Table of Contents

• Breast mass characterization using sparse approximations of patch-sampled deep featuresChelsea E. Harris, Sokratis Makrogiannis. [doi]
• Improving segmentation of calcified and non-calcified plaques on CCTA-CPR scans via masking of the artery wallAntonio Tejero-de-Pablos, Hiroaki Yamane, Yusuke Kurose, Junichi Iho, Youji Tokunaga, Makoto Horie, Keisuke Nishizawa, Yusaku Hayashi, Yasushi Koyama, Tatsuya Harada. [doi]
• An MRI-based radiomics signatures for overall survival prediction of gliomas patientsViet-Huan Le, Tran Nguyen Tuan Minh, Quang-Hien Kha, Nguyen-Quoc-Khanh Le. [doi]
• Assessing robustness of a deep-learning model for COVID-19 classification on chest radiographsMena Shenouda, Aditi Kaveti, Isabella Flerlage, Jayashree Kalpathy-Cramer, Maryellen L. Giger, Samuel G. Armato III. [doi]
• Radiomics-based classification of autosomal dominant polycystic kidney disease (ADPKD) Mayo imaging classification (MIC) and the effect of gray-level discretizationLinnea Kremer, Boris Fosso, Lucy Groothuis, Arlene Chapman, Samuel G. Armato III. [doi]
• Assessing an AI-based smart imagery framing and truthing (SIFT) system to assist radiologists annotating lung abnormalities on chest x-ray images for development of deep learning modelsLin Guo, Kunlei Hong, Ziqi Zhang, Bin Zheng, Stefan Jaeger 0001, Jordan D. Fuhrman, Hui Li 0024, Maryellen L. Giger, Andrei Gabrielian, Alex Rosenthal, Darrell E. Hurt, Ziv Yaniv, Y. M. Fleming Lure. [doi]
• Reliable deep learning in dynamic environmentsZachary Chase Lipton. [doi]
• 3D universal lesion detection and tagging in CT with self-trainingJared Frazier, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald M. Summers. [doi]
• Prediction of hematoma expansion using a random forest model with clinical data of patients with intracerebral hemorrhageAkihiro Taguchi, Samantha E. Seymour, Ciprian N. Ionita, Kurt Schultz, Ryo Shiroishi. [doi]
• MultiComBat: ComBat harmonization of multiple batch variablesHannah Horng, Despina Kontos, Russell T. Shinohara. [doi]
• Automated detection method of thoracic aorta calcification from non-contrast CT images using mediastinal anatomical label mapHidenobu Suzuki, Yoshiki Kawata, Toshihiko Sugiura, Nobuhiro Tanabe, Yuji Matsumoto 0004, Takaaki Tsuchida, Masahiko Kusumoto, Kazuyoshi Marumo, Masahiro Kaneko, Noboru Niki. [doi]
• Deep learning-based lung segmentation and automatic regional template in chest x-ray images for pediatric tuberculosisDaniel Capellán-Martín, Juan J. Gómez-Valverde, Ramon Sánchez-Jacob, David Bermejo-Peláez, Lara García-Delgado, Elisa López-Varela, María J. Ledesma-Carbayo. [doi]
• How does image quality affect computer-aided diagnosis of colorectal polyps?Thom Scheeve, Nikoo Dehghani, Quirine E. W. van der Zander, Ayla Thijssen, Ramon-Michel Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With. [doi]
• Class activation mapping and uncertainty estimation in multi-organ segmentationMd. Shibly Sadique, Walia Farzana, Ahmed G. Temtam, Khan M. Iftekharuddin. [doi]
• From adult to pediatric: deep learning-based automatic segmentation of rare pediatric brain tumorsXinyang Liu, Erin R. Bonner, Zhifan Jiang, Holger R. Roth, Roger J. Packer, Miriam Bornhorst, Marius George Linguraru. [doi]
• CT-HARMONICA: physics-based CT harmonization for reliable lung density quantificationSaman Sotoudeh-Paima, Ehsan Samei, Ehsan Abadi. [doi]
