Deep Learning Publication Navigator - subtopic: medical


Year TitleAuthor
2017   Medical Evaluation Machine Learning Workflows And Processes  WJ Steigauf, B Strong, S Werb
2017   Machine Learning in Medical Imaging Before and After Introduction of Deep Learning  K SUZUKI
2017   Classification of Medical Images and Illustrations in the Biomedical Literature Using Synergic Deep Learning  J Zhang, Y Xia, Q Wu, Y Xie
2017   Using classified text and deep learning algorithms to identify medical risk and provide early warning  NE Brestoff, JB Parker
2017   NiftyNet: a deep-learning platform for medical imaging  E Gibson, W Li, C Sudre, L Fidon, D Shakir, G Wang
2017   Using deep learning for content-based medical image retrieval  Q Sun, Y Yang, J Sun, Z Yang, J Zhang
2017   Deep Poincare Map For Robust Medical Image Segmentation  Y Mo, F Liu, J Zhang, G Yang, T He, Y Guo
2017   Medical Image Retrieval using Deep Convolutional Neural Network  A Qayyum, SM Anwar, M Awais, M Majid
2017   Using Neural Networks to Determine the Origin of Medical Ultrasound Images  Ø Fossan
2017   Deep learning for semantic segmentation in multimodal medical images  I LITIS
2017   Machine Learning for Medical Imaging  BJ Erickson, P Korfiatis, Z Akkus, TL Kline
2017   Recent developments in machine learning for medical imaging applications  KKL Wong, L Wang, D Wang
2017   The application of series multi-pooling convolutional neural networks for medical image segmentation  F Wang, S Huang, L Shi, W Fan 
2017   A medical image fusion method based on convolutional neural networks  Y Liu, X Chen, J Cheng, H Peng
2017   Iterative Deep Convolutional Encoder-Decoder Network for Medical Image Segmentation  JU Kim, HG Kim, YM Ro
2017   Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning  G Wang, W Li, MA Zuluaga, R Pratt, PA Patel 
2017   Medical image semantic segmentation based on deep learning  F Jiang, A Grigorev, S Rho, Z Tian, YS Fu, W Jifara
2017   On the Necessity of Fine-Tuned Convolutional Neural Networks for Medical Imaging  N Tajbakhsh, JY Shin, SR Gurudu, RT Hurst
2017   Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets  L Lu, Y Zheng, G Carneiro, L Yang
2017   Deep Learning and Computer-Aided Diagnosis for Medical Image Processing: A Personal Perspective  RM Summers
2017   Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging  HC Shin, HR Roth, M Gao, L Lu, Z Xu, I Nogues, J Yao
2017   Predicting Age by Mining Electronic Medical Records with Deep Learning Characterizes Differences between Chronological and Physiological Age  Z Wang, L Li, BS Glicksberg, A Israel, JT Dudley 
2017   Automated Preamble Detection in Dictated Medical Reports  W Salloum, G Finley, E Edwards, M Miller
2017   Deep Learning for Punctuation Restoration in Medical Reports  W Salloum, G Finley, E Edwards, M Miller
2017   Deep Learning in Medical Imaging: General Overview  JG Lee, S Jun, YW Cho, H Lee, GB Kim, JB Seo, N Kim
2017   Deep learning for tumour classification in homogeneous breast tissue in medical microwave imaging  B Gerazov, RC Conceicao
2017   Computational Intelligence Approaches for Classification of Medical Data: State-of-the-art, Future Challenges and Research Directions  A Kalantari, A Kamsin, S Shamshirband, A Gani
2017   Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach  WH Weng, KB Wagholikar, AT McCray, P Szolovits 
2017   SegAN: Adversarial Network with Multi-scale $ L_1 $ Loss for Medical Image Segmentation  Y Xue, T Xu, H Zhang, R Long, X Huang
2017   Undergraduate oncology teaching OSCEs (objective structured clinical examinations): an effective method of delivering oncology education to medical students  F Sun, F Slevin, J Ward, G Radhakrishna
2017   Overview of deep learning in medical imaging  K Suzuki
2017   DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images  N Pawlowski, SI Ktena, MCH Lee, B Kainz, D Rueckert 
