell demons for dental scan registration. Pranjal Sahu, Samuel Gerber, Qingyu Zhao, Tung Nguyen, Matt McCormick, Beatriz Paniagua, Jared Vicory |
| 2022 | Towards reduction of expert bias on Gleason score classification via a semi-supervised deep learning strategy. Miguel Plazas, Raúl Ramos-Pollán, Fabian León, Fabio Martínez |
| 2022 | Tumor tracking in 4D CT images for adaptive radiotherapy. Pieter Kronemeijer, Efstratios Gavves, Jan-Jakob Sonke, Jonas Teuwen |
| 2022 | U-Net based mitosis detection from H&E-stained images with the semi-automatic annotation using pHH3 IHC-stained images. Jiaming Li, Toshiyuki Adachi, Saori Takeyama, Masahiro Yamaguchi, Yukako Yagi |
| 2022 | Ultra-high-resolution mapping of cortical layers 3T-guided 7T MRI. Karthik Ramadass, Francois Rheault, Leon Y. Cai, Lucas W. Remedios, Micah D'Archangel, Ilwoo Lyu, Laura A. Barquero, Allen T. Newton, Laurie E. Cutting, Yuankai Huo, Bennett A. Landman |
| 2022 | Unsupervised denoising of retinal OCT with diffusion probabilistic model. Dewei Hu, Yuankai K. Tao, Ipek Oguz |
| 2022 | Unsupervised domain adaptation for segmentation with black-box source model. Xiaofeng Liu, Chaehwa Yoo, Fangxu Xing, C.-C. Jay Kuo, Georges El Fakhri, Je-Won Kang, Jonghye Woo |
| 2022 | Variational inference for quantifying inter-observer variability in segmentation of anatomical structures. Xiaofeng Liu, Fangxu Xing, Thibault Marin, Georges El Fakhri, Jonghye Woo |
| 2022 | Visual attribution for deep learning segmentation in medical imaging. Sean Mullan, Milan Sonka |
| 2022 | Weakly supervised brain tumor segmentation via semantic affinity deep neural network. Moshe Yerachmiel, Hayit Greenspan |