• Cross modal global local representation learning from radiology reports and x-ray chest imagesNathan Hadjiyski, M. Ali Vosoughi, Axel Wismüller. [doi]
• Predicting the need for a replan in oropharyngeal cancer: a radiomic, clinical, and dosimetric modelTricia Chinnery, Pencilla Lang, Anthony Nichols, Sarah A. Mattonen. [doi]
• A hybrid model of deep learning features and clinical features for severe cases predication of COVID-19Titinunt Kitrungrotsakul, Qingqing Chen 0001, Huitao Wu, Preeyanuch Srichola, Hongjie Hu, Wenchao Zhu, Chao Chen, Fangyi Xu, Yong Zhou, Lanfen Lin, Ruofeng Tong 0001, Jingsong Li, Yen-Wei Chen 0001. [doi]
• Deep learning for improved polyp detection from synthetic narrow-band imagingMathias Ramm Haugland, Hemin Ali Qadir, Ilangko Balasingham. [doi]
• Automatic segmentation of stroke lesions in T1-weighted magnetic resonance images with convolutional neural networksAldir Sousa, Marcelo Toledo, José Eduardo Krieger, Marco Antonio Gutierrez 0001. [doi]
• Prostate Gleason score prediction via MRI using capsule networkYuheng Li, Jing Wang, Mingzhe Hu, Pretesh Patel, Hui Mao, Tian Liu 0004, Xiaofeng Yang 0005. [doi]
• Predicting future multiple sclerosis disease progression from MR scansLara Dular, Gregor Brecl-Jakob, Lina Savsek, Jozef Magdic, Ziga Spiclin. [doi]
• Drusen segmentation in color fundus photographs for drusenoid pigment epithelial detachment patients based on ground-truth derived from SD-OCTsSouvick Mukherjee, Cameron Duic, Tharindu De Silva, Tiarnan D. Keenan, Alisa T. Thavikulwat, Emily Y. Chew, Catherine Cukras. [doi]
• Deep regression model with ordinal and triplet loss for the prediction of prostate cancer aggressiveness in multi-parametric MR imagesYoon Jo Kim, Min Jin Lee, Helen Hong, Sung Il Hwang. [doi]
• Developing a breast lesion simulator and remover in mammograms using Cycle-GAN: focusing on its impacts on a computer aided detection algorithmJuhun Lee, Robert M. Nishikawa. [doi]
• An analytic, physics-based approach to scoring emphysema in lung CT patientsJohn M. Hoffman, Frédéric Noo, Michael F. McNitt-Gray. [doi]
• Artificial intelligence for image-based breast cancer risk prediction using attentionStepan Romanov, Sacha Howell, Elaine Harkness, Megan Bydder, D. Gareth Evans, Steven Squires, Martin Fergie, Susan M. Astley. [doi]
• Predicting obstructive sleep apnea severity from craniofacial images using ensemble machine learning modelsZiyu Su, Sandhya Kumar, Thomas E. Tavolara, Metin N. Gurcan, Scott Segal, M. Khalid Khan Niazi. [doi]
• Improving medical image segmentation and classification using a novel joint deep learning modelSanjana Mudduluru, Sai Kiran Reddy Maryada, William Booker, Dean F. Hougen, Bin Zheng 0001. [doi]
• Abdominal CT pancreas segmentation using multi-scale convolution with aggregated transformationsJin Yang, Daniel S. Marcus, Aristeidis Sotiras. [doi]
• The importance of data domain on self-supervised learning for brain metastasis detection and segmentationYoungjin Yoo, Gengyan Zhao, Andreea Sandu, Thomas J. Re, Jyotipriya Das, Hesheng Wang, Michelle Kim, Colette Shen, Yueh Lee, Douglas Kondziolka, Mohannad Ibrahim, Jun Lian, Rajan Jain, Tong Zhu, Hemant Parmar, James M. Balter, Yue Cao, Eli Gibson, Dorin Comaniciu. [doi]