2017   A deep-structural medical image classification for a Radon-based image retrieval  A Khatami, M Babaie, A Khosravi, HR Tizhoosh
2017   Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis  V Christlein, FC Ghesu, T Würfl, A Maier, F Isensee
2017   Machine Learning-Based Robust Watermarking Technique for Medical Image Transmitted Over LTE Network  A Rai, HV Singh
2017   Information Processing in Medical Imaging  M Niethammer, M Styner, S Aylward, H Zhu, I Oguz
2017   Curricular Impact on Learning Approaches and Critical Thinking Skills of Medical Students  V Devi, A Vashe, R Rao, RR Abraham, V Pallath
2017   The Role for Virtual Patients in the Future of Medical Education  CB White, A Wendling, S Lampotang, D Lizdas
2017   Synthetic Medical Images from Dual Generative Adversarial Networks  JT Guibas, TS Virdi, PS Li
2017   Content-based medical image rendering based on machine learning  K Petkov, S Miao, D Yu, B Georgescu, K Engel, T Mansi
2017   Deep learning application trial to lung cancer diagnosis for medical sensor systems  R Shimizu, S Yanagawa, Y Monde, H Yamagishi
2017   Deep Features Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network  M Chen, X Shi, Y Zhang, D Wu, M Guizani
2017   A comparative study of deep learning models for medical image classification  S Dutta, BCS Manideep, S Rai, V Vijayarajan 
2017   Medical Image Analysis using Wavelet Transform and Deep Belief Networks  A Khatami, A Khosravi, T Nguyen, CP Lim
2017   Learning Deep Representations of Medical Images using Siamese CNNs with Application to Content-Based Image Retrieval  YA Chung, WH Weng 
2017   Parallel Deep Solutions for Image Retrieval from Imbalanced Medical Imaging Archives  A Khatami, M Babaie, A Khosravi, HR Tizhoosh 
2017   Natural Language Processing for Large-Scale Medical Image Analysis Using Deep Learning  HC Shin, L Lu, RM Summers 
2017   Multi-Instance Multi-Stage Deep Learning for Medical Image Recognition  Z Yan, Y Zhan, S Zhang, D Metaxas, XS Zhou 
2017   Generative Adversarial Network based Synthesis for Supervised Medical Image Segmentation  T Neff, C Payer, D Štern, M Urschler
2017   Applying deep neural networks to unstructured text notes in electronic medical records for phenotyping youth depression  J Geraci, P Wilansky, V de Luca, A Roy, JL Kennedy
2017   Impact of Learning Approaches on Academic Performance of Preclinical Medical Students: Superficial Vs Deep  Z Kayali, FK Abdulwali, AA Peeran, AS Obad
2017   Interactive Integrated Tutorial for Active Self-Learning: An Effective Method to Teach Medical Subjects to Dental Undergraduates in India  M Saleem, N Kumar, A Sharma, S Muzammil
2017   Towards Representation Learning for Biomedical Concept Detection in Medical Images: UA. PT Bioinformatics in ImageCLEF 2017  E Pinho, JF Silva, JM Silva, C Costa
2017   Fully Convolutional Networks in Medical Imaging: Applications to Image Enhancement and Recognition  CF Baumgartner, O Oktay, D Rueckert
2017   Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data  Y Liu, B Logan, N Liu, Z Xu, J Tang, Y Wang
2017   Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017, and 7th International …  MJ Cardoso, T Arbel, G Carneiro, T Syeda
2017   Pixel Classification Methods to Detect Skin Lesions on Dermoscopic Medical Images  F Balducci, C Grana 
2017   Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11-13, 2017, Proceedings  MV Hernández, V González
2017   Deep Learning in Genomic and Medical Image Data Analysis: Challenges and Approaches  N Yu, Z Yu, F Gu, T Li, X Tian, Y Pan
2017   Automated Segmentation Of Organ Chambers Using Deep Learning Methods From Medical Imaging  MR Avendi, H Jafarkhani, A Kheradvar
2017   Deep Learning for Medical Image Processing: Overview, Challenges and Future  MI Razzak, S Naz, A Zaib
2017   Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation  M Tang, Z Zhang, D Cobzas, M Jagersand, JL Jaremko 
