Extreme Programming: A More Musical Approach to Software Development?. - Andrew Johnston; Chris S. Johnson (XP, 2003)

Creativity, Music and Computers: Guidelines for Computer-Based Instrumental Music Support Tools. - Andrew Johnston; Ernest A. Edmonds (ACIS, 2004)

Amplifying reflective thinking in musical performance. - Andrew Johnston; Shigeki Amitani; Ernest A. Edmonds (Creativity & Cognition, 2005)

An Artistic Approach to Designing Visualisations to Aid Instrumental Music Learning. - Andrew Johnston; Benjamin Marks; Ernest A. Edmonds (CELDA, 2005)

Partial reflections: interactive virtual instruments controlled by sound. - Andrew Johnston; Benjamin Marks (Creativity & Cognition, 2007)

Sound Controlled Musical Instruments Based on Physical Models. - Andrew Johnston; Benjamin Marks; Linda Candy (ICMC, 2007)

Designing for Conversational Interaction. - Andrew Johnston; Linda Candy; Ernest A. Edmonds (NIME, 2009)

Interfaces for musical expression based on simulated physical models - Andrew Johnston (2009)

Towards a Non-Disruptive, Practical and Objective Automated Playtesting Process. - Chek Tien Tan; Andrew Johnston (IDP@AIIDE, 2011)

Beyond Evaluation: Linking Practice and Theory in New Musical Interface Design. - Andrew Johnston (NIME, 2011)

Visual feedback of acoustic data for speech therapy: model and design parameters. - Sam Ferguson; Andrew Johnston; Kirrie J. Ballard; Chek Tien Tan; Dharani Perera-Schulz (Audio Mostly Conference, 2012)

Knowledge alliances and innovation performance: an empirical perspective on the role of network resources. - Robert Huggins; Andrew Johnston (Int. J. Technol. Manag., 2012)

'I & I, ' a new piece for the AirSticks: a new interface for electronic percussionists. - Alon Ilsar; Mark Havryliv; Andrew Johnston (Creativity & Cognition, 2013)

Sound stream. - Andrew Johnston; Linda Walsh (Creativity & Cognition, 2013)

sPeAK-MAN: towards popular gameplay for speech therapy. - Chek Tien Tan; Andrew Johnston; Kirrie J. Ballard; Sam Ferguson; Dharani Perera-Schulz (IE, 2013)

Representational systems with tangible and graphical elements. - Rodney Berry; Ernest A. Edmonds; Andrew Johnston (ISMAR, 2013)

A corpus-based method for controlling guitar feedback. - Sam Ferguson; Aengus Martin; Andrew Johnston (NIME, 2013)

Fluid Simulation as Full Body Audio-Visual Instrument. - Andrew Johnston (NIME, 2013)

Keeping Research in Tune with Practice. - Andrew Johnston (Interactive Experience in the Digital Age, 2014)

Creative Control of Granular Synthesis Using Fluid Simulation & Motion Tracking. - Andrew Bluff; Andrew Johnston (MOCO, 2014)

Evaluating the Performance of a New Gestural Instrument Within an Ensemble. - Alon Ilsar; Mark Havryliv; Andrew Johnston (NIME, 2014)

Retrogaming as visual feedback for speech therapy. - Chek Tien Tan; Andrew Johnston; Andrew Bluff; Sam Ferguson; Kirrie J. Ballard (SIGGRAPH ASIA Mobile Graphics and Interactive Applications, 2014)

Speech invaders & yak-man: retrogames for speech therapy. - Chek Tien Tan; Andrew Johnston; Andrew Bluff; Sam Ferguson; Kirrie J. Ballard (SIGGRAPH ASIA Mobile Graphics and Interactive Applications, 2014)

Remote Control of Complex Interactive Art Installations. - Andrew Bluff; Andrew Johnston (Creativity & Cognition, 2015)