• Deep-learning-based automatic segmentation of the placenta and uterine cavity on prenatal MR imagesJames Huang, Quyen N. Do, Maysam Shahedi, Yin Xi, Matthew A. Lewis, Christina L. Herrera, David Owen, Catherine Y. Spong, Ananth J. Madhuranthakam, Diane M. Twickler, Baowei Fei. [doi]
• Unsupervised learning of healthy anatomy for anomaly detection in brain CT scansSina Walluscheck, Luca Canalini, Jan Klein 0001, Stefan Heldmann. [doi]
• Fully automated cascaded approach for renal mass detection on T2 weighted MRI imagesRohini Gaikar, Azar Azad, Nicola Schieda, Eranga Ukwatta. [doi]
• A volumetric multi-head attention strategy for lung nodule classification in CTAlejandra Moreno, Andrea Rueda, Fabio Martínez. [doi]
• A radiomics-based model for the outcome prediction in COVID-19 positive patients through deep learning with both longitudinal chest x-ray and chest computed tomography imagesChunrui Zou, Walter C. Mankowski, Lauren Pantalone, Shefali Setia Verma, Eduardo Jose Mortani Barbosa Jr., Tessa S. Cook, Peter B. Noël, Erica L. Carpenter, Jeffrey C. Thompson, Russell T. Shinohara, Sharyn Katz, Despina Kontos. [doi]
• A deep learning method for localizing the origin of ventricular tachycardia using 12-lead ECGAo Ran, Chengjin Yu, Huafeng Liu 0003. [doi]
• Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-mixerMasahiro Oda, Tong Zheng 0001, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori. [doi]
• Bi-modal network combining convolutional neural network and TabNet, differentiating spinal tumors based on images and clinical risk factorsKosuke Kita, Takahito Fujimori, Yuki Suzuki, Seiji Okada, Shoji Kido. [doi]
• Automated classification of intravenous contrast enhancement phase of CT scans using residual networksAkshaya Anand, Jianfei Liu, Thomas C. Shen, W. Marston Linehan, Peter A. Pinto, Ronald M. Summers. [doi]
• Radiomics analysis to diagnose tumor invasiveness of pulmonary sub-solid nodules from longitudinal pre-surgical CT scansApurva Singh, Hannah Horng, Leonid Roshkovan, Sharyn I. Katz, Despina Kontos, Jeffrey C. Thompson. [doi]
• Clinical segmentation for improved pancreatic ductal adenocarcinoma detection and segmentationTerese Hellström, Christiaan G. A. Viviers, Mark Ramaekers, Nick Tasios, Joost Nederend, Misha Luyer, Peter H. N. de With, Fons van der Sommen. [doi]
• Normative modeling using multimodal variational autoencoders to identify abnormal brain volume deviations in Alzheimer's diseaseSayantan Kumar, Philip R. O. Payne, Aristeidis Sotiras. [doi]
• Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural networkSatrajit Chakrabarty, Pamela LaMontagne, Joshua S. Shimony, Daniel S. Marcus, Aristeidis Sotiras. [doi]
• Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical dataChristiaan G. A. Viviers, M. M. Amaan Valiuddin, Peter H. N. de With, Fons van der Sommen. [doi]
• Improved method for COVID-19 classification of complex-architecture CNN from chest CT volumes using orthogonal ensemble networksRyo Toda, Masahiro Oda, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori. [doi]
• Open-source tool for model performance analysis for subpopulationsStijn Vandewiele, Jonas De Vylder, Bart Diricx, Sandra Edward, Tom Kimpe. [doi]
• Universal lymph node detection in multiparametric MRI with selective augmentationTejas Sudharshan Mathai, Sungwon Lee, Thomas C. Shen, Zhiyong Lu, Ronald M. Summers. [doi]