2017   Intelligent Medical Image Landmark Detection  FC Ghesu, B Georgescu, D Neumann, T Mansi
2017   Formative evaluation impacting the results of summative evaluation-a feedback based cross sectional study carried out among instructors of an international medical …  KM Alsalhanie, S Das, S Abdus
2017   CSC400 ITRG Miniproposal: Deep Learning for High-Resolution 3D Cone Beam CT Medical Image Analysis  W Li
2017   SCL-UMD at the Medico Task-MediaEval 2017: Transfer learning based Classification of Medical Images  T Agrawal, R Gupta, S Sahu, CE Wilson
2017   Predicting healthcare trajectories from medical records: A deep learning approach  T Pham, T Tran, D Phung, S Venkatesh
2017   Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding  Z Che, Y Cheng, Z Sun, Y Liu
2017   A Survey on Deep Learning in Medical Image Analysis  G Litjens, T Kooi, BE Bejnordi, AAA Setio, F Ciompi
2017   CNN-based Segmentation of Medical Imaging Data  B Kayalibay, G Jensen, P van der Smagt
2017   3D Deeply Supervised Network for Automated Segmentation of Volumetric Medical Images  Q Dou, L Yu, H Chen, Y Jin, X Yang, J Qin, PA Heng
2017   Medical image analysis of gastric cancer in digital histopathology: methods, applications and challenges  H Sharma
2017   Machine Learning-as-a-Service and Its Application to Medical Informatics  AP Tafti, E LaRose, JC Badger, R Kleiman, P Peissig
2017   Pattern Classification of Medical Images: Computer Aided Diagnosis  XX Yin, S Hadjiloucas, Y Zhang
2017   An effective recognition method for medical sheet based on deep learning approach  P Duan, Z Li, Y Wang, B Zhang, Y Cao 
2017   Deep convolutional neural networks as a decision support tool in medical problems–malignant melanoma case study  A Kwasigroch, A Mikołajczyk, M Grochowski
2017   Self-Learning Clinical Intelligence System Based On Biological Information And Medical Data Metrics  S Shankar, R Dash, N Desai, JJ Fu 
2017   Deep Learning for Medical Image Analysis  M Rezaei, H Yang, C Meinel
2016   Student-Centred Learning and Engagement in Undergraduate Medical Education Using Peerwise  C Ditchfield, G Stapleton, J Burke
2016   Medical Students Workload: Implication to the European Credit Transfer and Accumulation System in Integrated PBL Curriculum.  E Nosair
2016   A New Data Representation Based on Training Data Characteristics to Extract Drug Name Entity in Medical Text  M Sadikin, MI Fanany, T Basaruddin
2016   Patch-Based Techniques in Medical Imaging: First International Workshop, Patch-MI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, …  G Wu, P Coupé, Y Zhan, B Munsell, D Rueckert
2016   A multiclass classification method based on deep learning for named entity recognition in electronic medical records  X Dong, L Qian, Y Guan, L Huang, Q Yu, J Yang
2016   Recognition of Actions of Medical Workers on the Basis of Accelerometer Readings with the Use of a Deep Belief Network  OA Galkin
2016   An artificial agent for anatomical landmark detection in medical images  FC Ghesu, B Georgescu, T Mansi, D Neumann
2016   Reflection in Medical Education  K Hargreaves
2016   Development and appraisal of a hand hygiene teaching approach for medical students: a qualitative study  R Kaur, H Razee, H Seale
2016   A Mile Wide but 1 Cell Thick: The Need to Prioritize Learning in Graduate Medical Education  GM Sullivan
2016   Medical Image Description Using Multi-task-loss CNN  P Kisilev, E Sason, E Barkan, S Hashoul
2016   Automatic Slice Identification in 3D Medical Images with a ConvNet Regressor  BD de Vos, MA Viergever, PA de Jong, I Išgum
2016   Understanding the Mechanisms of Deep Transfer Learning for Medical Images  H Ravishankar, P Sudhakar, R Venkataramani
2016   A New Data Representation Based on Training Data Characteristics to Extract Drug Named-Entity in Medical Text  S Mujionoa, MI Fananyc, T Basaruddinc
2016   Deep Learning and Data Labeling for Medical Applications: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in …  G Carneiro, D Mateus, P Loïc, A Bradley