Choreography in the Mapping of New Instruments. - Alon Ilsar; Andrew Johnston (Creativity & Cognition, 2015)

Conceptualising interaction in live performance: reflections on 'encoded'. - Andrew Johnston (MOCO, 2015)

Music and HCI. - Simon Holland; Andrew P. McPherson; Wendy E. Mackay; Marcelo M. Wanderley; Michael D. Gurevich; Tom W. Mudd; Sile O'Modhrain; Katie L. Wilkie; Joseph W. Malloch; Jérémie Garcia; Andrew Johnston (CHI Extended Abstracts, 2016)

Reflection On Action in NIME Research: Two Complementary Perspectives. - Benjamin Carey; Andrew Johnston (NIME, 2016)

Designing for technicians working in the field: 8 usability heuristics for mobile application design. - Andrew Johnston; Michelle Pickrell (OZCHI, 2016)

Storytelling with Interactive Physical Theatre: A case study of Dot and the Kangaroo. - Andrew Bluff; Andrew Johnston (MOCO, 2017)

The liberation of the feet: demaking the high heeled shoe for theatrical audio-visual expression. - Alexandra Murray-Leslie; Andrew Johnston (NIME, 2017)

Creature: interactions: a social mixed-reality playspace. - Andrew Bluff; Andrew Johnston (SIGGRAPH Art Gallery, 2017)

Water, image, gesture and sound: composing and performing an interactive audiovisual work. - Linda Walsh; Andrew Bluff; Andrew Johnston (Digit. Creativity, 2017)

Investigating Concurrent Speech-based Designs for Information Communication. - Muhammad Abu ul Fazal; Sam Ferguson; Andrew Johnston (Audio Mostly Conference, 2018)

Impact of Virtual Environments on Motivation and Engagement During Exergames. - Steven Schmidt 001; Patrick Ehrenbrink; Benjamin Weiss 001; Jan-Niklas Voigt-Antons; Tanja Kojic; Andrew Johnston; Sebastian Möller 001 (QoMEX, 2018)

Interaction, Narrative and Animation in Live Theatre. - Andrew Bluff; Andrew Johnston; David Clarkson (IEEE Computer Graphics and Applications, 2018)

Devising Interactive Theatre: Trajectories of Production with Complex Bespoke Technologies. - Andrew Bluff; Andrew Johnston (Conference on Designing Interactive Systems, 2019)

Vinfomize: A Framework for Multiple Voice-based Information Communication. - Muhammad Abu ul Fazal; Sam Ferguson; M. Shuaib Karim; Andrew Johnston (ICISDM, 2019)

PrivateJobMatch: a privacy-oriented deferred multi-match recommender system for stable employment. - Amar Saini; Florin Rusu; Andrew Johnston (RecSys, 2019)

Don't Panic: Recursive Interactions in a Miniature Metaworld. - Andrew Bluff; Andrew Johnston (VRCAI, 2019)

Determining Project Contingency Reserve Using a Fuzzy Arithmetic-Based Risk Analysis Method. - Seyed Hamed Fateminia; Nasir Bedewi Siraj; Aminah Robinson Fayek; Andrew Johnston (HICSS, 2020)

URack: Audio-visual Composition and Performance using Unity and VCV Rack. - Matthew Hughes; Andrew Johnston (NIME, 2020)

NIME or Mime: A Sound-First Approach to Developing an Audio-Visual Gestural Instrument. - Alon Ilsar; Matthew Hughes; Andrew Johnston (NIME, 2020)

Investigating efficient speech-based information communication: a comparison between the high-rate and the concurrent playback designs. - Muhammad Abu ul Fazal; Sam Ferguson; Andrew Johnston (Multim. Syst., 2020)

Identifying Extremism in Text Using Deep Learning. - Andrew Johnston; Angjelo Marku (Development and Analysis of Deep Learning Architectures, 2020)