• No nodule left behind: evaluating lung nodule malignancy classification with different stratification schemesThomas Zeng, Elias Furst, Yiyang Wang, Roselyne Tchoua, Jacob Furst, Daniela Raicu. [doi]
• Real-time Barrett's neoplasia characterization in NBI videos using an int8-based quantized neural networkCarolus H. J. Kusters, T. G. W. Boers, Jelmer B. Jukema, Martijn R. Jong, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With. [doi]
• Effect of domain-specific self-supervised pretraining on predictive uncertainty for colorectal polyp characterizationNikoo Dehghani, Thom Scheeve, T. G. W. Boers, Quirine E. W. van der Zander, Ayla Thijssen, Ramon-Michel Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With. [doi]
• End-to-end mammographic breast density quantification with deep learning: preliminary study on simulated mammogramsSjoerd A. M. Tunissen, Andrea Motta, Franziska Mauter, Eloy García 0001, Oliver Díaz, John M. Boone, Ioannis Sechopoulos, Marco Caballo. [doi]
• Catheter segmentation in chest x-ray: improving imbalanced segmentation with a class frequency weighted loss functionSiyuan Wei, Youngwon Choi, M. Wasil Wahi-Anwar, Liza Shrestha, Koon-Pong Wong, Matthew S. Brown. [doi]
• Automatic characterization of liver tumors from multi-phase CT imagesKeita Otani, Daiki Nishigaki, Taro Hatsutani, Takeshi Takamoto, Yuki Suzuki, Shoji Kido, Noriyuki Tomiyama. [doi]
• Improved ascites segmentation with bladder identification using anatomical location residual U-NetManas Kumar Nag, Jianfei Liu, Seung Yeon Shin, Benjamin Hou, Liangchen Liu, Perry J. Pickhardt, Jung Min Lee, Ronald M. Summers. [doi]
• Multi-view based computer-aided model with anatomical position prior for architectural distortion detection in digital breast tomosynthesisXiangyuan Ma, Zilong He, Yue Li, Weixiong Zeng, Jiawei Pan, Jialing Liu, Weimin Xu, Zeyuan Xu, Sina Wang, Chanjuan Wen, Hui Zeng, Jiefeng Wu, Zhaodong Zeng, Weiguo Chen, Yao Lu 0007. [doi]
• Using temporal GAN to translate the current CTP scan to follow-up MRI, for predicting final acute ischemic stroke lesionsMohsen Soltanpour, Muhammad Yousefnezhad, Russ Greiner, Pierre Boulange, Brian Buck. [doi]
• Towards a relation extractor U-shaped network for accurate pulmonary vessel segmentation in CT imagesJiabao Jin, Yu Wu, Gang Ding, Ying Ma, Hui-Qing Zeng, Sunkui Ke, Xiangxing Chen, Miao Wang, Yinran Chen, Xiongbiao Luo. [doi]
• An analysis of intensity harmonization techniques for Parkinson's multi-site MRI datasetsRaissa Souza, Emma A. M. Stanley, Milton Camacho, Matthias Wilms, Nils D. Forkert. [doi]
• Bladder cancer segmentation using U-Net-based deep-learningJonathan Clever, Lubomir M. Hadjiiski, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili, Kenny H. Cha, Ravi Samala, Chuan Zhou 0002. [doi]
• Opioid use disorder prediction using machine learning of fMRI dataAhmed G. Temtam, Liangsuo Ma, F. Gerard Moeller, Md. Shibly Sadique, Khan M. Iftekharuddin. [doi]
• Towards fracture risk assessment by deep-learning-based classification of prevalent vertebral fracturesEren Bora Yilmaz, Tobias Fricke, Julian Laue, Constanze Polzer, Sam Sedaghat, Jan-Bernd Hövener, Claus Christian Glüer, Carsten Meyer. [doi]
• Survival prediction for patients with metastatic urothelial cancer after immunotherapy using machine learningRain Tarango, Lubomir M. Hadjiiski, Ajjai Alva, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili, Kenny H. Cha, Ravi K. Samala, Alon Z. Weizer, Chuan Zhou 0002, Monika Joshi, Yousef Zakharia. [doi]
