Medical Imaging 2022 : Computer-Aided Diagnosis / edited by Karen Drukker, Khan M. Iftekharuddin.

Format:

Book

Contributor:

Iftekharuddin, Khan M., editor.

Language:

English

Subjects (All):

Diagnostic imaging--Congresses.

Diagnostic imaging.

Physical Description:

1 online resource

Other Title:

Medical Imaging 2022

Place of Publication:

Bellingham, Washington, USA : SPIE, 2022.

Contents:

A feasibility study of computer-aided diagnosis with DECT Bayesian reconstruction for polyp classification / Shaojie Chang; Yongfeng Gao; Marc J. Pomeroy; Siming Lu; Zhengrong Liang Early detection of oesophageal cancer through colour contrast enhancement for data augmentation / Xiaohong Gao; Stephen Taylor; Wei Pang; Xin Lu; Barbara Braden Real-time esophagus achalasia detection method for esophagoscopy assistance / Kai Jiang; Masahiro Oda; Hironari Shiwaku; Masashi Misawa; Kensaku Mori Virtual vs. reality: external validation of COVID-19 classifiers using XCAT phantoms for chest computed tomography / Fakrul Islam Tushar; Ehsan Abadi; Saman Sotoudeh-Paima; Rafael B. Fricks; Maciej A. Mazurowski; W. Paul Segars; Ehsan Samei; Joseph Y. Lo Detecting COVID-19 from respiratory sound recordings with transformers / Idil Aytekin; Onat Dalmaz; Haydar Ankishan; Emine U. Saritas; Ulas Bagci; Tolga Cukur; Haydar Celik Clinical outcome prediction in COVID-19 using self-supervised vision transformer representations / Aishik Konwer; Prateek Prasanna Multi-stage investigation of deep neural networks for COVID-19 B-line feature detection in simulated and in vivo ultrasound images / Benjamin Frey; Lingyi Zhao; Tiffany Clair Fong; Muyinatu A. Lediju Bell Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes / Masahiro Oda; Tong Zheng; Yuichiro Hayashi; Yoshito Otake; Masahiro Hashimoto M.D.; Toshiaki Akashi M.D.; Shigeki Aoki M.D.; Kensaku Mori Multiparameter analysis of vascular remodeling in post-acute sequelae of COVID-19 / Catalin Fetita; Mathilde Maury; Aurélien Justet; Juliette Dindart; Jean Richeux; Lucile Sese; Nicolas Aide; Thomas Gille; Hilario Nunes; Jean-François Bernaudin; Pierre-Yves Brillet Analyzing GAN artifacts for simulating mammograms: application towards finding mammographically-occult cancer / Juhun Lee; Robert M. Nishikawa Deep curriculum learning in task space for multi-class based mammography diagnosis / Jun Luo; Dooman Arefan; Margarita Zuley M.D.; Jules Sumkin; Shandong Wu Improving lesion detection algorithm in digital breast tomosynthesis leveraging ensemble cross-validation models with multi-depth levels / Belayat Hossain; Robert M. Nishikawa; Juhun Lee Improving the performance of computer-aided classification of breast lesions using a new feature fusion method / Warid Islam; Gopichandh Danala; Huong Pham; Bin Zheng Early prediction of metastasis in women with locally advanced breast cancer / Simona Rabinovici-Cohen; Tal Tlusty; Xosé M. Fernández; Beatriz Grandal Rejo Effect of computerized decision support on diagnostic accuracy and intra-observer variability in multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography / Di Sun; Lubomir Hadjiiski; Rohan Garje; Yousef Zakharia; Lauren Pomerantz; Monika Joshi; Ajjai Alva; Heang-Ping Chan; Richard H. Cohan M.D.; Elaine M. Caoili M.D.; Kenny H. Cha; Galina Kirova-Nedyalkova; Matthew S. Davenport; Prasad R. Shankar; Isaac R. Francis; Kimberly Shampain; Nathaniel Meyer; Daniel Barkmeier; Sean Woolen; Phillip L. Palmbos; Alon Z. Weizer; Ravi K. Samala; Chuan Zhou; Martha Matuszak Deep hybrid convolutional wavelet networks: application to predicting response to chemoradiation in rectal cancers via MRI / Amir Reza Sadri; Thomas DeSilvio; Prathyush Chirra; Andrei Purysko; Rajmohan Paspulati; Kenneth A. Friedman; Smitha S. Krishnamurthi; David Liska; Sharon L. Stein; Satish E. Viswanath Ensembling mitigates scanner effects in deep learning medical image segmentation with deep-U-Nets / Anshul