2016   Multi-layer Representation Learning for Medical Concepts  E Choi, MT Bahadori, E Searles, C Coffey, J Sun
2016   Deep learning in the small sample size setting: cascaded feed forward neural networks for medical image segmentation  B Gaonkar, D Hovda, N Martin, L Macyszyn
2016   Constraining Word Embeddings by Prior Knowledge–Application to Medical Information Retrieval  X Liu, JY Nie, A Sordoni
2016   Super-resolution of medical image using representation learning  X Yang, S Zhant, C Hu, Z Liang, D Xie
2016   Computer-Aided Diagnosis (Cad) Apparatus And Method Using Consecutive Medical Images  JM Park
2016   A study to evaluate medical different assessment methodolo the approach to learning  M Begum, MA Hassan
2016   Impact of combined modular assessment on deep learningand personal development of medical students  S Ali, HF Khan
2016   Learning strategies, study habits and social networking activity of undergraduate medical students.  A Bickerdike, C O'Deasmhunaigh, S O'Flynn
2016   Deep Learning and Data Labeling for Medical Applications  G Carneiro, D Mateus, L Peter, A Bradley
2016   The Attitudes of Medical Students toward the Importance of Understanding Classical Greek and Latin in the Development of an Anatomical and Medical Vocabulary  S Stephens, BJ Moxham
2016   A Wavelet Deep Belief Network-Based Classifier for Medical Images  A Khatami, A Khosravi, CP Lim, S Nahavandi
2016   Research on the Content-Based Classification of Medical Image  H Yang, F Liu, Z Wang, H Tang, S Sun, S Sun
2016   Machine Learning for Medical Images Analysis  A Criminisi
2016   An Evaluation of Convolutional Neural Nets for Medical Image Anatomy Classification  SA Khan, SP Yong
2016   Motivation of medical students: selection by motivation or motivation by selection  A Wouters, G Croiset, F Galindo
2016   Machine Learning Methods for Medical and Biological Image Computing  R Li
2016   The Role for Virtual Patients in the Future of Medical Education.  NB Berman, SJ Durning, MR Fischer, S Huwendiek
2016   Proposing the Deep Dynamic Bayesian Network as a Future Computer Based Medical System  CM Carbery, AH Marshall, R Woods
2016   Trends and Developments Shaping the Future of Diagnostic Medical Imaging: 2015 Annual Oration in Diagnostic Radiology  JH Thrall
2016   Deep Neural Networks for Fast Segmentation of 3D Medical Images  K Fritscher, P Raudaschl, P Zaffino, MF Spadea
2016   Deep Learning for Multi-task Medical Image Segmentation in Multiple Modalities  P Moeskops, JM Wolterink, BHM van der Velden
2016   Deep Learning in Medical Image Analysis  P Seeböck
2016   Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique  H Greenspan, B van Ginneken, RM Summers
2016   Super Resolution of Medical Image Using Integrated Approach of Deep Learning and Sparse Coding  S Jindal, HG Kaur
2016   Medical Image Synthesis with Context-Aware Generative Adversarial Networks  D Nie, R Trullo, C Petitjean, S Ruan, D Shen
2016   Challenges of Medical Text and Image Processing: Machine Learning Approaches  E Menasalvas, C Gonzalo
2016   Perceptions regarding Problem-Based Learning as a Teaching Learning Strategy among medical students  M Jindal, S Srivastav, H Mahajan, G Baro
2016   Significant Advances in Medical Image Analysisorem  S Bordag
2016   Extracting Clinical entities and their assertions from Chinese Electronic Medical Records Based on Machine Learning  J Wang, Y Peng, B Liu, Z Wu, L Deng, T Jiang
2016   Image and medical annotations using non-homogeneous 2D ruler learning models  L Hong, Q Jin, X Li, Y Huang
2016   Extracting Medical Knowledge from Crowdsourced Question Answering Website  Y Li, C Liu, N Du, W Fan, Q Li, J Gao, C Zhang, H Wu
2015   Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)  T Tran, TD Nguyen, D Phung, S Venkatesh
