| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Ryusei Inamori, Tomofumi Kaneno, Ken Oba, Eichi Takaya, Daisuke Hirahara, Tomoya Kobayashi, Kurara Kawaguchi, Maki Adachi, Daiki Shimokawa, Kengo Takahashi, Hiroko Tsunoda, Takuya Ued. Impact of Downsampling Size and Interpretation Methods on Diagnostic Accuracy in Deep Learning Model for Breast Cancer Using Digital Breast Tomosynthesis Images. The Tohoku journal of experimental medicine. vol 265. issue 1. 2025-03-09. PMID:39048348. |
while deep learning (dl) models have shown promise in breast cancer diagnosis using digital breast tomosynthesis (dbt) images, the impact of varying matrix sizes and image interpolation methods on diagnostic accuracy remains unclear. |
2025-03-09 |
2025-03-12 |
Not clear |
| Antônia D F Lima, Gladston R Carneiro Junior, Rafael P Dos Santos, Jerusa M Oliveira, Bianca Leite C de Sousa, Lázaro Wender O de Jesus, Rivelino M Cavalcant. Unraveling the differences between pyrolytic and petrogenic sources in oiled areas of the South Atlantic: An analytical method for biliary PAHs. Marine environmental research. vol 205. 2025-02-08. PMID:39922131. |
the most favorable results were observed using the matrix curve, with a linear correlation coefficient exceeding 0.9800, dl ranging from 0.03 to 79.2 ng/l, ql ranging from 0.1 to 264.1 ng/l, and accuracy ranging from 86% to 96% and with rsd between 0 and 8%. |
2025-02-08 |
2025-02-11 |
human |
| Masamune Kamachi, Kohei Kamada, Noriyuki Kanzaki, Tetsuya Yamamoto, Yuichi Hoshino, Atsuyuki Inui, Yuta Nakanishi, Kyohei Nishida, Kanto Nagai, Takehiko Matsushita, Ryosuke Kurod. Using deep learning for ultrasound images to diagnose chronic lateral ankle instability with high accuracy. Asia-Pacific journal of sports medicine, arthroscopy, rehabilitation and technology. vol 40. 2025-02-06. PMID:39911312. |
the purpose of this study is to calculate diagnostic accuracy of chronic lateral ankle instability (clai) from a confusion matrix using deep learning (dl) on ultrasound images of anterior talofibular ligament (atfl). |
2025-02-06 |
2025-02-08 |
Not clear |
| Masamune Kamachi, Kohei Kamada, Noriyuki Kanzaki, Tetsuya Yamamoto, Yuichi Hoshino, Atsuyuki Inui, Yuta Nakanishi, Kyohei Nishida, Kanto Nagai, Takehiko Matsushita, Ryosuke Kurod. Using deep learning for ultrasound images to diagnose chronic lateral ankle instability with high accuracy. Asia-Pacific journal of sports medicine, arthroscopy, rehabilitation and technology. vol 40. 2025-02-06. PMID:39911312. |
transfer learning was performed using 3 pretraining dl models, and the accuracy, precision, recall (sensitivity), specificity, f-measure, and the area under the receiver operating characteristic curve (auc) were calculated based on the confusion matrix. |
2025-02-06 |
2025-02-08 |
Not clear |
| Roya Arian, Alireza Vard, Rahele Kafieh, Gerlind Plonka, Hossein Rabban. CircWaveDL: Modeling of optical coherence tomography images based on a new supervised tensor-based dictionary learning for classification of macular abnormalities. Artificial intelligence in medicine. vol 160. 2025-01-11. PMID:39798181. |
traditional dl methods often transform higher-order tensors into vectors and then aggregate them into a matrix, which overlooks the inherent multi-dimensional structure of the data. |
2025-01-11 |
2025-01-16 |
Not clear |
| Oleksander Barmak, Iurii Krak, Sergiy Yakovlev, Eduard Manziuk, Pavlo Radiuk, Vladislav Kuznetso. Toward explainable deep learning in healthcare through transition matrix and user-friendly features. Frontiers in artificial intelligence. vol 7. 2024-12-10. PMID:39654544. |
in this study, we propose and evaluate a scalable approach based on a transition matrix to enhance the interpretability of dl models in medical signal and image processing by translating complex model decisions into user-friendly and justifiable features for healthcare professionals. |