Ratnaparkhi; Bilwaj Gaonkar; David Zarrin; Ien Li; Kirstin Cook; Azim Laiwalla; Bayard Wilson; Mark Attiah; Christine Ahn; Diane Villaroman; Bryan Yoo; Banafsheh Salehi; Joel Beckett; Luke Macyszyn Open-world active learning for echocardiography view classification / Ghada Zamzmi; Tochi Oguguo; Sivaramakrishnan Rajaraman; Sameer Antani Applying a novel two-stage deep-learning model to improve accuracy in detecting retinal fundus images / Sai Kiran Reddy Maryada; William Lee Booker; Gopichandh Danala; Catherine An Ha; Sanjana Mudduluru; Dean F. Hougen; Bin Zheng Deciphering deep ensembles for lung nodule analysis / Ravi K. Samala; Berkman Sahiner; Gene Pennello; Kenny H. Cha; Mohammad Mehdi Farhangi; Nicholas Petrick Stroke lesion localization in 3D MRI datasets with deep reinforcement learning / Samuel Robertson; Anup Tuladhar; Deepthi Rajashekar; Nils D. Forkert Segmentation of multiple myeloma plasma cells in microscopy images with noisy labels / álvaro García Faura; Dejan Štepec; Tomaž Martincic; Danijel Skocaj Exploring directed network connectivity in complex systems using large-scale augmented Granger causality (lsAGC) / Axel Wismüller; M. Ali Vosoughi; Adora DSouza; Anas Z. Abidin Integrating zonal priors and pathomic MRI biomarkers for improved aggressive prostate cancer detection on MRI / Indrani Bhattacharya; Wei Shao; Simon J. C. Soerensen; Richard E. Fan; Jeffrey B. Wang; Christian Kunder; Pejman Ghanouni; Geoffrey A. Sonn; Mirabela Rusu Renal tumor analysis using multi-phase abdominal CT images / Kento Nishihira; Hidenobu Suzuki; Mikio Matsuhiro; Yoshiki Kawata; Yuuki Kobari; Atsushi Ikeda; Noboru Niki Deep learning based multiple sclerosis lesion detection utilizing synthetic data generation and soft attention mechanism / Omer Zucker Shmueli; Chen Solomon; Noam Ben-Eliezer; Hayit Greenspan Association between DCE MRI background parenchymal enhancement and mammographic texture features / Natalie Baughan; Lindsay Douglas; Maya Ballard; Esther Seoyeon Lee; Alexandra Edwards; Li Lan; Hui Li; Maryellen L. Giger Effect of different molecular subtype reference standards in AI training: implications for DCE-MRI radiomics of breast cancers / Heather M. Whitney; Yu Ji; Hui Li; Peifang Liu; Maryellen L. Giger Mammary duct detection using self-supervised encoders / Shannon Doyle; Francesco Dal Canton; Jelle Wesseling; Clara I. Sánchez; Jonas Teuwen WRDet: a breast cancer detector for full-field digital mammograms / Yen Nhi Truong Vu; Brent Mombourquette; Thomas Paul Matthews; Jason Su; Sadanand Singh Computer-aided detection for architectural distortion: a comparison of digital breast tomosynthesis and digital mammography / Yue Li; Zilong He; Xiangyuan Ma; Weixiong Zeng; Jialing Liu; Weimin Xu; Zeyuan Xu; Sina Wang; Chanjuan Wen; Hui Zeng; Jiefang Wu; Weiguo Chen; Yao Lu Addressing imaging accessibility by cross-modality transfer learning / Zhiyang Zheng; Yi Su; Kewei Chen; David A. Weidman; Teresa Wu; Ben Lo; Fleming Lure; Jing Li Incorporate radiograph-reading behavior and knowledge into deep reinforcement learning for lesion localization / Degan Hao; Dooman Arefan; Shandong Wu Evaluating the sensitivity of deep learning to inter-reader variations in lesion delineations on bi-parametric MRI in identifying clinically significant prostate cancer / Ansh Roge; Amogh Hiremath; Michael Sobota; Sree Harsha Tirumani; Leonardo Kayat Bittencourt; Justin Ream; Ryan Ward; Halimat Olaniyan; Sadhna Verma; Andrei Purysko; Anant Madabhushi; Rakesh Shiradkar Categorization of tumor-derived cells from lung cancer with compact deep learning / Yongjian Yu; Jue Wang Bayesian uncertainty estimation for detection of long-tail and unseen conditions in abdominal images / Mina Rezaei; Janne J. Näppi; Bernd Bischl; Hiroyuki Yoshida DG-GRU: dynamic graph based gated recurrent unit for age and gender prediction using brain imaging / Anees Kazi; Viktoria Markova; Prabhat R.

