Table of Contents

• Interactive deep learning for explainable retinal disease classificationMariana Vasquez, Suhev Shakya, Ian Wang, Jacob Furst 0001, Roselyne Tchoua, Daniela Raicu. [doi]
• Calcium scoring in low-dose ungated chest CT scans using convolutional long-short term memory networksKonrad 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. [doi]
• Effects of defacing whole head MRI on neuroanalysisChenyu Gao, Linghao Jin, Jerry L. Prince, Aaron Carass. [doi]
• A deep recurrent neural network with primal-dual optimization for CT metal artifact reductionMasaki Ikuta, Jun Zhang 0006. [doi]
• Joint independent component analysis for hypothesizing spatiotemporal relationships between longitudinal gray and white matter changes in preclinical Alzheimer's diseaseLeon 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. [doi]
• 2D nnUNet for classification and segmentation of anatomical structures in fetal torso ultrasoundClara Dacho, David Gabauer, David Brunner, Lukas Fischer 0001. [doi]
• Multi-view-based automatic method for multiple diseases screening in retinal OCT imagesTing Wang, Weifang Zhu, Meng Wang, Lianyu Wang, Zhongyue Chen, Tian Lin, Haoyu Chen, Xinjian Chen 0001. [doi]
• Deep-e: a fully-dense neural network for improving the elevation resolution in linear-array-based photoacoustic tomographyHuijuan Zhang, Wei Bo, Depeng Wang, Anthony DiSpirito III, Chuqin Huang, Nikhila Nyayapathi, Emily Zheng, Tri Vu, Yiyang Gong, Junjie Yao, Wenyao Xu, Jun Xia. [doi]
• Segmentation of kidney stones in endoscopic video feedsZachary A. Stoebner, Daiwei Lu, Seok-Hee Hong, Nicholas L. Kavoussi, Ipek Oguz. [doi]
• Impact of improved spatial resolution on radiomic features using photon-counting-detector CTChelsea A. S. Dunning, Kishore Rajendran, Joel G. Fletcher, Cynthia H. McCollough, Shuai Leng. [doi]
• CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrumJames 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. [doi]
• Direct and indirect image rotation estimation methods of orthopedic x-ray imagesHolger Kunze, Florian Kordon, Andreas Maier 0001, Katharina Breininger. [doi]
• A convolutional neural network based super resolution technique of CT image utilizing both sinogram domain and image domain dataMinwoo Yu, Minah Han, Jongduk Baek. [doi]
• Mapping the impact of non-linear gradient fields on diffusion MRI tensor estimationPraitayini Kanakaraj, Colin B. Hansen, Francois Rheault, Leon Y. Cai, Karthik Ramadass, Baxter P. Rogers, Kurt G. Schilling, Bennett A. Landman. [doi]
• TIDAQUNET: tissue identification and quantification network for mid-thigh CT segmentationSokratis Makrogiannis, Nagasoujanya Annasamudram, Taposh Biswas. [doi]
• BAA-Net: attention-based CNN for automatic placental segmentation of MR imagesJia Jia, Yaping Wang, Chenyu Yan. [doi]
• A Pareto front based methodology to better assess medical image registration algorithmsSamuel Joutard, Reuben Dorent, Tom Vercauteren, Marc Modat. [doi]
• Mapping pediatric spinal cord development with ageAshwin Kumar, Simon N. Vandekar, Kurt Schilling, Aashim Bhatia, Bennett A. Landman, Seth A. Smith. [doi]
• Infant brain age classification: 2D CNN outperforms 3D CNN in small datasetMahdieh Shabanian, Markus T. Wenzel, John P. DeVincenzo. [doi]
• 3D PET image generation with tumour masks using TGANRobert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Ivan S. Klyuzhin, Arman Rahmim, Raymond T. Ng. [doi]
• Retinal OCT image report generation based on visual and semantic topic attention modelChao Guo, Weifang Zhu, Ting Wang, Tian Lin, Haoyu Chen, Xinjian Chen 0001. [doi]
