A 0.4-4-Gb/s CMOS quad transceiver cell using on-chip regulated dual-loop PLLs. - Kun-Yung Ken Chang; Jason Wei; Charlie Huang; Simon Li; Kevin S. Donnelly; Mark Horowitz; Yingxuan Li; Stefanos Sidiropoulos (IEEE J. Solid State Circuits, 2003)

Replica compensated linear regulators for supply-regulated phase-locked loops. - Elad Alon; Jaeha Kim; Sudhakar Pamarti; Ken Chang; Mark Horowitz (IEEE J. Solid State Circuits, 2006)

Session 20 - Advanced wireline techniques. - Ed van Tuijl; Ken Chang (CICC, 2008)

Clocking circuits for a 16Gb/s memory interface. - Ting Wu 003; Xudong Shi 004; Kambiz Kaviani; Haechang Lee; Jung-Hoon Chun; T. J. Chin; Jie Shen 010; Rich Perego; Ken Chang (CICC, 2008)

A 16 Gb/s/Link, 64 GB/s Bidirectional Asymmetric Memory Interface. - Haechang Lee; Kun-Yung Ken Chang; Jung-Hoon Chun; Ting Wu 003; Yohan Frans; Brian S. Leibowitz; Nhat Nguyen; T. J. Chin; Kambiz Kaviani; Jie Shen 010; Xudong Shi 004; Wendemagegnehu T. Beyene; et al. (IEEE J. Solid State Circuits, 2009)

Low-skew clock distribution using zero-phase-clock-buffer DLLs. - Ting Wu 003; Farshid Aryanfar; Haechang Lee; Jie Shen 010; T. J. Chin; Carl W. Werner; Ken Chang (ISSCC, 2010)

Ultra-low voltage VLSIs for energy efficient systems. - Ken Takeuchi; Ken Chang; Kevin Zhang; Tadaaki Yamauchi; Roberto Gastaldi (ISSCC, 2011)

Design of high-speed wireline transceivers for backplane communications in 28nm CMOS. - Jafar Savoj; Kenny C.-H. Hsieh; Parag Upadhyaya; Fu-Tai An; Jay Im; Xuewen Jiang; Jalil Kamali; Kang Wei Lai; Zhaoyin Daniel Wu; Elad Alon; Ken Chang (CICC, 2012)

A 4.1pJ/b 16Gb/s coded differential bidirectional parallel electrical link. - Amir Amirkhany; Kambiz Kaviani; Ali-Azam Abbasfar; H. Md. Shuaeb Fazeel; Wendemagegnehu T. Beyene; Chikara Hoshino; Chris J. Madden; Ken Chang; Chuck Yuan (ISSCC, 2012)

Session 19 overview: 20+ Gb/s wireline transceivers and injection-locked clocking: Wireline subcommittee. - Ken Chang; SeongHwan Cho (ISSCC, 2012)

10-40 Gb/s I/O design for data communications. - Ken Chang; Tony Chan Carusone; Ali Sheikholeslami; Bob Payne; Miki Moyal; John T. Stonick; Hisakatsu Yamaguchi (ISSCC, 2012)

A 0.4mW/Gb/s 16Gb/s near-ground receiver front-end with replica transconductance termination calibration. - Kambiz Kaviani; Amir Amirkhany; Charlie Huang; Phuong Le; Chris J. Madden; Keisuke Saito; Koji Sano; Vinod Murugan; Wendemagegnehu T. Beyene; Ken Chang; Chuck Yuan (ISSCC, 2012)

A wide common-mode fully-adaptive multi-standard 12.5Gb/s backplane transceiver in 28nm CMOS. - Jafar Savoj; Kenny C.-H. Hsieh; Parag Upadhyaya; Fu-Tai An; Ade Bekele; Stanley Chen; Xuewen Jiang; Kang Wei Lai; Chi Fung Poon; Aman Sewani; Didem Turker; Karthik Venna; et al. (VLSIC, 2012)