2015   Overview of the ImageCLEF 2015 medical classification task  AGS de Herrera, H Müller, S Bromuri
2015   Probabilistic combination of classification rules and its application to medical diagnosis  JM Tomczak, M Zięba
2015   Self-regulated learning and academic performance in medical education  SM Lucieer, L Jonker, C Visscher, RMJP Rikers
2015   Piloting a postgraduate medical e-portfolio in an undergraduate medical curriculum  A JONES, TIM VINCENT, J MONTGOMERY, DRI HAQ
2015   Affiliated Institutions Anna University, Chennai Regulation-2013 Be Medical Electronics I To Viii Semesters (Full Time) Curriculum …  S NO
2015   Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings  AF Frangi, J Hornegger, N Navab, WM Wells
2015   Deep Learning for Medical Image Segmentation  M Lai
2015   Manifold Learning with Variational Auto-encoder for Medical Image Analysis  E Park
2015   Medical Image Retrieval: A Multi-modal Approach  Y Cao, S Steffey, J He, D Xiao, C Tao, P Chen, H Müller
2015   Machine Learning in Medical Imaging: 6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, …  L Zhou, L Wang, Q Wang, Y Shi
2015   Autonomy support for autonomous motivation in medical education  RA Kusurkar, G Croiset
2015   Educational environment and psychological distress of medical students: The role of a deep learning approach  MSB Yusoff, WN Arifin
2015   Anatomical landmark detection in medical applications driven by synthetic data  G Riegler, M Urschler, M Rüther, H Bischof, D Stern
2015   Graduate entry and undergraduate medical students' study approaches, stress levels and ways of coping: a five year longitudinal study  S Sandover, D Jonas
2015   Assessing Anatomy as a Basic Medical Science  DD Samarasekera, P Gopalakrishnakone, MCE Gwee
2015   Pre Clinical-Basic Sciences Teaching Curriculum of a Medical School in a Developing Country-Are We Doing it Right?  KR Atukorala, P Atapattu
2015   Apparatus And Method For Visualizing Anatomical Elements In A Medical Image  BH Cho, YK Seong, YH Kim, HY Kim, JH Jeon
2015   Applying deep learning techniques on medical corpora from the World Wide Web: a prototypical system and evaluation  JA Miñarro
2015   Anomaly Detection In Medical Imagery  S Alpert, P Kisilev
2015   Overview of the ImageCLEF 2015 medical clustering task  MA Amin, MK Mohammed
2015   Teaching and learning in medical education: How theory can inform practice  DM Kaufman, KV Mann
2015   Integrated Method of Teaching in Web Quest Activity and Its Impact on Undergraduate Students' Cognition and Learning Behaviors: A Future Trend in Medical …  ZB Jahromi, L Mosalanejad
2015   Faculty Member's Viewpoints about Mentorship in Shiraz University of Medical Sciences, 2012  E Mohammadi, M Amini, M Moattari, N Moaddab
2015   A Novel Approach for Medical Images Noise Reduction Based RBF Neural Network Filter  M Debakla, K Djemal, M Benyettou
2015   Medical Image Deep Learning with Hospital PACS Dataset  J Cho, K Lee, E Shin, G Choy, S Do
2015   Exam Success at Undergraduate and Graduate-Entry Medical Schools: Is Learning Style or Learning Approach More Important? A Critical Review Exploring Links …  AM Feeley, DL Biggerstaff
2015   Progress testing in the medical curriculum: students' approaches to learning and perceived stress  Y Chen, M Henning, J Yielder, R Jones, A Wearn
2014   Exploration of preferred learning styles in medical education using VARK modal  L Khanal, S Shah, S Koirala
2014   0035 Simphys: The Use Of High-fidelity Simulation To Teach Physiology To Early-years Medical Students  E Good
2014   Adapting Linguistic Tools for the Analysis of Italian Medical Records  G Attardi, V Cozza, D Sartiano
2014   Machine Learning for Medical Applications  H Zhou, J Tang, H Zheng
2014   Medical Semantic Similarity with a Neural Language Model  L De Vine, G Zuccon, B Koopman, L Sitbon, P Bruza
2014   The Way into the Profession: Medical Students' Experiences During Their Clerkship  R Korte, H Han, NK Roberts