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deep learning

77 papers and 15 presentations; 87 titles.

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Conference × Year × Title × Authors Extras Pages
PHUSE APAC 2026 Integrating Real-World Evidence (RWE) and Digital Health Technologies (DHTs) with AI for Enhanced Patient Outcomes (RE) Varun Sethuraman source
presentation source		 10
PHUSE EU 2025 How to Identify and Operationalize GenAI Use Cases Which Really Help You Christoph Bergen,
Luis Wirth		 source
presentation source		 8
SESUG 2025 Short-term forecasting with a computationally efficient nonparametric transfer function model Jun Liu 31
PHUSE US 2025 "Will AI Render Programmers Obsolete?" Kishore Pothuri,
Ajay Gunda		 source 5
PHUSE US 2025 LLMs in Drug Development - The Future is Closer Than We Think Chris McSpiritt source
presentation source		 9
PHUSE US 2025 Synthetic Data Will Save the Day: Fact or Fiction Sherrine Eid source
presentation source		 7
MWSUG 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 7
MWSUG 2024 Developing Artificial and Convolutional Neural Networks with Python's Keras API for TensorFlow Ryan Paul Lafler,
Anna T. K. Wade		 source 18
MWSUG 2024 Making Text Analytics More Approachable: From Traditional to Generative AI for Business Applications [presentation] Vikranth Reddy Chapaala source 13
MWSUG 2024 Teaching Your Computer to See: Using Computer Vision to Detect Defects [presentation] Scott Koval source 23
PHUSE EU 2024 Advancing Kidney Assessments for Transplants with AI-driven Applications Federica Citterio,
Soundarya Palanisamy		 source
presentation source		 8
SESUG 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 7
SESUG 2024 Developing Artificial and Convolutional Neural Networks with Python's Keras API for TensorFlow Ryan Paul Lafler,
Anna T. K. Wade		 source 18
WUSS 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 6
WUSS 2024 Developing Artificial and Convolutional Neural Networks with Python's Keras API for TensorFlow Ryan Paul Lafler,
Anna T. K. Wade		 source 18
WUSS 2024 X-Ray Image Classification with Neural Networks Riley Rutan,
Eric C Braga,
Xinyu Du		 source 10
PharmaSUG CN 2024 Application of Natural Language Processing with R in clinical trials Feifeng Zhou,
Zhenchao Chen		 source 11
PharmaSUG 2024 Unraveling the Layers within Neural Networks: Designing Artificial and Convolutional Neural Networks for Classification and Regression Using Python-s Keras & TensorFlow Ryan Paul Lafler,
Anna T. K. Wade		 source 18
PHUSE US 2024 Empowering Healthcare Through Generative AI Ravindra Shukla,
Aman Bahl		 source
presentation source		 7
PHUSE US 2024 Evaluating Safety Compliance in Clinical Trials by Leveraging Patient Narratives and Deep Learning Sherrine Eid,
Sundaresh Sankaran		 source
presentation source		 9
PHUSE US 2024 Large Language Models to Support RBM and Clinical Trial Development Sebastiaan Höppner,
Laura Trotta		 source
presentation source		 5
PHUSE US 2024 The Role of AI (ML/NLP/Deep Learning) in Handling Sensitive/Confidential Data Divya Kanniah,
Swetha Balaji		 source
presentation source		 3
PHUSE EU 2023 Exploring Antidepressant Side Effects in the UK Through Topic Modelling and Social Media Analysis Khalid Ismail,
Amna Dridi		 source
presentation source		 13
PHUSE EU 2023 GPT (Generative Pretrained Transformers) and LLM (Large Language Models) have generated a lot of attention since their inception in early 2023 with the advent of OpenAI GPT3.5, then GPT4.0 Jerome Vetillard,
Mark Lambrecht		 source
presentation source		 16
PHUSE EU 2023 Using Machine learning for building a demonstrative model to counter the under-diagnosis of dementia Ashapriya Sebastian source
presentation source		 12
WUSS 2023 Unraveling the Layers within Neural Networks: Designing Artificial and Convolutional Neural Networks for Classification and Regression Tasks using TensorFlow in Python Ryan Paul Lafler,
Anna T. K. Wade		 source 24