Kondamadugula; Beiyan Liu; Ahmed Adly; Shahrooz Faghihroohi; Nassir Navab Effects of feature type and multiple scanners on brain metastasis stereotactic radiosurgery outcome prediction / David DeVries; Frank Lagerwaard; Jaap Zindler; Timothy Yeung; George Rodrigues; George Hajdok; Aaron Ward Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction / Marcel Bengs; Finn Behrendt; Max-Heinrich Laves; Julia Krüger; Roland Opfer; Alexander Schlaefer A fully convolutional neural network for explainable classification of attention deficit hyperactivity disorder / Emma A. M. Stanley; Deepthi Rajashekar; Pauline Mouches; Matthias Wilms; Kira Plettl; Nils D. Forkert PET image harmonization using smoothing-CycleGAN / Abdullah Thabit; ShenPeng Li; Rob Williams; Victor L. Villemagne; Christopher C.

Rowe; Vincent Dore; Pierrick Bourgeat Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients / Alejandro Gutierrez; Anup Tuladhar; Deepthi Rajashekar; Nils D. Forkert A CT-based radiomics model for predicting feeding tube insertion in oropharyngeal cancer / Tricia Chinnery; Pencilla Lang; Anthony Nichols; Sarah Mattonen A deep network ensemble for segmentation of cervical spinal cord and neural foramina / David Zarrin; Anshul Ratnaparkhi; Bayard Wilson; Kirstin Cook; Ien Li; Azim Laiwalla; Mark Attiah; Joel Beckett; Bilwaj Gaonkar; Luke Macyszyn BAPGAN: GAN-based bone age progression of femur and phalange x-ray images / Shinji Nakazawa; Changhee Han; Joe Hasei; Ryuichi Nakahara; Toshifumi Ozaki A novel CNN+LSTM approach to classify frontal chest x-rays for spine fractures / Larissa C. Schudlo; Yiting Xie; Kirstin Small; Ben Graf Efficient endoscopic frame informativeness assessment by reusing the encoder of the primary CAD task / Fidan Mammadli; Fons van der Sommen; Tim Boers; Joost van der Putten; Kiki N. Fockens; Jelmer B. Jukema; Martijn R. de Jong; Jacques J.G.H.M. Bergman; Peter H. N. de With Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data / Can Cui; Zuhayr Asad; William F. Dean; Isabelle T. Smith; Christopher Madden; Shunxing Bao; Bennett A. Landman; Joseph T. Roland; Lori A. Coburn; Keith T. Wilson; Jeffrey P. Zwerner; Shilin Zhao; Lee E. Wheless; Yuankai Huo Uncertainty estimation in classification of MGMT using radiogenomics for glioblastoma patients / W. Farzana; Z. A. Shboul; A. Temtam; K. M. Iftekharuddin Iterative ComBat methods for harmonization of radiomic features / Hannah Horng; Apurva Singh; Bardia Yousefi; Eric A. Cohen; Babak Haghighi; Sharyn Katz; Peter B. Noël; Russell T. Shinohara; Despina Kontos 4D radiomics in dynamic contrast-enhanced MRI: prediction of pathological complete response and systemic recurrence in triple-negative breast cancer / Marco Caballo; Wendelien B. G. Sanderink; Luyi Han; Yuan Gao; Alexandra Athanasiou; Ritse M. Mann Visualization and unsupervised clustering of emphysema progression