2024-12-10 |
2024-12-12 |
Not clear |
| Enlai Guo, Kaixuan Bai, Jinfei Hu, Shuo Zhu, Yingjie Shi, Lianfa Bai, Jing Ha. Imaging through opaque scattering layers via transmission matrix assisted learning. Optics express. vol 32. issue 14. 2024-11-14. PMID:39538885. |
aiming at the limitation of dl methods that require high completeness of training set, a two-stage network is proposed to complete the transmission matrix (tm) measurement and image reconstruction. |
2024-11-14 |
2024-11-17 |
Not clear |
| Se-Jun Kim, Won June Kim, Changho Kim, Eok Kyun Lee, Hyungjun Ki. PROFiT-Net: Property-Networking Deep Learning Model for Materials. Journal of the American Chemical Society. 2024-09-12. PMID:39264687. |
we developed a dl model utilizing a crystal structure representation based on the orbital field matrix (ofm), which was modified to incorporate information on elemental properties and valence electron configurations. |
2024-09-12 |
2024-09-14 |
Not clear |
| Hyun-June Jang, Hyou-Arm Joung, Artem Goncharov, Anastasia Gant Kanegusuku, Clarence W Chan, Kiang-Teck Jerry Yeo, Wen Zhuang, Aydogan Ozcan, Junhong Che. Deep Learning-Based Kinetic Analysis in Paper-Based Analytical Cartridges Integrated with Field-Effect Transistors. ACS nano. vol 18. issue 36. 2024-09-10. PMID:39252606. |
the dl analysis mitigates chronic challenges of fet biosensors such as sample matrix interference, by leveraging kinetic data from target-specific bioreactions. |
2024-09-10 |
2024-09-13 |
Not clear |
| Haihan Zhang, Kai Zhang, Jinyuan Wang, Shicheng Yu, Zhixi Li, Shiyi Yin, Jingyuan Zhu, Wenbin We. Quickly diagnosing Bietti crystalline dystrophy with deep learning. iScience. vol 27. issue 9. 2024-09-02. PMID:39220263. |
dl models resnext, wide resnet, and resnest were developed, and model performance was evaluated using accuracy and confusion matrix. |
2024-09-02 |
2024-09-04 |
Not clear |
| Muhammad Usman Khalid, Malik Muhammad Nauman, Sheeraz Akram, Kamran Al. Three layered sparse dictionary learning algorithm for enhancing the subject wise segregation of brain networks. Scientific reports. vol 14. issue 1. 2024-08-17. PMID:39154133. |
the associated sequential dl model involved factorizing each subject's data into a multi-subject (ms) dictionary and ms sparse code while imposing a low-rank and a sparse matrix decomposition restriction on the dictionary matrix. |
2024-08-17 |
2024-08-20 |
human |
| Hamid Gholami, Aliakbar Mohammadifar, Yougui Song, Yue Li, Paria Rahmani, Dimitris G Kaskaoutis, Panos Panagos, Pasquale Borrell. An assessment of global land susceptibility to wind erosion based on deep-active learning modelling and interpretation techniques. Scientific reports. vol 14. issue 1. 2024-08-15. PMID:39147802. |
in this research, for the first time, we developed a novel methodology based on deep learning (dl) and active learning (al) models, their combination (e.g., recurrent neural network (rnn), rnn-al, gated recurrent units (gru), and gru-al) and three interpretation techniques (e.g., synergy matrix, shapley additive explanations (shap) decision plot, and accumulated local effects (ale) plot) to map global land susceptibility to wind erosion. |
2024-08-15 |
2024-08-18 |
Not clear |
| Vishal Rana, Jianhao Peng, Chao Pan, Hanbaek Lyu, Albert Cheng, Minji Kim, Olgica Milenkovi. Interpretable online network dictionary learning for inferring long-range chromatin interactions. PLoS computational biology. vol 20. issue 5. 2024-05-16. PMID:38753877. |
dictionary learning (dl), implemented via matrix factorization (mf), is commonly used in computational biology to tackle ubiquitous clustering problems. |
2024-05-16 |