PharmaSUG 2023 Deep Learning to Classify Adverse Events from Patient Narratives Tom Sabo,
Sundaresh Sankaran,
Qais Hatim		 source 11
PHUSE US 2023 Introduction to Machine Learning Models, How to Train Them and What to Do if They Become Sassy [presentation] Thomas Kalfas source 34
PHUSE EU 2022 Deep Learning to Classify Adverse Events from Patient Narratives [presentation] Qais Hatim,
Tom Sabo		 source
video		 12
PharmaSUG 2022 Generating statistical Tables, Listings, and figures using machine learning, deep learning, and NLP techniques that provide more efficiency to the statistical programming process Farha Feroze,
Ilango Ramanujam		 source 3
PHUSE US 2022 A Deep-learning-based Virtual Assistant for Better and Faster Clinical Insights Aditya Gadiko,
Nekzad Shroff		 source
presentation source		 10
PHUSE US 2022 Bias in Machine Learning: Your Responsibilities as a Programmer [presentation] Jim Box source 34
PHUSE EU 2021 Deep Active Learning for Clinical Entity Recognition [presentation] Nadia Abraham source
video		 33
PHUSE EU 2021 The Concept of IoT - The Next Generation of Statistical Computing Platform [presentation] Huadan Li,
Zhiping Yan		 source
video		 20
PHUSE US 2021 Application of Machine Learning (ML) in Tumor Detection in Oncology Study Animesh Patel source
video
presentation source		 5
PHUSE US 2021 Automate Scientific Document such as CSR Generation using ML/NLP [presentation] Farha Feroze source
video		 13
PHUSE US 2021 Using Computer Vision to Identify and Extract Tables from Various File Formats [presentation] Kanishk Mair,
Shashank Pagidimarri		 source
video		 22
PHUSE US 2021 Visual Programming for ADaM Derivation [presentation] Clara Beck,
Robert Adams		 source
video		 33
PharmaSUG 2021 How I became a Machine Learning Engineer from a Statistical Programmer Kevin Lee source 4
SGF 2021 Automated Vehicle Odometer Reading Using SAS for AI and Computer Vision Tyler Rosacker,
Kedar Prabhudesai,
Hardi Desai,
Neela Vengateshwaran,
Varunraj Valsaraj		 source
pdf		 17
SGF 2021 Deep Learning to Classify Adverse Events from Patient Narratives [presentation] Qais Hatim,
Tom Sabo		 source 19
SGF 2021 Developing a SAS Deep Learning MedDRA encoder (MedDRA-DeepCoder) for Patient Narratives Qais Hatim source 11
SGF 2021 Let's enjoy the computer vision using SAS Viya! Shinjo Yada,
Ryuji Uozumi		 source 19
PHUSE EU 2020 Unlocking the Potential of Big Data in Clinical Research [presentation] Vishal Kapoor source
video		 15
SGF 2020 Achieving Net-Zero: Forecasting Power Usage to Improve Sustainability on Clemson University's Campus David L. White source 10
SGF 2020 Architecting SAS Analytics Edge-to-Cloud Solutions on Hewlett Packard Enterprise Infrastructure Mark Barnum,
Kannan Mani		 source 24
SGF 2020 Bringing Computer Vision to the Edge: An Overview of Real-Time Image Analysis with SAS Maggie Du source 15
SGF 2020 Computer-Aided Diagnosis System for Breast Ultrasound Images Using Deep Learning [presentation] Hiroki Tanaka source 6
SGF 2020 Deploying Computer Vision by Combining Deep Learning Action Sets with Open-Source Technology Jonny McElhinney,
Duncan Bain,
Haidar Altaie		 source 20
SGF 2020 Multilingual Sentiment Analysis: An RNN-Based Framework for Limited Data Ethem Can,
Aysu Ezen-Can		 source 7
SGF 2020 NLP with BERT: Sentiment Analysis Using SAS Deep Learning and DLPy Doug Cairns,
Xiangxiang Meng		 source 11
SGF 2020 Transfer Learning for Mining Digital Phenotype by SAS Viya Satoki Fujita source 18
SGF 2020 Using Python with Model Studio for SAS Visual Data Mining and Machine Learning Jagruti Kanjia source 35
PharmaSUG 2020 Gradient Descent: Using SAS for Gradient Boosting Karen Walker source 11
PHUSE US 2020 Accelerating Translational Research by Leveraging AI and Machine Learning Leveraging AI source
presentation source		 9
PHUSE US 2020 Disruption is Personal: RWE and AI Changing the Game for Personalized Medicine Arnab Goswami source
presentation source		 7
PHUSE US 2020 R & Python for Clinical Workflows Philip Bowsher source 13