• Multi-view DBT grid-attention detection frameworkXuan Liu, Yinhao Ren, Zisheng Liang, Lars J. Grimm, Jun Ge, Joseph Y. Lo. [doi]
• Using virtual monoenergetic images in Karhunen-Loève domain to differentiate lesion pathologyYongfeng Gao, Shaojie Chang, Marc Jason Pomeroy, Lihong Li 0002, Zhengrong Liang. [doi]
• Machine reasoning for segmentation of the kidneys on CT images: improving CNN performance by incorporating anatomical knowledge in post-processingGabriel Melendez-Corres, Youngwon Choi, M. Wasil Wahi-Anwar, Heidi Coy, Steven S. Raman, Matthew S. Brown. [doi]
• 3D patch-based CNN for fissure segmentation on CT images to quantitatively assess fissure integrity and evaluate emphysema patients for endobronchial valve treatmentDallas K. Tada, Pangyu Teng, Michael F. McNitt-Gray, Grace H. Kim, Matthew S. Brown, Jonathan G. Goldin, Kalyani Vyapari, Ashley Banola. [doi]
• Volumetric corpus callosum segmentation integrated to inCCsight software for supporting DTI-based studiesJoão Vitor Alcantara, Joany Rodrigues, Paulo Rogério Julio, Simone Appenzeller, Letícia Rittner. [doi]
• Siam-VAE: a hybrid deep learning based anomaly detection framework for automated quality control of head CT scansSoumyendu Sekhar Ghosh, Rajat Dhar, Daniel S. Marcus, Aristeidis Sotiras. [doi]
• Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigmFrancesco Marzola, Kristen M. Meiburger, Filippo Molinari, Massimo Salvi. [doi]
• Correcting class imbalances with self-training for improved universal lesion detection and taggingAlexander Shieh, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald M. Summers. [doi]
• RUPNet: residual upsampling network for real-time polyp segmentationNikhil Kumar Tomar, Ulas Bagci, Debesh Jha. [doi]
• A vision-GNN framework for retinopathy classification using optical coherence tomographyMingzhe Hu, Jing Wang, Jacob F. Wynne, Tian Liu 0004, Xiaofeng Yang 0005. [doi]
• Decision region analysis to deconstruct the subgroup influence on AI/ML predictionsAlexis Burgon, Nicholas Petrick, Berkman Sahiner, Gene Pennello, Ravi K. Samala. [doi]
• An investigation on energy spectral information of computed tomography for machine learning in lesion classificationDaniel Liang, David Liang, Alice Wei, Licheng Ryan Kuo, Shaojie Chang, Marc Jason Pomeroy, Yongfeng Gao. [doi]
• Iterative K-means clustering for disease subtype discoveryKatherine Aubert, Catherine Huber, Jacob Furst 0001, Daniela Stan Raicu, Roselyne Tchoua. [doi]
• Densely encoded attention networks for accurate retinal layers segmentation in optical coherence tomographyYing Ma, Jiabao Jin, Guanping Xu, Ao Wang, Yinran Chen, Weijie Ouyang, Xiang Lin, Zuguo Liu, Xiongbiao Luo. [doi]
• Novel integration of radiomics and deep transfer learning for diagnosis of indeterminate thyroid nodules on ultrasoundJ. L. Cozzi, Hui Li 0024, Julian Conn Busch, J. Williams, Li Lan, X. Keutgen, Maryellen L. Giger. [doi]
• Glaucoma classification using a morphological-convolutional neural network trained with extreme learning machineMartha Rebeca Canales-Fiscal, José Gerardo Tamez-Peña. [doi]
• Multi-label ocular abnormalities detection with semantic dictionary learningAnneke Annassia Putri Siswadi, Stéphanie Bricq, Fabrice Mériaudeau. [doi]