A 4.1-pJ/b, 16-Gb/s Coded Differential Bidirectional Parallel Electrical Link. - Amir Amirkhany; Kambiz Kaviani; Ali-Azam Abbasfar; H. Md. Shuaeb Fazeel; Wendemagegnehu T. Beyene; Chikara Hoshino; Chris J. Madden; Ken Chang; Chuck Yuan (IEEE J. Solid State Circuits, 2012)

A 12.8-Gb/s/link Tri-Modal Single-Ended Memory Interface. - Amir Amirkhany; Jason Wei; Navin K. Mishra; Jie Shen 010; Wendemagegnehu T. Beyene; Catherine Chen 005; T. J. Chin; Deborah Dressler; Charlie Huang; Vijay P. Gadde; Mohammad Hekmat; Kambiz Kaviani; et al. (IEEE J. Solid State Circuits, 2012)

A Tri-Modal 20-Gbps/Link Differential/DDR3/GDDR5 Memory Interface. - Kambiz Kaviani; Ting Wu 003; Jason Wei; Amir Amirkhany; Jie Shen 010; T. J. Chin; Chintan Thakkar; Wendemagegnehu T. Beyene; Norman Chan; Catherine Chen 005; Bing Ren Chuang; Deborah Dressler; et al. (IEEE J. Solid State Circuits, 2012)

F2: VLSI power-management techniques: Principles and applications. - Leland Chang; Shannon Morton; Ken Chang; Jin-Man Han; Piero Malcovati; Vladimir Stojanovic (ISSCC, 2013)

Session 2 overview: Ultra-high-speed transceivers and equalizers. - Ken Chang; Hisakatsu Yamaguchi (ISSCC, 2013)

A 0.4-mW/Gb/s Near-Ground Receiver Front-End With Replica Transconductance Termination Calibration for a 16-Gb/s Source-Series Terminated Transceiver. - Kambiz Kaviani; Amir Amirkhany; Charlie Huang; Phuong Le; Wendemagegnehu T. Beyene; Chris J. Madden; Keisuke Saito; Koji Sano; Vinod Inipodu Murugan; Kun-Yung Ken Chang; Xingchao Chuck Yuan (IEEE J. Solid State Circuits, 2013)

A Low-Power 0.5-6.6 Gb/s Wireline Transceiver Embedded in Low-Cost 28 nm FPGAs. - Jafar Savoj; Kenny C.-H. Hsieh; Fu-Tai An; J. Gong; Jay Im; Xuewen Jiang; Anup P. Jose; Vassili Kireev; Siok-Wei Lim; Arianne Roldan; D. Z. Turker; Parag Upadhyaya; et al. (IEEE J. Solid State Circuits, 2013)

Wideband flexible-reach techniques for a 0.5-16.3Gb/s fully-adaptive transceiver in 20nm CMOS. - Jafar Savoj; Hesam Amir Aslanzadeh; Declan Carey; Marc Erett; Wayne Fang; Yohan Frans; Kenny C.-H. Hsieh; Jay Im; Anup P. Jose; Didem Turker; Parag Upadhyaya; Zhaoyin Daniel Wu; et al. (CICC, 2014)

2.8 A pulse-position-modulation phase-noise-reduction technique for a 2-to-16GHz injection-locked ring oscillator in 20nm CMOS. - Jun-Chau Chien; Parag Upadhyaya; Howard Jung; Stanley Chen; Wayne Fang; Ali M. Niknejad; Jafar Savoj; Ken Chang (ISSCC, 2014)

F6: Energy-efficient I/O design for next-generation systems. - Frank O'Mahony; Nicola Da Dalt; Ken Chang; Hisakatsu Yamaguchi; Chulwoo Kim; Elad Alon (ISSCC, 2014)

Session 3 overview: Ultra-high-speed wireline transceivers and energy-efficient links: Wireline subcommittee. - Ken Chang; Shunichi Kaeriyama (ISSCC, 2015)