Evaluation of Information Comprehension in Concurrent Speech-based Designs. - Muhammad Abu ul Fazal; Sam Ferguson; Andrew Johnston (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Machine Art: Exploring Abstract Human Animation Through Machine Learning Methods. - Jamal Knight; Andrew Johnston; Adam Berry (MOCO, 2022)

Machine Learning for a Sustainable Energy Future. - Zhenpeng Yao; Yanwei Lum; Andrew Johnston; Luis Martin Mejia-Mendoza; Xin Zhou 003; Yonggang Wen 001; Alán Aspuru-Guzik; Edward H. Sargent; Zhi Wei Seh (CoRR, 2022)

MIMC: Anomaly Detection in Network Data via Multiple Instances of Micro-Cluster Detection. - Rafael Copstein; Brad Niblett; Andrew Johnston; Jeff Schwartzentruber; Malcolm I. Heywood; Nur Zincir-Heywood (CNSM, 2023)

A Boosting Approach to Constructing an Ensemble Stack. - Zhilei Zhou; Ziyu Qiu; Brad Niblett; Andrew Johnston; Jeffrey Schwartzentruber; Nur Zincir-Heywood; Malcolm I. Heywood (EuroGP, 2023)

The Aria-S1-Gunw: The ARIA Sentinel-1 Geocoded Unwrapped Phase Product for Open Insar Science and Disaster Response. - David Bekaert; Nicholas Arena; M. Grace Bato; Brett Buzzanga; Marin Govorcin; Emre Havazli; Kirk Hogenson; Hook Hua; Andrew Johnston; Mohammed Karim; Joseph H. Kennedy; Zhong Lu; et al. (IGARSS, 2023)

Clover Connections: Visualising Character Dynamics in Novels for Non-Experts. - Natalie House; Andrew Johnston (OZCHI, 2023)

Artistic control over the glitch in AI-generated motion capture. - Jamal Knight; Andrew Johnston; Adam Berry (CoRR, 2023)

Bending the light: Next generation anamorphic sculptures. - Louis Pratt; Andrew Johnston; Nico Pietroni (Comput. Graph., 2023)

Understanding cancer patient cohorts in virtual reality environment for better clinical decisions: a usability study. - Zhonglin Qu; Quang Vinh Nguyen; Chng Wei Lau; Andrew Johnston; Paul J. Kennedy; Simeon Simoff; Daniel R. Catchpoole (BMC Medical Informatics Decis. Mak., 2023)

RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports. - Jean-Benoit Delbrouck; Pierre J. Chambon; Zhihong Chen; Maya Varma; Andrew Johnston; Louis Blankemeier; Dave Van Veen; Tan Bui; Steven Quoc Hung Truong; Curtis P. Langlotz (ACL (Findings), 2024)

Aural Architects: Exploring Professional Practice in Videogame Audio. - Jacob Diffen; Andrew Johnston; Robert Sazdov (Audio Mostly Conference, 2024)

Keeping your ears on the virtual ground: Expert insights on virtual reality audio techniques and challenges. - Jacob Hedges; Robert Sazdov; Andrew Johnston (Audio Mostly Conference, 2024)

Overview of the First Shared Task on Clinical Text Generation: RRG24 and "Discharge Me!". - Justin Xu; Zhihong Chen; Andrew Johnston; Louis Blankemeier; Maya Varma; Jason Hom; William J. Collins; Ankit Modi; Robert Lloyd; Benjamin Hopkins; Curtis P. Langlotz; Jean-Benoit Delbrouck (BioNLP@ACL, 2024)

Message Bank. - Nick Atkins; Andrew Johnston; Ahmet Baki Kocaballi (MOCO, 2024)

CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation. - Zhihong Chen; Maya Varma; Jean-Benoit Delbrouck; Magdalini Paschali; Louis Blankemeier; Dave Van Veen; Jeya Maria Jose Valanarasu; Alaa Youssef; Joseph Paul Cohen; Eduardo Pontes Reis; Emily Bao Tsai; Andrew Johnston; et al. (CoRR, 2024)