using t-SNE analysis of longitudinal CT images and SNPs / Hidenobu Suzuki; Mikio Matsuhiro; Yoshiki Kawata; Issei Imoto; Yasutaka Nakano; Masahiko Kusumoto; Masahiro Kaneko; Noboru Niki Placenta accreta spectrum and hysterectomy prediction using MRI radiomic features / Ka'Toria Leitch; Maysam Shahedi; James D. Dormer; Quyen N. Do; Yin Xi; Matthew A. Lewis; Christina L. Herrera; Catherine Y. Spong; Ananth J. Madhuranthakam; Diane M. Twickler; Baowei Fei Multi-class prediction for improving intestine segmentation on non-fecal-tagged CT volume / Hirohisa Oda; Yuichiro Hayashi; Takayuki Kitasaka; Aitaro Takimoto; Akinari Hinoki; Hiroo Uchida; Kojiro Suzuki; Masahiro Oda; Kensaku Mori Identifying an optimal machine learning generated image marker to predict survival of gastric cancer patients / Huong Pham; Meredith A. Jones; Tiancheng Gai; Warid Islam; Gopichandh Danala; Javier Jo; Bin Zheng Prediction of CD3 T-cell infiltration status in colorectal liver metastases: a radiomics-based imaging biomarker / Ralph Saber; David Henault; Eugene Vorontsov; Emmanuel Montagnon; An Tang; Simon Turcotte; Samuel Kadoury Improving prostate cancer triage with GAN-based synthetically generated prostate ADC MRI / Alvaro Fernandez-Quilez; Omer Parvez; Trygve Eftestøl; Svein Reidar Kjosavik; Ketil Oppedal One class to rule them all: detection and classification of prostate tumors presence in bi-parametric MRI based on auto-encoders / Alvaro Fernandez-Quilez; Habib Ullah; Trygve Eftestøl; Svein Reidar Kjosavik; Ketil Oppedal Hepatic artery segmentation with 3D convolutional neural networks / Farina Kock; Grzegorz Chlebus; Felix Thielke; Andrea Schenk; Hans Meine Colorectal polyp classification using confidence-calibrated convolutional neural networks / Koen C. Kusters; Thom Scheeve; Nikoo Dehghani; Quirine E. W. van der Zander; Ramon-Michel Schreuder; Ad A. M. Masclee M.D.; Erik J. Schoon; Fons van der Sommen; Peter H. N. de With Fully automated longitudinal tracking and in-depth analysis of the entire tumor burden: unlocking the complexity / Sven Kuckertz; Jan Klein; Christiane Engel; Benjamin Geisler; Stefan Krass; Stefan Heldmann Learning to triage by learning to reconstruct: a generative self-supervised approach for prostate cancer based on axial T2w MRI / Alvaro Fernandez-Quilez; Trygve Eftestøl; Svein Reidar Kjosavik; Ketil Oppedal Intrinsic subtype classification of breast lesions on mammograms by contrastive learning / Chisako Muramatsu; Mikinao Oiwa; Tomonori Kawasaki; Hiroshi Fujita Machine learning algorithm for classification of breast ultrasound images / Jennie Karlsson; Jennifer Ramkull; Ida Arvidsson; Anders Heyden; Kalle Åström; Niels Christian Overgaard; Kristina Lång M.D DBNet: a dual-branch network for breast cancer classification in ultrasound images / Hui Meng; Qingfeng Li; Xuefeng Liu; Yong Wang; Jianwei Niu Deep-learning