F6: I/O design at 25Gb/s and beyond: Enabling the future communication infrastructure for big data. - Ken Chang; Frank O'Mahony; Elad Alon; Hyeon-Min Bae; Nicola Da Dalt; Eric Fluhr (ISSCC, 2015)

3.3 A 0.5-to-32.75Gb/s flexible-reach wireline transceiver in 20nm CMOS. - Parag Upadhyaya; Jafar Savoj; Fu-Tai An; Ade Bekele; Anup P. Jose; Bruce Xu; Zhaoyin Daniel Wu; Didem Turker; Hesam Amir Aslanzadeh; Hiva Hedayati; Jay Im; Siok-Wei Lim; et al. (ISSCC, 2015)

A 0.5-16.3 Gb/s Fully Adaptive Flexible-Reach Transceiver for FPGA in 20 nm CMOS. - Yohan Frans; Declan Carey; Marc Erett; Hesam Amir Aslanzadeh; Wayne Y. Fang; Didem Turker; Anup P. Jose; Adebabay Bekele; Jay Im; Parag Upadhyaya; Zhaoyin Daniel Wu; Kenny C.-H. Hsieh; et al. (IEEE J. Solid State Circuits, 2015)

A 32.75-Gb/s voltage mode transmitter with 3-tap FFE in 16nm CMOS. - Kok Lim Chan; Kee Hian Tan; Yohan Frans; Jay Im; Parag Upadhyaya; Siok-Wei Lim; Arianne Roldan; Nakul Narang; Chin Yang Koay; Hongyuan Zhao; Ken Chang (A-SSCC, 2016)

A 0.5-16.3Gbps multi-standard serial transceiver with 219mW/channel in 16nm FinFET. - Marc Erett; James Hudner; Declan Carey; Ronan Casey; Kevin Geary; Kay Hearne; Pedro Neto 001; Thomas Mallard; Vikas Sooden; Mark Smyth; Yohan Frans; Jay Im; et al. (ESSCIRC, 2016)

10.6 A 6.75-to-8.25GHz, 250fsrms-integrated-jitter 3.25mW rapid on/off PVT-insensitive fractional-N injection-locked clock multiplier in 65nm CMOS. - Ahmed Elkholy; Ahmed Elmallah; Mohamed Elzeftawi; Ken Chang; Pavan Kumar Hanumolu (ISSCC, 2016)

3.7 A 40-to-64Gb/s NRZ transmitter with supply-regulated front-end in 16nm FinFET. - Yohan Frans; Scott McLeod; Hiva Hedayati; Mohamed Elzeftawi; Jin Namkoong; Winson Lin; Jay Im; Parag Upadhyaya; Ken Chang (ISSCC, 2016)

Hierarchical Clustering of Tractography Streamlines Based on Anatomical Similarity. - Viviana Siless; Ken Chang; Bruce Fischl; Anastasia Yendiki (MICCAI (1), 2016)

A 56Gb/s PAM4 wireline transceiver using a 32-way time-interleaved SAR ADC in 16nm FinFET. - Yohan Frans; Mohamed Elzeftawi; Hiva Hedayati; Jay Im; Vassili Kireev; Toan Pham; Jaewook Shin; Parag Upadhyaya; Lei Zhou; Santiago Asuncion; Chris Borrelli; Geoff Zhang; et al. (VLSI Circuits, 2016)

A 7-to-18.3GHz compact transformer based VCO in 16nm FinFET. - Mayank Raj; Parag Upadhyaya; Yohan Frans; Ken Chang (VLSI Circuits, 2016)

A fully-adaptive wideband 0.5-32.75Gb/s FPGA transceiver in 16nm FinFET CMOS technology. - Parag Upadhyaya; Ade Bekele; Didem Turker Melek; Haibing Zhao; Jay Im; Junho Cho; Kee Hian Tan; Scott McLeod; Stanley Chen; Wenfeng Zhang; Yohan Frans; Ken Chang (VLSI Circuits, 2016)