2024-05-27 |
drosophila_melanogaster |
| Ferdaus Anam Jibon, A R Jamil Chowdhury, Mahadi Hasan Miraz, Hwang Ha Jin, Mayeen Uddin Khandaker, Sajia Sultana, Sifat Nur, Fazlul Hasan Siddiqui, Ahm Kamal, Mohammad Salman, Ahmed A F Yousse. Sequential graph convolutional network and DeepRNN based hybrid framework for epileptic seizure detection from EEG signal. Digital health. vol 10. 2024-05-10. PMID:38726217. |
existing dl models, especially in clinical contexts where irregular and unordered structures of physiological recordings make it difficult to think of them as a matrix; this has been a key disadvantage to producing a consistent and appropriate diagnosis outcome due to eeg's low amplitude and nonstationary nature. |
2024-05-10 |
2024-05-27 |
Not clear |
| Muhammad Usman Khalid, Malik Muhammad Nauma. A novel subject-wise dictionary learning approach using multi-subject fMRI spatial and temporal components. Scientific reports. vol 13. issue 1. 2023-11-19. PMID:37980391. |
considering that subject-wise (sw) data matrix can be decomposed into the sparse linear combination of multi-subject (ms) time courses and ms spatial maps, two new algorithms, sw sequential dl (swsdl) and sw block dl (swbdl), have been proposed. |
2023-11-19 |
2023-11-20 |
human |
| Won-Se Park, Jong-Ki Huh, Jae-Hong Le. Automated deep learning for classification of dental implant radiographs using a large multi-center dataset. Scientific reports. vol 13. issue 1. 2023-03-25. PMID:36964171. |
the accuracy, precision, recall, f1 score, and confusion matrix were calculated to evaluate the classification performance of the automated dl algorithm. |
2023-03-25 |
2023-08-14 |
Not clear |
| Simran Rastogi, Komal Rani, Vaibhav Sharma, Prahalad Singh Bharti, Krishna Deo, Veena Jain, Aditi Nanda, Saroj Kumar, Dheeraj Kumar Kol. Osteogenic markers in peri-implant crevicular fluid in immediate and delayed-loaded dental implants: A randomized controlled trial. Clinical implant dentistry and related research. 2023-03-20. PMID:36940923. |
the study evaluates the levels of matrix metalloprotease-8 (mmp-8), and cathepsin-k (catk) in peri-implant crevicular fluid (picf) among patients with immediate loaded (il) and delayed-loaded (dl) implants at different time points to know the inflammation and osteogenic status. |
2023-03-20 |
2023-08-14 |
Not clear |
| Matthew R Masters, Amr H Mahmoud, Yao Wei, Markus A Lil. Deep Learning Model for Efficient Protein-Ligand Docking with Implicit Side-Chain Flexibility. Journal of chemical information and modeling. 2023-03-14. PMID:36916514. |
to target this challenge, we present a deep learning (dl) model for flexible protein-ligand docking based on the prediction of an intermolecular euclidean distance matrix (edm), making the typical use of iterative search algorithms obsolete. |
2023-03-14 |
2023-08-14 |
Not clear |
| Wedja Timóteo Vieira, Meuris Gurgel Carlos da Silva, Laura de Oliveira Nascimento, Melissa Gurgel Adeodato Vieir. k-Carrageenan/sericin-based multiparticulate systems: A novel gastro-resistant polymer matrix for indomethacin delivery. International journal of biological macromolecules. 2023-02-02. PMID:36731703. |
increasing the amount of ind in the formulations subtly reduced the entrapment efficiency (ee) and drug loading (dl) due to matrix saturation. |
2023-02-02 |
2023-08-14 |
Not clear |
| Xiaomeng Zheng, Bogdan Dumitrescu, Jiamou Liu, Ciprian Doru Giurcănean. Multivariate Time Series Imputation: An Approach Based on Dictionary Learning. Entropy (Basel, Switzerland). vol 24. issue 8. 2022-08-26. PMID:36010721. |
the problem addressed by dictionary learning (dl) is the representation of data as a sparse linear combination of columns of a matrix called dictionary. |
2022-08-26 |
2023-08-14 |
Not clear |