• Synthetic velocity mapping cardiac MRI coupled with automated left ventricle segmentationXiaodan Xing, Yinzhe Wu 0001, David N. Firmin, Peter Gatehouse, Guang Yang 0006. [doi]
• Motion correction in retinal optical coherence tomography imaging using deep learning registrationKonstantinos Ntatsis, Luisa Sánchez Brea, Danilo Andrade De Jesus, João Barbosa Breda, Theo van Walsum, Edwin Bennink, Stefan Klein 0001. [doi]
• Efficient network with ghost tied block for heart segmentationYuhao Guo, Bin Cai, Pengpeng Liang, Kaifeng Wang, Zhiyong Sun, Chi Xiong, Bo Song, Chaoshi Niu, Erkang Cheng. [doi]
• U-Net based mitosis detection from H&E-stained images with the semi-automatic annotation using pHH3 IHC-stained imagesJiaming Li, Toshiyuki Adachi, Saori Takeyama, Masahiro Yamaguchi, Yukako Yagi. [doi]
• CaraNet: context axial reverse attention network for segmentation of small medical objectsAnge Lou, Shuyue Guan, Hanseok Ko, Murray H. Loew. [doi]
• CNN-based pose estimation for assessing quality of ankle-joint X-ray imagesSven 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. [doi]
• Generative adversarial network for coronary artery plaque synthesis in coronary CT angiographyZhiwei Zhai, Yining Wang, Bob D. de Vos, Julia M. H. Noothout, Nils Planken, Ivana Isgum. [doi]
• Extending the value of routine lung screening CT with quantitative body composition assessmentKaiwen 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. [doi]
• Active shape models with locally weighted componentsRueben A. Banalagay, Jack H. Noble. [doi]
• COVID-19 lesion segmentation using convolutional LSTM for self-attentionAditya 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, Elisabetta Mancini, Cecilia Agalbato, Jiro Munechika, Hidenari Matsumoto, Roberto Menè, Damini Dey, Gianfranco Parati, Franco Cernigliaro, Camilla Torlasco, Gianluca Pontone, Piotr J. Slomka. [doi]
• Novel dataset and evaluation of state-of-the-art vessel segmentation methodsZiga Bizjak, Aichi Chien, Iza Burnik, Ziga Spiclin. [doi]
• Data variation-aware medical image segmentationArkadiy Dushatskiy, Gerry Lowe, Peter A. N. Bosman, Tanja Alderliesten. [doi]
• Automatic lung segmentation in dynamic thoracic MRI using two-stage deep convolutional neural networksLipeng Xie, Jayaram K. Udupa, Yubing Tong, Joseph M. McDonough, Caiyun Wu, Carina Lott, Jason B. Anari, Patrick J. Cahill, Drew A. Torigian. [doi]
• Automated fractured femur segmentation using CNNJared Vicory, Pranjal Sahu, Hwabok Wee, Hannah Nam, Avani Chopra, Spence Reid, Gregory S. Lewis, Sreekanth Arikatla. [doi]
• A deep kernel method for PET image reconstructionSiqi Li, Guobao Wang. [doi]
• A benchmark of denoising digital breast tomosynthesis in projection domain: neural network-based and traditional methodsDarlan M. Nakamura de Araújo, Denis H. P. Salvadeo, Davi D. de Paula. [doi]
• Automated macular OCT retinal surface segmentation in cases of severe glaucoma using deep learningHui Xie, Jui-Kai Wang, Randy H. Kardon, Mona Kathryn Garvin, Xiaodong Wu 0001. [doi]
• A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphomaShadab Ahamed, Natalia Dubljevic, Ingrid Bloise, Claire Gowdy, Patrick Martineau, Don Wilson, Carlos F. Uribe, Arman Rahmim, Fereshteh Yousefirizi. [doi]
• Investigation of multi-cohort brain MRI segmentation in infantsPengfei Fu, Yaping Wang, Jinyuan Shen, Xiujuan Geng. [doi]
• BDG-Net: boundary distribution guided network for accurate polyp segmentationZihuan Qiu, Zhichuan Wang, Miaomiao Zhang, Ziyong Xu, Jie Fan, Linfeng Xu 0001. [doi]