Merlin: A Vision Language Foundation Model for 3D Computed Tomography. - Louis Blankemeier; Joseph Paul Cohen; Ashwin Kumar; Dave Van Veen; Syed Jamal Safdar Gardezi; Magdalini Paschali; Zhihong Chen; Jean-Benoit Delbrouck; Eduardo Pontes Reis; Cesar Truyts; Christian Bluethgen; Malte Engmann Kjeldskov Jensen; et al. (CoRR, 2024)

Detecting Underdiagnosed Medical Conditions with Deep Learning-Based Opportunistic CT Imaging. - Asad Aali; Andrew Johnston; Louis Blankemeier; Dave Van Veen; Laura T. Derry; David Svec; Jason Hom; Robert D. Boutin; Akshay S. Chaudhari (CoRR, 2024)

Overview of the First Shared Task on Clinical Text Generation: RRG24 and "D$ischarge Me!". - Justin Xu; Zhihong Chen; Andrew Johnston; Louis Blankemeier; Maya Varma; Jason Hom; William J. Collins; Ankit Modi; Robert Lloyd; Benjamin Hopkins; Curtis P. Langlotz; Jean-Benoit Delbrouck (CoRR, 2024)

Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis. - Eva Prakash; Jeya Maria Jose Valanarasu; Zhihong Chen; Eduardo Pontes Reis; Andrew Johnston; Anuj Pareek; Christian Bluethgen; Sergios Gatidis; Cameron Olsen; Akshay Chaudhari; Andrew Y. Ng; Curtis P. Langlotz (CoRR, 2024)

Assessing the impact of bag-of-words versus word-to-vector embedding methods and dimension reduction on anomaly detection from log files. - Ziyu Qiu; Zhilei Zhou; Brad Niblett; Andrew Johnston; Jeffrey Schwartzentruber; Nur Zincir-Heywood; Malcolm I. Heywood (Int. J. Netw. Manag., 2024)

Automated Structured Radiology Report Generation. - Jean-Benoit Delbrouck; Justin Xu; Johannes Moll; Alois Thomas; Zhihong Chen; Sophie Ostmeier; Asfandyar Azhar; Kelvin Zhenghao Li; Andrew Johnston; Christian Bluethgen; Eduardo Pontes Reis; Mohamed S. Muneer; et al. (ACL (1), 2025)

LLM enabled classification of patient self-reported symptoms and needs in health systems across the USA. - Bilal A. Naved; Shravan Ravishankar; Georges E. Colbert; Andrew Johnston; Quintan M. Slott; Yuan Luo 001 (npj Digit. Medicine, 2025)

Automated Real-time Assessment of Intracranial Hemorrhage Detection AI Using an Ensembled Monitoring Model (EMM). - Zhongnan Fang; Andrew Johnston; Lina Cheuy; Hye Sun Na; Magdalini Paschali; Camila González; Bonnie A. Armstrong; Arogya Koirala; Derrick Laurel; Andrew Campion; Michael Iv; Akshay S. Chaudhari; et al. (CoRR, 2025)

Automated Structured Radiology Report Generation. - Jean-Benoit Delbrouck; Justin Xu; Johannes Moll; Alois Thomas; Zhihong Chen; Sophie Ostmeier; Asfandyar Azhar; Kelvin Zhenghao Li; Andrew Johnston; Christian Bluethgen; Eduardo Pontes Reis; Mohamed Muneer; et al. (CoRR, 2025)

Expert-level validation of AI-generated medical text with scalable language models. - Asad Aali; Vasiliki Bikia; Maya Varma; Nicole Chiou; Sophie Ostmeier; Arnav Singhvi; Magdalini Paschali; Ashwin Kumar; Andrew Johnston; Karimar Amador-Martinez; Eduardo Juan Perez Guerrero; Paola Naovi Cruz Rivera; et al. (CoRR, 2025)