Andrew Lin

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 11

Top Topics

Human Robot Interaction

Lesion Segmentation

Computed Tomography

Top Venues

Medical Imaging: Image Processing

Publications

Darren Ng, Andrew Lin, Arjun Kashyap, Guanpeng Li, Xiaoyi Lu
NVMe-oPF: Designing Efficient Priority Schemes for NVMe-over-Fabrics with Multi-Tenancy Support. IPDPS (2024)
Nipun Manral, Andrew Lin, Caroline Park, Priscilla McElhinney, Aditya Killekar, Hidenari Matsumoto, Jacek Kwiecinski, Konrad Pieszko, Aryabod Razipour, Kajetan Grodecki, Mhairi Doris, Alan C. Kwan, Donghee Han, Keiichiro Kuronuma, Guadalupe Flores Tomasino, Evangelos Tzolos, Aakash D. Shanbhag, Markus Goeller, Mohamed Marwan, Sebastien Cadet, Stephen Achenbach, Stephen J. Nicholls, Dennis T. Wong, Daniel S. Berman, Marc R. Dweck, David E. Newby, Michelle C. Williams, Piotr J. Slomka, Damini Dey
Direct head-to-head comparison of convolutional long short-term memory and transformer networks for artificial Intelligence-based quantification of atherosclerotic plaque and stenosis from coronary CT angiography. Medical Imaging: Image Processing (2023)
Kiriaki Frangias, Andrew Lin, Ellen Vitercik, Manolis Zampetakis
Algorithmic Contract Design for Crowdsourced Ranking. CoRR (2023)
Aditya Killekar, Kajetan Grodecki, Andrew Lin, Sebastien Cadet, Priscilla McElhinney, Aryabod Razipour, Cato Chan, Barry D. Pressman, Peter Julien, Peter Chen, Judit Simon, Nitesh Nerlekar, Pál Maurovich-Horvat, Nicola Gaibazzi, Udit Thakur, Elisabetta Mancini, Cecilia Agalbato, Jiro Munechika, Hidenari Matsumoto, Roberto Menè, Damini Dey, Gianfranco Parati, Franco Cernigliaro, Camilla Torlasco, Gianluca Pontone, Piotr J. Slomka
COVID-19 lesion segmentation using convolutional LSTM for self-attention. Medical Imaging: Image Processing (2022)
Darren Ng, Colin Schmierer, Andrew Lin, Zeyu Liu, Falin Yu, Shawn D. Newsam, Reza Ehsani, Xiaoyi Lu
Benchmarking Object Detection Models with Mummy Nuts Datasets. Bench (2022)
Kajetan Grodecki, Aditya Killekar, Andrew Lin, Sebastien Cadet, Priscilla McElhinney, Aryabod Razipour, Cato Chan, Barry D. Pressman, Peter Julien, Judit Simon, Pal Maurovich-Horvat, Nicola Gaibazzi, Udit Thakur, Elisabetta Mancini, Cecilia Agalbato, Jiro Munechika, Hidenari Matsumoto, Roberto Menè, Gianfranco Parati, Franco Cernigliaro, Nitesh Nerlekar, Camilla Torlasco, Gianluca Pontone, Damini Dey, Piotr J. Slomka
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks. CoRR (2021)
Jonathan Jaramillo, Andrew Lin, Emma Sung, Isabel Jane Hunt Richter, Kirstin Petersen
Mobile, Inflatable Interface to Support Human Robot Interaction Studies. UR (2021)
Andrew Lin
Learning Cube Strategy in Backgammon with Neural Networks. TAAI (2020)
Andrew Lin
Playing AI Dots-And-Boxes Using Endgame Theory and Nimstring Sprague-Grundy Values. TAAI (2020)
Lisa Wu, David Bruns-Smith, Frank A. Nothaft, Qijing Huang, Sagar Karandikar, Johnny Le, Andrew Lin, Howard Mao, Brendan Sweeney, Krste Asanovic, David A. Patterson, Anthony D. Joseph
FPGA Accelerated INDEL Realignment in the Cloud. HPCA (2019)
Andrew Lin
Using Combinatorial Solutions and Atomic Weights to Play Competitive AI Clobber. TAAI (2019)
Charlynn Clayton, Andrew Lin, Janine Pitt
Key Intelligence Topics (KITs) and Key Intelligence Questions (KIQs) in safety signal intelligence. FUSION (2011)
Andrew Lin
Solving election manipulation using integer partitioning problems. AAMAS (2011)
Andrew Lin
The Complexity of Manipulating k-Approval Elections. ICAART (2) (2011)
Andrew Lin
The Complexity of Manipulating $k$-Approval Elections CoRR (2010)