• Size-reweighted cascaded fully convolutional network for substantia nigra segmentation from T2 MRITao Hu 0009, Hayato Itoh, Masahiro Oda, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki, Kensaku Mori. [doi]
• Towards reduction of expert bias on Gleason score classification via a semi-supervised deep learning strategyMiguel Plazas, Raúl Ramos-Pollán, Fabian León, Fabio Martínez. [doi]
• Evaluating the impact of MR image contrast on whole brain segmentationSavannah Hays, Lianrui Zuo, Aaron Carass, Jerry L. Prince. [doi]
• A multimodal variational autoencoder for estimating progression scores from imaging and microRNA data in rare neurodegenerative diseasesVirgilio Kmetzsch, Emmanuelle Becker, Dario Saracino, Vincent Anquetil, Daisy Rinaldi, Agnès Camuzat, Thomas Gareau, Isabelle Le Ber, Olivier Colliot. [doi]
• Learning to segment cell nuclei in phase-contrast microscopy from fluorescence images for drug discoveryHana Mertanová, Jan Kybic, Jarmila Stanková, Petr Dzubák, Marián Hajdúch. [doi]
• Quantification of muscle, bones, and fat on single slice thigh CTQi Yang 0004, Xin Yu 0002, Ho Hin Lee, Yucheng Tang, Shunxing Bao, Kristofer S. Gravenstein, Ann Zenobia Moore, Sokratis Makrogiannis, Luigi Ferrucci, Bennett A. Landman. [doi]
• A novel approach to form normal distribution of medical image segmentation based on multiple doctors' annotationsZicong Zhou, Guojun Liao. [doi]
• Bridging the domain gap for medical image segmentation with multimodal MIND featuresChristian N. Kruse, Mattias P. Heinrich. [doi]
• A distribution-based method for thermal damage model analysis and optimization in brain laser interstitial thermal therapyLibin Liang, Tingting Gao, Hui Ding 0003, Guangzhi Wang. [doi]
• Integrate memory efficiency methods for self-supervised learning on pathological image analysisQuan Liu, Bryan A. Millis, Zuhayr Asad, Can Cui 0006, William F. Dean, Isabelle T. Smith, Christopher Madden, Joseph T. Roland, Jeffrey P. Zwerner, Shilin Zhao, Lee E. Wheless, Yuankai Huo. [doi]
• Visual attribution for deep learning segmentation in medical imagingSean Mullan, Milan Sonka. [doi]
• Do I know this? segmentation uncertainty under domain shiftKatharina Hoebel, Christopher P. Bridge, Andréanne Lemay, Ken Chang, Jay B. Patel, Bruce Rosen 0001, Jayashree Kalpathy-Cramer. [doi]
• SCU-Net: shape constraint U-Net for prostate segmentation in MR imagesYang Zhao, Ke Lu, Jian Xue, Bin Huang, Haiyi Wang, Huan Wu, Yifei Wang. [doi]
• Multi-objective dual simplex-mesh based deformable image registration for 3D medical images - proof of conceptGeorgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten. [doi]
• Acute branch retinal artery occlusion segmentation based on Bayes posterior probability and deep learningChao Guo, Weifang Zhu, Meng Wang, Ming Liu, Zhongyue Chen, Xinjian Chen 0001. [doi]
• Application of DatasetGAN in medical imaging: preliminary studiesZong Fan, Varun A. Kelkar, Mark A. Anastasio, Hua Li 0003. [doi]
• Performance analysis in serial-section electron microscopy image registration of neuronal tissueBohao Chen, Tong Xin, Hua Han 0001, Xi Chen. [doi]
• On characterizing the sensitivity of lung computed tomography biomarkers to registration errorRahul Hingorani, Nicole L. Brown, Christopher M. Cervantes, Robert H. Brown, Andrew S. Gearhart. [doi]
• Progressive GANomaly: anomaly detection with progressively growing GANsDjennifer K. Madzia-Madzou, Hugo J. Kuijf. [doi]