• Improving small lesion segmentation in CT scans using intensity distribution supervision: application to small bowel carcinoid tumorSeung Yeon Shin, Thomas C. Shen, Stephen A. Wank, Ronald M. Summers. [doi]
• Bladder cancer treatment response assessment in CT urography by using deep-learning and radiomicsDi Sun, Lubomir M. Hadjiiski, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili, Ajjai Alva, Kenny H. Cha, Ravi K. Samala, Chuan Zhou 0002. [doi]
• Deep learning with visual explanation for radiotherapy-induced toxicity predictionBehnaz Elhaminia, Alexandra Gilbert, Alejandro F. Frangi, Andrew F. Scarsbrook, John Lilley, Ane Appelt, Ali Gooya. [doi]
• Audio-visual feature fusion for improved thoracic disease classificationMoinak Bhattacharya, Prateek Prasanna. [doi]
• Linking CT and SPECT based analysis for quantitative follow-up of vascular perfusion defects in COVID-19Catalin I. Fetita, Antoine Didier, Jean Richeux, Christian Tulvan, Jean-François Bernaudin, Pierre-Yves Brillet, Aurélien Justet. [doi]
• From code to clinic: challenges in translating ML models into real-world productsDale Webster. [doi]
• Gate-SBNet: gate semantic boundary network for colorectal polyp segmentationJun Wang, Jihong Sun, Xiaoyin Xu, Min Zhang. [doi]
• Classification of point-of-care ultrasound in breast imaging using deep learningJennie Karlsson, Ida Arvidsson, Freja Sahlin, Kalle Åström, Niels Christian Overgaard, Kristina Lång, Anders Heyden. [doi]
• Overcoming the sensor delta for semantic segmentation in OCT imagesJoshua Niemeijer, Jan Ehrhardt, Timo Kepp, Jörg P. Schäfer, Heinz Handels. [doi]
• Shape-based segmentation of retinal layers and fluids in OCT image dataTimo Kepp, Julia Andresen, Claus von der Burchard, Johann Roider, Gereon Hüttmann, Heinz Handels. [doi]
• Explainable AI for COVID-19 prognosis from early chest x-ray and clinical data in the context of the COVID-CXR international hackathonEdoardo Coppola, Damiano Ferrari, Mattia Savardi, Alberto Signoroni. [doi]
• Quantitative ultrasound radiomics for monitoring radiation-induced toxicity following breast radiotherapyJing Wang, Boran Zhou, Mylin A. Torres, Xiaofeng Yang 0005, Tian Liu 0004. [doi]
• A 2D U-NET combined model based on lesion size for automated stroke lesion segmentationIpsa Yadav, Vaibhav Bahel, François De Guio, Juhi Desai, Nikhil Gupta, Latha Poonamallee. [doi]
• Developing a task-oriented deep convolutional neural network application towards estimating near-term breast cancer risk: preliminary workMd Belayat Hossain, Juhun Lee. [doi]
• Tensor based multi-modality fusion for prediction of postoperative early recurrence of single hepatocellular carcinomaTianyi Wang, Mingkai Li, Zebin Chen, Xi Chen, Haimei Chen, Bin Wu, Xiaoying Wu, Yue Li, Yao Lu 0007. [doi]
• Fully automated aortic measurements via CNN-based joint segmentation and localizationSudeep Katakol, Zhangxing Bian, Yanglong Lu, Greg Spahlinger, Charles R. Hatt, Nicholas S. Burris. [doi]
• Renal parenchyma segmentation based on a cascaded self-adaptive framework with local context-aware mix-up regularization in abdominal MR imagesHeeyoung Jeong, Hyeonjin Kim, Helen Hong, Dae Chul Jung, Kidon Chang, Koon Ho Rha. [doi]
• Federated learning using multi-institutional data for generalizable chest x-ray diagnosisDabbara Keshava Chowdari, Nunna Radhasyam, Anabik Pal, Angshuman Paul. [doi]