characterization and quantification of COVID-19 pneumonia lesions from chest CT images / D. Bermejo-Peláez; R. San José Estépar; M. Fernández-Velilla; C. Palacios Miras; G. Gallardo Madueño; M. Benegas; M. A. Luengo-Oroz; J. Sellarés; M. Sánchez; G. Bastarrika; G. Peces Barba; L. M. Seijo; M. J. Ledesma-Carbayo Hybrid transformer for lesion segmentation on adaptive optics retinal images / Jianfei Liu; Joanne Li; Amday Wolde; Catherine Cukras; Johnny Tam Annotation and segmentation of diabetic retinopathy lesions: an explainable AI application / Hoda Kheradfallah; Janarthanam Jothi Balaji; Varadharajan Jayakumar; Mohammed Abdul Rasheed; Vasudevan Lakshminarayanan Human-in-the-loop deep learning retinal image classification with customized loss function / Suhev Shakya; Mariana Vasquez; Yiyang Wang; Roselyn Tchoua; Jacob Furst; Daniela Raicu Blood vessel segmentation in en-face OCTA images: a frequency based method / Anna Breger; Felix Goldbach; Bianca S. Gerendas; Ursula Schmidt-Erfurth; Martin Ehler Deep learning-based longitudinal CT registration for anatomy variation assessment during radiotherapy / Yabo Fu; Yang Lei; Zhen Tian; Tonghe Wang; Xianjin Dai; Jun Zhou; Mark McDonald; Jeffrey D. Bradley; Tian Liu; Xiaofeng Yang Detecting aggressive papillary thyroid carcinoma using hyperspectral imaging and radiomic features / Ka'Toria Leitch; Martin Halicek; Maysam Shahedi; James V. Little; Amy Y. Chen; Baowei Fei Linked psychopathology-specific factors and individual structural brain abnormalities in schizophrenia / Lin Chai; Yaping Wang; Weiyang Shi; Yu Zhang; Bing Liu; Tianzi Jiang; Lingzhong Fan Fusion of clinical phenotypic and multi-modal MRI for acute bilirubin encephalopathy classification / Xiangjun Chen; Zhaohui Wang; Yuefu Zhan; Faouzi Alaya Cheikh; Mohib Ullah Segmentation of aorta and main pulmonary artery of non-contrast CT images using U-Net for chronic thromboembolic pulmonary hypertension: evaluation of robustness to contacts with blood vessels / Hidenobu Suzuki; Mikio Matsuhiro; Yoshiki Kawata; Toshihiko Sugiura; Nobuhiro Tanabe; Masahiko Kusumoto; Masahiro Kaneko; Noboru Niki Similarity-based uncertainty scores for computer-aided diagnosis / Claire Weissman; Lilly Roelofs; Jacob Furst; Daniela Stan Raicu; Roselyne Tchoua A deep learning approach for COVID-19 screening and localization on chest x-ray images / Karem Daiane Marcomini; Diego Armando Cardona Cardenas; Agma Juci Machado Traina; José Eduardo Krieger; Marco Antonio Gutierrez A comparison of feature selection methods for the development of a prognostic radiogenomic biomarker in non-small cell lung cancer patients / Apurva Singh; Florian A. Hölzl; Sharyn Katz; Despina Kontos Fusion of multiple deep convolutional neural networks (DCNNs) for improved segmentation of lung nodules in CT images / Yifan Wang; Chuan Zhou; Heang-Ping Chan; Lubomir M.