• Statistical shape model of the spine fitting study: impact of clipping the latent representationManon Ansart, Thierry Cresson, Benjamin Aubert, Jacques A. de Guise, Carlos Vázquez 0001. [doi]
• Automated quality check of corpus callosum segmentation using deep learningWilliam J. Herrera, Simone Appenzeller, Fabiano Reis, Danilo Pereira, Mariana P. Bento, Letícia Rittner. [doi]
• Adding patient motion from DCE-MRI to anthropomorphic phantoms for dedicated breast CTMikhail Mikerov, Koen Michielsen, Nikita Moriakov, Ioannis Sechopoulos. [doi]
• Semi-supervised segmentation of tooth from 3D scanned dental archesAmmar Alsheghri, Farnoosh Ghadiri, Ying Zhang, Olivier Lessard, Julia Keren, Farida Cheriet, François Guibault. [doi]
• Homogenization of brain MRI from a clinical data warehouse using contrast-enhanced to non-contrast-enhanced image translation with U-Net derived modelsSimona Bottani, Elina Thibeau-Sutre, Aurélien Maire, Sebastian Ströer, Didier Dormont, Olivier Colliot, Ninon Burgos. [doi]
• Mouse brain extraction using 2-Stage CNNsYeun Kim, Evelyn Malamut, Cassandra E. Meyer, Allan MacKenzie-Graham, David W. Shattuck. [doi]
• Multimodal neuroimaging in pediatric type 1 diabetes: a pilot multisite feasibility study of acquisition quality, motion, and variabilityLeon 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. [doi]
• Improving automated intracranial artery labeling using atlas-based features in graph convolutional netsIris N. Vos, Ynte M. Ruigrok, Kimberley M. Timmins, Birgitta K. Velthuis, Hugo J. Kuijf. [doi]
• Convolutional neural network with a hybrid loss function for fully automated segmentation of lymphoma lesions in FDG PET imagesFereshteh 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. [doi]
• Substantia nigra analysis by tensor decomposition of T2-weighted images for Parkinson's disease diagnosisHayato Itoh, Masahiro Oda, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki, Kensaku Mori. [doi]
• Iterative material decomposition with gradient L0-norm minimization for dual-energy CTQian Wang, Huiqiao Xie, Tonghe Wang, Justin Roper, Xiangyang Tang, Jeffrey D. Bradley, Tian Liu 0004, Xiaofeng Yang 0005. [doi]
• Spatial label smoothing via aleatoric uncertainty for bleeding region segmentation from laparoscopic videosJie Qiu, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Nobuyoshi Takeshita, Masaaki Ito, Kensaku Mori. [doi]
• Evaluating neural network robustness for melanoma classification using mutual informationMolly O'Brien, Julia V. Bukowski, Greg Hager, Aria Pezeshk, Mathias Unberath. [doi]
• Unsupervised denoising of retinal OCT with diffusion probabilistic modelDewei Hu, Yuankai K. Tao, Ipek Oguz. [doi]
• Longitudinal changes of connectomes and graph theory measures in agingYuzhe Wang, Francois Rheault, Kurt G. Schilling, Lori L. Beason-Held, Andrea T. Shafer, Susan M. Resnick, Bennett A. Landman. [doi]
• Coarse-to-fine cascade framework for cross-modality super-resolution on clinical/micro CT datasetTong Zheng 0001, Hirohisa Oda, Yuichiro Hayashi, Shota Nakamura, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Masahiro Oda, Kensaku Mori. [doi]
• Structural connectivity-based subtyping of healthy individuals using elastic net subspace clusteringWeize Liu, Yaping Wang, Youze He, Jingsong Wu, Xiujuan Geng. [doi]
• Supervised deep generation of high-resolution arterial phase computed tomography kidney substructure atlasHo Hin Lee, Yucheng Tang, Shunxing Bao, Yan Xu, Qi Yang 0004, Xin Yu 0002, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Jeffrey M. Spraggins, Mattias P. Heinrich, Yuankai Huo, Bennett A. Landman. [doi]