PHUSE US 2020 R for Deep Learning with Tensorflow with Applications in Cancer Immunotherapy Philip Bowsher source 14
PHUSE EU 2019 Preparing Big Data for Analysis Thomas Ellebæk source
poster source		 4
PHUSE EU 2019 The Impact of AI, RWE, Precision Medicine and Mobile Health Technology on Streamlined Clinical Trials Stijn Rogiers,
Olivier Bouchard		 source
presentation source		 11
PHUSE EU 2019 Using Image recognition in production support Thomas Dekelver source
presentation source		 8
PHUSE EU 2019 Using R to build artificial neural networks in medical data Thomas Wollseifen source
presentation source		 17
SESUG 2019 Face Recognition Using SAS Viya: Guess Who the Person Is! Pratyush Dash source 6
PharmaSUG 2019 An Introduction to the Process of Improving a Neural Network YuTing Tian source 22
PharmaSUG 2019 Artificial Intelligence and Real World Evidence - it takes two to tango Charan Kumar Kuyyamudira Janardhana source 9
PharmaSUG 2019 Get to the Meat on Machine Learning Aadesh Shah source 4
PharmaSUG 2019 Hands-on Training for Machine Learning Programming Kevin Lee source 12
SGF 2019 An Introduction to the Process of Improving a Neural Network YuTing Tian source 22
SGF 2019 Exploring Computer Vision in Deep Learning: Object Detection and Semantic Segmentation Xindian Long,
Maggie Du,
Xiangqian Hu		 source 20
SGF 2019 How to Use Deep Learning with Your Internet of Things (IoT) Digital Twin Bradley W. Klenz source 9
SGF 2019 Make SAS Viya Realize Strategic Data Science - Data Governance, AI Platform and AI SAS Programmer Ryo Kiguchi,
Katsunari Hirano,
Yoshitake Kitanishi		 source 8
SGF 2019 Medical Image Analytics in SAS Viya for the Treatment of Colorectal Cancer Spread to the Liver Fijoy Vadakkumpadan,
Joost Huiskens		 source 11
SGF 2019 Modeling with Deep Recurrent Architectures: A Case Study of Using SAS and Python for Deep Learning Linh H. Le,
Ying Xie		 source 12
PHUSE US 2019 Artificial Intelligence and Healthcare Aman Bahl,
Hrideep Antony		 source
presentation source		 10
PHUSE US 2019 New Drug Development Paradigm [presentation] Francis Kendall,
Cytel		 source 33
PHUSE US 2019 Smart Transformation of Clinical & Nonclinical Data for Insights Isaac Mativo,
Raja Ramesh,
Phaneendra Bonda		 source
presentation source		 1
PHUSE EU 2018 Want to Get Started with Deep Learning? Prototyping a Deep Learning Image Classifier Thomas Ellebaek source
presentation source		 9
MWSUG 2018 An Introduction to the Process of Improving a Neural Network YuTing Tian 22
WUSS 2018 Deep neural nets in SAS Enterprise Miner Russell M. Lavery source 49
PHUSE US 2018 Mine the Gap: How the Role of Data Scientist Fills a Need in the Pharmaceutical Industry Michael S Rimler,
Jorine Putter		 source
presentation source		 8
SGF 2018 Are New Modeling Techniques Worth It? Tom Zougas source 8
SGF 2018 Biomedical Image Analytics Using SAS Viya Fijoy Vadakkumpadan,
Saratendu Sethi		 source 12
SGF 2018 Image Classification Using SAS Enterprise Miner 14.1 Akshay Arora source 5
SGF 2018 Image Processing: Seeing the World through the Eyes of SAS Viya Ivan Gomez source 11
SGF 2018 Innovating Government Decision-Making through Analytics Steve Bennett source 19
SGF 2018 New Frontiers in Pricing Analytics [presentation] Sharat Mathur source 22
SGF 2018 Real-Time Image Processing and Analytics Using SAS Event Stream Processing Frederic Combaneyre source 10
SESUG 2017 Can A SAS Programmer Stay Cool Jiangtang Hu source 6
SGF 2017 The Rise of the Machines, Analytics, and Humans: Artificial Intelligence in the Age of the IIoT Kathy Ball,
Robert Silverman		 source 10
MWSUG 2016 An Animated Guide: Deep Neural Networks in SAS Enterprise Miner Russell M. Lavery 47
PHUSE EU 2015 The Technology of Context Ian Fleming,
John Leveille		 source
presentation source		 52
SGF 2014 An Overview of Machine Learning with SAS Enterprise Miner Patrick Hall,
Jared Dean,
Ilknur Kaynar Kabul,
Jorge Silva		 source
zip		 24

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