Hadjiiski; Aamer Chughtai Avalanche decision schemes to improve pediatric rib fracture detection / Jonathan Burkow; Gregory Holste; Jeffrey Otjen; Francisco Perez; Joseph Junewick; Adam Alessio Identifying sinus invasion in meningioma patients before surgery with deep learning / Qi Qiu; Kai Sun; Jing Zhang; Panpan Liu; Liang Wang; Junting Zhang; Junlin Zhou; Zhenyu Liu; Jie Tian Interpretable learning approaches in structural MRI: 3D-ResNet fused attention for autism spectrum disorder classification / Xiangjun Chen; Zhaohui Wang; Yuefu Zhan; Faouzi Alaya Cheikh; Mohib Ullah Deep learning with vessel surface meshes for intracranial aneurysm detection / K. M. Timmins; I. C. van der Schaaf; I. Vos; Y. M. Ruigrok; B. K. Velthuis; H. J. Kuijf A study on 3D classical versus GAN-based augmentation for MRI brain image to predict the diagnosis of dementia with Lewy bodies and Alzheimer's disease in a European multi-center study / Petter Minne; Alvaro Fernandez-Quilez; Dag Aarsland; Daniel Ferreira; Eric Westman; Afina W. Lemstra; Mara Ten Kate; Alessandro Padovani; Irene Rektorova; Laura Bonanni; Flavio Mariano Nobili; Milica G. Kramberger; John-Paul Taylor; Jakub Hort; Jón Snædal; Fréderic Blanc; Angelo Antonini; Ketil Oppedal Image transformers for classifying acute lymphoblastic leukemia / Priscilla Cho; Sajal Dash; Aristeides Tsaris; Hong-Jun Yoon Deep ensemble models with multiscale lung-focused patches for pneumonia classification on chest x-ray / Yoon Jo Kim; Jinseo An; Helen Hong Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features / Mohammad R. Salmanpour; Mahdi Hosseinzadeh; Azizeh Akbari; Kasra Borazjani; Kasra Mojallal; Dariush Askari; Ghasem Hajianfar; Seyed Masoud Rezaeijo; Mohammad M. Ghaemi; Amir Hossein Nabizadeh; Arman Rahmim Radiomic texture feature descriptor to distinguish recurrent brain tumor from radiation necrosis using multimodal MRI / M. S. Sadique; A. Temtam; E. Lappinen; K. M. Iftekharuddin Co-occurring diseases heavily influence the performance of weakly supervised learning models for classification of chest CT / Fakrul Islam Tushar; Vincent M. D'Anniballe; Geoffrey D. Rubin; Ehsan Samei; Joseph Y. Lo Spotlight scheme: enhancing medical image classification with lesion location information / Jing Ni; Qilei Chen; Ping Liu; Yu Cao; Benyuan Liu A vector representation of local image contrast patterns for lesion classification / Weiguo Cao; Marc J. Pomeroy; Yongfeng Gao; Perry J. Pickhardt; Almas F. Abbasi; Jela Bandovic; Zhengrong Liang Fusion of handcrafted and deep transfer learning features to improve performance of breast lesion classification / Meredith A. Jones; Huong Pham; Tiancheng Gai; Bin Zheng Cardiovascular disease and all-cause mortality risk prediction from abdominal CT using deep learning / Daniel C. Elton; Andy Chen; Perry J. Pickhardt; Ronald M. Summers Neurovascular bundles segmentation on MRI via hierarchical object activation network / Yang Lei; Tonghe Wang; Justin Roper; Sibo Tian; Pretesh Patel; Jeffrey D. Bradley; Ashesh B. Jani; Tian Liu; Xiaofeng Yang Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases / Erikson J. de Aguiar; Karem D. Marcomini; Felipe A. Quirino; Marco A. Gutierrez; Caetano Traina Jr.; Agma J. M. Traina Contrastive learning meets transfer learning: a case study in medical image analysis / Yuzhe Lu; Aadarsh Jha; Ruining Deng; Yuankai Huo Automated segmentation of pediatric brain tumors based on multi-parametric MRI and deep learning / Rachel Madhogarhia; Anahita Fathi Kazerooni; Sherjeel Arif; Jeffrey B. Ware; Ariana M. Familiar; Lorenna Vidal; Sina Bagheri; Hannah Anderson; Debanjan Haldar; Sophie Yagoda; Erin Graves; Michael Spadola; Rachel Yan; Nadia Dahmane; Chiharu Sako; Arastoo Vossough; Phillip Storm; Adam Resnick; Christos Davatzikos; Ali Nabavizadeh Automatic polyp detection using SmartEndo-Net based on fusion feature pyramid network with