• Efficient quality control with mixed CT and CTA datasetsLucas W. Remedios, Leon Y. Cai, Colin B. Hansen, Samuel W. Remedios, Bennett A. Landman. [doi]
• Axial multi-layer perceptron architecture for automatic segmentation of choroid plexus in multiple sclerosisMarius Schmidt-Mengin, Vito A. G. Ricigliano, Benedetta Bodini, Emanuele Morena, Annalisa Colombi, Maryem Hamzaoui, Arya Yazdan Panah, Bruno Stankoff, Olivier Colliot. [doi]
• Graph interaction for automated diagnosis of thoracic disease using x-ray imagesBumjun Jung, Lin Gu 0003, Tatsuya Harada. [doi]
• Automatic 2D to 3D localization of histological mouse brain sections in the reference atlas using deep learningMaryam Sadeghi, Pedro Neto, Arnau Ramos-Prats, Federico Castaldi, Enrica Paradiso, Naghmeh Mahmoodian, Francesco Ferraguti, Georg Göbel. [doi]
• Tumor tracking in 4D CT images for adaptive radiotherapyPieter Kronemeijer, Efstratios Gavves, Jan-Jakob Sonke, Jonas Teuwen. [doi]
• Deep-learning-based markerless tumor localization using 2D KV/MV imageYang Lei 0002, Zhen Tian, Richard L. J. Qiu, Tonghe Wang, Justin Roper, Kristin Higgins, Jeffrey D. Bradley, Tian Liu 0004, Xiaofeng Yang 0005. [doi]
• Normalization techniques for CNN based analysis of surgical cone beam CT volumesCelia Martín Vicario, Florian Kordon, Felix Denzinger, Jan Siad El Barbari, Maxim Privalov, Jochen Franke, Andreas Maier 0001, Holger Kunze. [doi]
• Effective hyperparameter optimization with proxy data for multi-organ segmentationChen Shen 0002, Holger R. Roth, Vishwesh Nath, Yuichiro Hayashi, Masahiro Oda, Kazunari Misawa, Kensaku Mori. [doi]
• Measuring strain in diffusion-weighted data using tagged magnetic resonance imagingFangxu Xing, Xiaofeng Liu 0001, Timothy G. Reese, Maureen Stone 0001, Van J. Wedeen, Jerry L. Prince, Georges El Fakhri, Jonghye Woo. [doi]
• Deep variational clustering framework for self-labeling large-scale medical imagesFarzin Soleymani, Mohammad Eslami, Tobias Elze, Bernd Bischl, Mina Rezaei. [doi]
• LitCall: learning implicit topology for CNN-based aortic landmark localizationZhangxing Bian, Jiayang Zhong, Yanglong Lu, Chuck R. Hatt, Nicholas S. Burris. [doi]
• Reconstruction of visual stimulus from the EEG recordings via generative adversarial networkRahul Mishra 0005, Krishan Sharma, Arnav Bhavsar. [doi]
• Gaze-based attention to improve the classification of lung diseasesMaksim Kholiavchenko, Ilya Pershin, Bulat Maksudov, Tamerlan Mustafaev, Yixuan Yuan, Bulat Ibragimov. [doi]
• Cranial meninges reconstruction based on convolutional networks and deformable models: applications to longitudinal study of normal agingPeiyu Duan, Shuo Han 0001, Lianrui Zuo, Yang An, Yihao Liu 0003, Ahmed Alshareef, Junghoon Lee, Aaron Carass, Susan M. Resnick, Jerry L. Prince. [doi]
• Fully automated multi-heartbeat echocardiography video segmentation and motion trackingYida Chen, Xiaoyan Zhang, Christopher M. Haggerty, Joshua V. Stough. [doi]
• MedRegNet: unsupervised multimodal retinal-image registration with GANs and ranking lossMonty Santarossa, Ayse Kilic, Claus von der Burchard, Lars Schmarje, Claudius Zelenka, Stefan Reinhold, Reinhard Koch, Johann Roider. [doi]
• Enhancing organ at risk segmentation with improved deep neural networksIlkin Isler, Curtis Lisle, Justin Rineer, Patrick Kelly, Damla Turgut, Jacob Ricci, Ulas Bagci. [doi]
• Structure-aware unsupervised tagged-to-cine MRI synthesis with self disentanglementXiaofeng Liu 0001, Fangxu Xing, Jerry L. Prince, Maureen Stone 0001, Georges El Fakhri, Jonghye Woo. [doi]
