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Publication search results
found 4,856 matches
- 2025
- Pateel G. P., Kedarnath Senapati, Abhishek Kumar Pandey:
Improving the performance of multi-stage HER2 breast cancer detection in hematoxylin-eosin images based on ensemble deep learning. Biomed. Signal Process. Control. 100: 107016 (2025) - Xing-Liang Pan, Bo Hua, Ke Tong, Xia Li, Jin-Long Luo, Hua Yang, Jurong Ding:
EL-CNN: An enhanced lightweight classification method for colorectal cancer histopathological images. Biomed. Signal Process. Control. 100: 106933 (2025) - 2024
- Kevin Laven:
Practical Application of Machine Learning to Water Pipe Failure Prediction. University of Waterloo, Ontario, Canada, 2024 - Mehmet Onur Keskin, Furkan Cantürk, Cihan Eran, Reyhan Aydogan:
Decentralized multi-agent path finding framework and strategies based on automated negotiation. Auton. Agents Multi Agent Syst. 38(1): 10 (2024) - Katsumasa Kosha, Tetsuro Miyazaki, Kaoru Teranishi, Kiminao Kogiso, Kenji Kawashima:
Detection and Cancellation of Multiplicative FDI Attack on Bilateral Encrypted Control System. IEEE Access 12: 120979-120993 (2024) - Pateel G. P., Kedarnath Senapati, Abhishek Kumar Pandey:
A Novel Decision Level Class-Wise Ensemble Method in Deep Learning for Automatic Multi-Class Classification of HER2 Breast Cancer Hematoxylin-Eosin Images. IEEE Access 12: 46093-46103 (2024) - V. Sreelekshmi, Keechilat Pavithran, Jyothisha J. Nair:
SwinCNN: An Integrated Swin Transformer and CNN for Improved Breast Cancer Grade Classification. IEEE Access 12: 68697-68710 (2024) - Keyu Zhu, Shaobo Li, Xingxing Zhang, Jinming Wang, Cankun Xie, Fengbin Wu, Rongxiang Xie:
An Energy-Efficient Dynamic Offloading Algorithm for Edge Computing Based on Deep Reinforcement Learning. IEEE Access 12: 127489-127506 (2024) - Adrianna Z. Herskovits, Tiffanny Newman, Kevin Nicholas, Cesar F. Colorado-Jimenez, Claire E. Perry, Alisa Valentino, Isaac Wagner, Barbara Egan, Dmitriy Gorenshteyn, Andrew J. Vickers, Melissa S. Pessin:
Comparing Clinician Estimates versus a Statistical Tool for Predicting Risk of Death within 45 Days of Admission for Cancer Patients. Appl. Clin. Inform. 15(3): 489-500 (2024) - Umut Can Coskun, Kemal Mert Dogan, Erkan Gunpinar:
Imbalanced generative sampling of training data for improving quality of machine learning model. Adv. Eng. Informatics 62: 102631 (2024) - Jiabo Xu, Zhili Zhang, Xiangyun Hu, Tao Ke:
Accelerated forest modeling from tree canopy point clouds via deep learning. Int. J. Appl. Earth Obs. Geoinformation 132: 104074 (2024) - Tiemei Zhang, Zhen Chen, Zhuo-Zhi Wang, Xiaoti Jia, Shuai Meng, Ke Zhang, Dejun Zhou, Jun Zhang, Yong-Zi Chen:
Esophagogastroscopy for predicting endoscopic ultrasonography T-stage by utilizing deep learning methods in esophageal cancer. Appl. Intell. 54(19): 9286-9294 (2024) - George Zhou, Candace Chien, Justin Chen, Lucille Luan, Yunchan Chen, Sheila Carroll, Jeffrey Dayton, Maria Thanjan, Ken Bayle, Patrick Flynn:
Identifying pediatric heart murmurs and distinguishing innocent from pathologic using deep learning. Artif. Intell. Medicine 153: 102867 (2024) - Christoph Popp, Andreas Serov, Felix Glatzki, Christoph Ziegler, Andreea-Iulia Olaru, Jaime Maldonado, Joachim Clemens, Jürgen Adamy, Maxim Arbitmann, Florin Leon, Steven Peters, Kerstin Schill, Sighard Schräbler, Hermann Winner:
PRORETA 5 - building blocks for automated urban driving enhancing city road safety. Autom. 72(4): 293-307 (2024) - Jana B. Wilbert, Jenny S. Wesche, Lisa Handke, Rudolf Kerschreiter:
Far but close: how leaders can strengthen social identification with virtual teams. Behav. Inf. Technol. 43(13): 3192-3208 (2024) - Marwan Abdellah, Alessandro Foni, Juan Jose Garcia-Cantero, Nadir Román Guerrero, Elvis Boci, Adrien Fleury, Jay S. Coggan, Daniel Keller, Judit Planas, Jean-Denis Courcol, Georges Khazen:
Synthesis of geometrically realistic and watertight neuronal ultrastructure manifolds for in silico modeling. Briefings Bioinform. 25(5) (2024) - Kerstin Lenhof, Lea Eckhart, Lisa-Marie Rolli, Hans-Peter Lenhof:
Trust me if you can: a survey on reliability and interpretability of machine learning approaches for drug sensitivity prediction in cancer. Briefings Bioinform. 25(5) (2024) - Arik Ermshaus, Michael Piechotta, Gina Rüter, Ulrich Keilholz, Ulf Leser, Manuela Benary:
preon: Fast and accurate entity normalization for drug names and cancer types in precision oncology. Bioinform. 40(3) (2024) - Kexin Miao, Alphonse Houssou Hounye, Liuyan Su, Qi Pan, Jiaoju Wang, Muzhou Hou, Li Xiong:
Exploring explainable machine learning and Shapley additive exPlanations (SHAP) technique to uncover key factors of HNSC cancer: An analysis of the best practices. Biomed. Signal Process. Control. 89: 105752 (2024) - Qi Pan, Alphonse Houssou Hounye, Kexin Miao, Liuyan Su, Jiaoju Wang, Muzhou Hou, Li Xiong:
Explainable machine learning model identified potential biomarkers in liver cancer survival prediction. Biomed. Signal Process. Control. 96: 106504 (2024) - Kyle Lo, Joseph Chee Chang, Andrew Head, Jonathan Bragg, Amy X. Zhang, Cassidy Trier, Chloe Anastasiades, Tal August, Russell Authur, Danielle Bragg, Erin Bransom, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Yen-Sung Chen, Evie Yu-Yen Cheng, Yvonne Chou, Doug Downey, Rob Evans, Raymond Fok, Fangzhou Hu, Regan Huff, Dongyeop Kang, Tae Soo Kim, Rodney Kinney, Aniket Kittur, Hyeonsu B. Kang, Egor Klevak, Bailey Kuehl, Michael Langan, Matt Latzke, Jaron Lochner, Kelsey MacMillan, Eric Marsh, Tyler Murray, Aakanksha Naik, Ngoc-Uyen Nguyen, Srishti Palani, Soya Park, Caroline Paulic, Napol Rachatasumrit, Smita Rao, Paul Sayre, Zejiang Shen, Pao Siangliulue, Luca Soldaini, Huy Tran, Madeleine van Zuylen, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Marti A. Hearst, Daniel S. Weld:
The Semantic Reader Project. Commun. ACM 67(10): 50-61 (2024) - Kejian Shi, Chao Shen, Yaxuan Xie, Liangying Fu, Shihan Zhang, Kai Wang, Shafaq Naeem, Zhanpeng Yuan:
Prognostic predictive modeling of non-small cell lung cancer associated with cadmium-related pathogenic genes. Comput. Biol. Chem. 111: 108096 (2024) - Rocsildes Canoy, Victor Bucarey, Jayanta Mandi, Maxime Mulamba, Yves Molenbruch, Tias Guns:
Probability estimation and structured output prediction for learning preferences in last mile delivery. Comput. Ind. Eng. 189: 109932 (2024) - Elizabeth Fischer, Mikias Gebremeskel, Kochai Jan Jawed, Mahmut Öztürk, Kevin Cleary, Can Yerebakan:
Development and assessment of novel assist device for cardiac cannulation. Int. J. Comput. Assist. Radiol. Surg. 19(1): 37-41 (2024) - Chen Shen, Holger R. Roth, Yuichiro Hayashi, Masahiro Oda, Gen Sato, Tadaaki Miyamoto, Daniel Rueckert, Kensaku Mori:
Anatomical attention can help to segment the dilated pancreatic duct in abdominal CT. Int. J. Comput. Assist. Radiol. Surg. 19(4): 655-664 (2024) - Narjes Bouzarjomehri, Mohammad Barzegar, Habib Rostami, Ahmad Keshavarz, Ahmad Navid Asghari, Saeed Talatian Azad:
Multi-modal classification of breast cancer lesions in Digital Mammography and contrast enhanced spectral mammography images. Comput. Biol. Medicine 183: 109266 (2024) - Zhao-Min Chen, Yifan Liao, Xingjian Zhou, Wenyao Yu, Guodao Zhang, Yisu Ge, Tan Ke, Keqing Shi:
Pancreatic cancer pathology image segmentation with channel and spatial long-range dependencies. Comput. Biol. Medicine 169: 107844 (2024) - Kevser Karakaya, Server Mutluay Ünal:
Evaluation of stress distribution of different marginal designs on PEEK and PEKK substructure materials, cortical and cancellous Bone:A finite element analysis. Comput. Biol. Medicine 178: 108708 (2024) - Minghe Li, Huike Guo, Keao Wang, Chuanze Kang, Yanbin Yin, Han Zhang:
AVBAE-MODFR: A novel deep learning framework of embedding and feature selection on multi-omics data for pan-cancer classification. Comput. Biol. Medicine 177: 108614 (2024) - Mingrui Li, Guiyang Zhang, Qiang Tang, Kexing Xi, Yue Lin, Wei Chen:
Network-based analysis identifies potential therapeutic ingredients of Chinese medicines and their mechanisms toward lung cancer. Comput. Biol. Medicine 173: 108292 (2024)
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