mix-up edges / Young Jae Kim; Sohyun Byun; Chung il Ahn; Sangwook Cho; Kwang Gi Kim Early prediction of the Alzheimer's disease risk using Tau-PET and machine learning / Lujia Wang; Zhiyang Zheng; Yi Su; Kewei Chen; David A. Weidman; Teresa Wu; Ben Lo; Fleming Lure; Jing Li AI-human interactive pipeline with feedback to accelerate medical image annotation / Youngwon Choi; Marlena Garcia; Steven S. Raman; Dieter R. Enzmann; Matthew S. Brown High-resolution MR imaging using self-supervised parallel network / Huiqiao Xie; Yang Lei; Tonghe Wang; Justin Roper; Jeffrey D. Bradley; Tian Liu; Hui Mao; Xiaofeng Yang Drug response prediction using deep neural network trained by adaptive resampling of histopathological images / Tomoharu Kiyuna; Noriko Motoi; Hiroshi Yoshida; Hidehito Horinouchi; Tatsuya Yoshida; Takashi Kohno; Shun-ichi Watanabe; Yuichiro Ohe; Atsushi Ochiai Predicting hematoma expansion after spontaneous intracranial hemorrhage through a radiomics based model / Samantha E. Seymour; Ryan A. Rava; Dennis J. Swetz; Andre Montiero; Ammad Baig; Kurt Schultz; Kenneth V. Snyder; Muhammad Waqas; Jason M. Davies; Elad I. Levy; Adnan H. Siddiqui; Ciprian N. Ionita A radiomics approach to distinguish non-contrast enhancing tumor from vasogenic edema on multi-parametric pre-treatment MRI scans for glioblastoma tumors / Ipsa Yadav; Marwa Ismail; Volodymyr Statsevych; Virginia Hill; Ramon Correa; Manmeet Ahluwalia; Pallavi Tiwari Normalization of MRI signal intensity in polycystic kidney disease and the effect on radiomic features / Linnea E. Kremer; Natalie Perri; Eliza Sorber; Arlene Chapman M.D.; Samuel G. Armato III Multi-modality classification between myxofibrosarcoma and myxoma using radiomics and machine learning models / Can Cui; Samuel R. Johnson; Cullen P. Moran; Katherine S. Hajdu; Joanna Shechtel; John J. Block; Brian Bingham; David Smith; Leo Y. Luo; Hakmook Kang; Jennifer L. Halpern; Herbert S. Schwartz; Ginger E. Holt; Joshua M. Lawrenz; Benoit M. Dawant Automated kidney segmentation by mask R-CNN in T2-weighted magnetic resonance imaging / Manu Goyal; Junyu Guo; Lauren Hinojosa; Keith Hulsey; Ivan Pedrosa Multi-institutional evaluation of a deep learning model for fully automated detection of aortic aneurysms in contrast and non-contrast CT / Yiting Xie; Benedikt Graf; Parisa Farzam; Brian Baker; Christine Lamoureux; Arkadiusz Sitek Multi-channel medical image segmentation method in Hessian domain / Shuheng Cao; Ethan Yu; Aidan Clarke; Yongfeng Gao; Lihong Li Performance evaluation of lightweight convolutional neural networks on retinal lesion segmentation / M. Siebert; P. Rostalski CNN-based tumor progression prediction after thermal ablation with CT imaging / Marjaneh Taghavi; Monique Maas; Femke C. R. Staal; Regina G. H. Beets-Tan; Sean Benson Resampling and harmonization for mitigation of heterogeneity in imaging parameters: a comparative study / Apurva Singh; Hannah Horng; Leonid Roshkovan; Michelle Hershman; Russell T. Shinohara; Sharyn I. Katz; Despina Kontos Optimization of imaging parameters of an investigational photon-counting CT prototype for lung lesion radiomics / Cindy McCabe; Mojtaba Zarei; W. Paul Segars; Ehsan Samei; Ehsan Abadi Prediction of lung CT scores of systemic sclerosis by cascaded regression neural networks / Jingnan Jia; Marius Staring; Irene Hernández-Girón; Lucia J. M. Kroft; Anne A. Schouffoer; Berend C. Stoel Can deep learning model undergo the same process as a human radiologist when determining malignancy of pulmonary nodules? / Jun Keun Choi; Ehwa Yang; Chin A. Yi; Minsu Park; Jung Won Moon; Jae-Hun Kim A graph-theoretic algorithm for small bowel path tracking in CT scans / Seung Yeon Shin; Sungwon Lee; Ronald M. Summers Lymph node detection in T2 MRI with transformers / Tejas Sudharshan Mathai; Sungwon Lee; Daniel C. Elton; Thomas C. Shen; Yifan Peng; Zhiyong Lu; Ronald M.