• Parotid gland segmentation with nnU-Net: deployment scenario and inter-observer variability analysisGasper Podobnik, Primoz Strojan, Primoz Peterlin, Bulat Ibragimov, Tomaz Vrtovec. [doi]
• Multi-agent reinforcement learning pipeline for anatomical landmark detection in minipigsMichal Brzus, Alexander B. Powers, Kevin Knoernschild, Jessica C. Sieren, Hans J. Johnson. [doi]
• Perceptually improved T1-T2 MRI translations using conditional generative adversarial networksAnurag Vaidya, Joshua V. Stough, Aalpen A. Patel. [doi]
• Mixed-block neural architecture search for medical image segmentationMartijn M. A. Bosma, Arkadiy Dushatskiy, Monika Grewal, Tanja Alderliesten, Peter A. N. Bosman. [doi]
• Thin shell demons for dental scan registrationPranjal Sahu, Samuel Gerber, Qingyu Zhao, Tung Nguyen, Matt McCormick 0001, Beatriz Paniagua, Jared Vicory. [doi]
• A deep learning approach to transform two orthogonal X-ray images to volumetric images for image-guided proton therapyChih-Wei Chang, Yang Lei 0002, Tonghe Wang, Jun Zhou, Liyong Lin, Jeffrey D. Bradley, Tian Liu 0004, Xiaofeng Yang 0005. [doi]
• Accelerating 2D abdominal organ segmentation with active learningXin Yu 0002, Yucheng Tang, Qi Yang 0004, Ho Hin Lee, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman. [doi]
• Benefits of auxiliary information in deep learning-based teeth segmentationTudor Dascalu, Artem Kuznetsov, Bulat Ibragimov. [doi]
• C-MADA: unsupervised cross-modality adversarial domain adaptation framework for medical image segmentationMaria G. Baldeon Calisto, Susana K. Lai-Yuen. [doi]
• An anatomy-based iteratively searching convolutional neural network for organ localization in CT imagesTiange Liu, Meng Tan, Yubing Tong, Drew A. Torigian, Jayaram K. Udupa. [doi]
• Non-rigid registration of temporal live cell microscopy image sequences using deep learningWenzhe Yin, Vadim O. Chagin, M. Cristina Cardoso, Karl Rohr. [doi]
• Evaluating the impact of MR image harmonization on thalamus deep network segmentationMuhan Shao, Lianrui Zuo, Aaron Carass, Jiachen Zhuo, Rao P. Gullapalli, Jerry L. Prince. [doi]
• Variational inference for quantifying inter-observer variability in segmentation of anatomical structuresXiaofeng Liu 0001, Fangxu Xing, Thibault Marin, Georges El Fakhri, Jonghye Woo. [doi]
• Improving deep learning based liver vessel segmentation using automated connectivity analysisFelix Thielke, Farina Kock, Annika Hänsch, Joachim Georgii, Nasreddin Abolmaali, Itaru Endo, Hans Meine, Andrea Schenk. [doi]
• Image quality assessment of chest CT scans used in functional respiratory imagingStien Van Steen, Dimitar Petrov, Rik Godon, Stijn Bonte, Hilde Bosmans. [doi]
• Semi-automated intracranial aneurysm segmentation and neck detectionNam H. Le, Edgar A. Samaniego, Ashrita Raghuram, Sebastián Sánchez, Honghai Zhang, Milan Sonka. [doi]
• Emerging clinical applications of medical extended reality (MXR)Jennifer N. Avari Silva. [doi]
• Multi-scale sparse representation-based shadow inpainting for retinal OCT imagesYaoqi Tang, Yufan Li, Hongshan Liu, Jiaxuan Li, Peiyao Jin, Yu Gan, Yuye Ling, Yikai Su. [doi]
• Weakly supervised brain tumor segmentation via semantic affinity deep neural networkMoshe Yerachmiel, Hayit Greenspan. [doi]
• Comparing Bayesian models for organ contouring in head and neck radiotherapyPrerak Mody, Nicolas F. Chaves-de-Plaza, Klaus Hildebrandt, René van Egmond, Huib de Ridder, Marius Staring. [doi]
• Displacement retrieval for speckle-based X-ray phase-contrast imaging using a convolutional neural networkSerena Z. Shi, Nadav Shapira, Peter B. Noël, Sebastian Meyer. [doi]