• Identification of autism spectrum disorder based on MEWISPool and multi-modal learningGaoya Shen, Yaping Wang, Xiujuan Geng. [doi]
• Automated right coronary artery localizer using deep learning for optimal cardiac phase selectionChih-Chieh Liu, Qiulin Tang, Liang Cai, Zhou Yu, Jian Zhou. [doi]
• Bayesian neural networks for severity assessment of COVID-19 pneumonia from chest x-ray using a multi-reader and binational datasetMohammadreza Zandehshahvar, Marly Van Assen, Eun-Young Kim, Yashar Kiarashi, Vikranth Keerthipati, Arthur E. Stillman, Peter Filev, Amir H. Davarpanah, Eugene A. Berkowitz, Stefan Tigges, Scott J. Lee, Brianna L. Vey, Carlo Nicola De Cecco, Ali Adibi. [doi]
• Barrett's lesion detection using a minimal integer-based neural network for embedded systems integrationT. G. W. Boers, Carolus H. J. Kusters, Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Jeroen de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With. [doi]
• Unsupervised anomaly detection of paranasal anomalies in the maxillary sinusDebayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer. [doi]
• Recognition of tooth numbers and conditions on dental panoramic radiographs for assisting dental chart filingChisako Muramatsu, Koki Sakai, Yuta Seino, Ryo Takahashi, Tatsuro Hayashi, Wataru Nishiyama, Xiangrong Zhou, Takeshi Hara, Akitoshi Katsumata, Hiroshi Fujita 0001. [doi]
• Classification of high-risk coronary plaques using radiomic analysis of multi-energy photon-counting-detector computed tomography (PCD-CT) imagesChelsea A. S. Dunning, Prabhakar Shantha Rajiah, Scott S. Hsieh, Andrea Esquivel, Mariana Yalon, Nikkole M. Weber, Hao Gong, Joel G. Fletcher, Cynthia H. McCollough, Shuai Leng. [doi]
• Segmentation of mouse tibia on MRI using deep learning U-Net modelsAman Kushwaha, Rami F. Mourad, Kevin Heist, Dariya I. Malyarenko, Heang-Ping Chan, Thomas L. Chenevert, Lubomir M. Hadjiiski. [doi]
• Prediction of recurrence in non-small cell lung cancer (NSCLC) using Gabor and radiomic-feature based models applied to CT image dataAlexandra C. Shiffer, Hyun J. Grace Kim, Michael F. McNitt-Gray. [doi]
• Medical knowledge-guided deep learning for mammographic breast density classificationLong Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Margarita L. Zuley, Shandong Wu. [doi]
• Multiplexed diffused optical imaging generative adversarial network (mDOI-GAN) for sub-surface 3D imaging of tissuesShanshan Cai, John Mai, Winn Hong, Scott Fraser, Francesco Cutrale. [doi]
• NesT UNet: pure transformer segmentation network with an application for automatic cardiac myocardial infarction evaluationAbdelhamed Mohamed, Fabrice Mériaudeau. [doi]
• MISS-tool: medical image segmentation synthesis tool to emulate segmentation errorsShuyue Guan, Ravi K. Samala, Arian Arab, Weijie Chen. [doi]
• Anterior cruciate ligament classification in knee MRI using automated pseudo-maskingSaba Dadsetan, Marcio Albers, Allison Weinstock, Volker Musahl, Gene Kitamura, Dooman Arefan, Shandong Wu. [doi]
• Topological prediction models for relapse of stage I patients with non-small cell lung cancer prior to stereotactic ablative radiotherarpyT. Kodama, Hidetaka Arimura, Y. Shirakawa, Kenta Ninomiya, T. Yoshitake, Yoshiyuki Shioyama. [doi]
• Classification of schizophrenia using large-scale kernelized Granger causality (lsKGC) and functional MR imagingM. Ali Vosoughi, Akhil Kasturi, Nathan Hadjiyski, Axel Wismüller. [doi]