Summers CT radiomics to predict early hepatic recurrence after resection for intrahepatic cholangiocarcinoma / Jayasree Chakraborty; Joshua S. Jolissaint; Tiegong Wang; Kevin C. Soares; Mithat Gonen; Linda M. Pak; Thomas Boerner; Richard K. G. Do; Vinod P. Balachandran; Michael I. D'Angelica; Jeffrey A. Drebin; T. Peter Kingham; Alice C. Wei; William R. Jarnagin Universal lesion detection in CT scans using neural network ensembles / Tarun Mattikalli; Tejas Sudharshan Mathai; Ronald M.

Summers Unsupervised optical small bowel ischemia detection in a preclinical model using convolutional variational autoencoders / Gyeong Woo Cheon; So-Hyun Nam; Jaepyeong Cha Self-supervised U-Net for segmenting flat and sessile polyps / Debayan Bhattacharya; Christian Betz; Dennis Eggert; Alexander Schlaefer Automation of ischemic myocardial scar detection in cardiac magnetic resonance imaging of the left ventricle using machine learning / Michael H. Udin; Ciprian N. Ionita; Saraswati Pokharel; Umesh C. Sharma Device specific SD-OCT retinal layer segmentation using cycle-generative adversarial networks in patients with AMD / Souvick Mukherjee; Tharindu De Silva; Gopal Jayakar; Peyton Grisso; Henry Wiley; Tiarnan Keenan; Alisa Thavikulwat; Emily Chew; Catherine Cukras Semi-supervised learning approach for automatic detection of hyperreflective foci in SD-OCT imaging / Tharindu De Silva; Kristina Hess; Cameron Duic; Souvick Mukherjee; Hector Sandoval; Jessica Aduwo; Tiarnan Keenan; Emily Y. Chew; Catherine Cukras Retinal layer segmentation for age-related macular degeneration patients with 3D-UNet / Souvick Mukherjee; Tharindu De Silva; Gopal Jayakar; Peyton Grisso; Henry Wiley; Tiarnan Keenan; Alisa Thavikulwat; Emily Chew; Catherine Cukras Synthesis of annotated pathological retinal OCT data with pathology-induced deformations / Hristina Uzunova; Leonie Basso; Jan Ehrhardt; Heinz Handels CVT-Vnet: a convolutional-transformer model for head and neck multi-organ segmentation / Shaoyan Pan; Zhen Tian; Yang Lei; Tonghe Wang; Jun Zhou; Mark McDonald; Jeffrey D. Bradley; Tian Liu; Xiaofeng Yang Taking full advantage of uncertainty estimation: an uncertainty-assisted two-stage pipeline for multi-organ segmentation / Zhou Zheng; Masahiro Oda; Kazunari Misawa; Kensaku Mori Towards a device-independent deep learning approach for the automated segmentation of sonographic fetal brain structures: a multi-center and multi-device validation / Abhi Lad; Adithya Narayan; Hari Shankar; Shefali Jain; Pooja Punjani Vyas; Divya Singh; Nivedita Hegde; Jagruthi Atada; Jens Thang; Saw Shier Nee; Arunkumar Govindarajan; Roopa PS; Muralidhar V. Pai; Akhila Vasudeva; Prathima Radhakrishnan; Sripad Krishna Devalla Transformation-consistent semi-supervised learning for prostate CT radiotherapy / Yichao Li; Mohamed S. Elmahdy; Michael S. Lew; Marius Staring Deep pancreas segmentation through quantification of pancreatic uncertainty on abdominal CT images / Hyeon Dham Yoon; Hyeonjin Kim; Helen Hong.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

1-5106-4942-5