• MRI-derived cardiac fat modelling for use in ultrasound tissue labelling and classificationColin J. Gibbons, Jon D. Klingensmith. [doi]
• Unsupervised domain adaptation for segmentation with black-box source modelXiaofeng Liu 0001, Chaehwa Yoo, Fangxu Xing, C. C. Jay Kuo, Georges El Fakhri, Je-Won Kang, Jonghye Woo. [doi]
• Multi-modality fusion coupled with deep learning for improved outcome prediction in head and neck cancerArash Javanmardi, Mahdi Hosseinzadeh, Ghasem Hajianfar, Amir Hossein Nabizadeh, Seyed Masoud Rezaeijo, Arman Rahmim, Mohammad R. Salmanpour. [doi]
• Context in medical imaging: the case of focal liver lesion classificationMoshe Raboh, Dana Levanony, Paul Dufort, Arkadiusz Sitek. [doi]
• Segmentation of vertebrae and intervertebral discs in lumbar spine MR images with iterative instance segmentationJasper W. van der Graaf, Miranda L. van Hooff, Constantinus F. M. Buckens, Nikolas Lessmann. [doi]
• Ultra-high-resolution mapping of cortical layers 3T-guided 7T MRIKarthik 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. [doi]
• Learning to segment prostate cancer by aggressiveness from scribbles in bi-parametric MRIAudrey Duran, Gaspard Dussert, Carole Lartizien. [doi]
• Deep-learning-based carotid artery vessel wall segmentation in black-blood MRI using anatomical priorsDieuwertje Alblas, Christoph Brune, Jelmer M. Wolterink. [doi]
• Evaluating transformer-based semantic segmentation networks for pathological image segmentationCam Nguyen, Zuhayr Asad, Ruining Deng, Yuankai Huo. [doi]
• Automatic classification of MRI contrasts using a deep Siamese network and one-shot learningYi-Yu Chou, Samuel W. Remedios, John A. Butman, Dzung L. Pham. [doi]
• Classification of global microglia proliferation based on deep learning with local imagesHunter Morera, Palak Dave, Yaroslav Kolinko, Kurtis Allen, Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton. [doi]
• Fetal head circumference delineation using convolutional neural networks with registration-based ellipse fittingHelena R. Torres, Bruno Oliveira 0002, Pedro Morais, Anne Fritze, Cahit Birdir, Mario Rüdiger, Jaime C. Fonseca 0001, João L. Vilaça. [doi]
• Centerline detection and estimation of pancreatic duct from abdominal CT imagesChihiro Hattori, Daisuke Furukawa, Fukashi Yamazaki, Yasuko Fujisawa, Takuya Sakaguchi. [doi]
• Anatomy-guided deep learning for object localization in medical imagesChao 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. [doi]
• Deep learning-based breast tissue segmentation in digital mammography: generalization across views and vendorsSarah D. Verboom, Marco Caballo, Mireille J. M. Broeders, Jonas Teuwen, Ioannis Sechopoulos. [doi]
• Human brain extraction with deep learningHao 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. [doi]
• Evaluating the capacity of deep generative models to reproduce measurable high-order spatial arrangements in diagnostic imagesRucha Deshpande, Mark A. Anastasio, Frank J. Brooks. [doi]
• Opportunistic CT screening for degenerative deformities and osteoporotic fractures with 3D DeepLabHellena Hempe, Eren Bora Yilmaz, Carsten Meyer, Mattias P. Heinrich. [doi]
• Explainable artificial-intelligence for diagnosis and risk estimation from cardiovascular imagesPiotr J. Slomka. [doi]
• 3D deep neural network to automatically identify TSC structural brain pathology based on MRIMahdieh Shabanian, Abdullah-Al-Zubaer Imran, Adeel Siddiqui, Robert L. Davis, John J. Bissler. [doi]