A 40-to-64 Gb/s NRZ Transmitter With Supply-Regulated Front-End in 16 nm FinFET. - Yohan Frans; Scott McLeod; Hiva Hedayati; Mohamed Elzeftawi; Jin Namkoong; Winson Lin; Jay Im; Parag Upadhyaya; Ken Chang (IEEE J. Solid State Circuits, 2016)

6.3 A 40-to-56Gb/s PAM-4 receiver with 10-tap direct decision-feedback equalization in 16nm FinFET. - Jay Im; Dave Freitas; Arianne Roldan; Ronan Casey; Stanley Chen; Adam Chou; Tim Cronin; Kevin Geary; Scott McLeod; Lei Zhou; Ian Zhuang; Jaeduk Han; et al. (ISSCC, 2017)

Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation. - Andrew Beers; Ken Chang; James M. Brown 001; Emmett Sartor; C. P. Mammen; Elizabeth R. Gerstner; Bruce R. Rosen; Jayashree Kalpathy-Cramer (CoRR, 2017)

Institutionally Distributed Deep Learning Networks. - Ken Chang; Niranjan Balachandar; Carson K. Lam; Darvin Yi; James M. Brown 001; Andrew Beers; Bruce R. Rosen; Daniel L. Rubin; Jayashree Kalpathy-Cramer (CoRR, 2017)

A 32.75-Gb/s Voltage-Mode Transmitter With Three-Tap FFE in 16-nm CMOS. - Kok Lim Chan; Kee Hian Tan; Yohan Frans; Jay Im; Parag Upadhyaya; Siok-Wei Lim; Arianne Roldan; Nakul Narang; Chin Yang Koay; Hongyuan Zhao; Ping-Chuan Chiang; Ken Chang (IEEE J. Solid State Circuits, 2017)

A 0.5-16.3 Gbps Multi-Standard Serial Transceiver With 219 mW/Channel in 16-nm FinFET. - Marc Erett; James Hudner; Declan Carey; Ronan Casey; Kevin Geary; Kay Hearne; Pedro Neto 001; Thomas Mallard; Vikas Sooden; Mark Smyth; Yohan Frans; Jay Im; et al. (IEEE J. Solid State Circuits, 2017)

A 56-Gb/s PAM4 Wireline Transceiver Using a 32-Way Time-Interleaved SAR ADC in 16-nm FinFET. - Yohan Frans; Jaewook Shin; Lei Zhou; Parag Upadhyaya; Jay Im; Vassili Kireev; Mohamed Elzeftawi; Hiva Hedayati; Toan Pham; Santiago Asuncion; Chris Borrelli; Geoff Zhang; et al. (IEEE J. Solid State Circuits, 2017)

A 40-to-56 Gb/s PAM-4 Receiver With Ten-Tap Direct Decision-Feedback Equalization in 16-nm FinFET. - Jay Im; Dave Freitas; Arianne Roldan; Ronan Casey; Stanley Chen; Adam Chou; Tim Cronin; Kevin Geary; Scott McLeod; Lei Zhou; Ian Zhuang; Jaeduk Han; et al. (IEEE J. Solid State Circuits, 2017)

A 56 Gb/s 6 mW 300 um2 inverter-based CTLE for short-reach PAM2 applications in 16 nm CMOS. - Kevin Zheng; Yohan Frans; Ken Chang; Boris Murmann (CICC, 2018)

A 4-to-16GHz inverter-based injection-locked quadrature clock generator with phase interpolators for multi-standard I/Os in 7nm FinFET. - Stanley Chen; Lei Zhou; Ian Zhuang; Jay Im; Didem Turker Melek; Jinyung Namkoong; Mayank Raj; Jaewook Shin; Yohan Frans; Ken Chang (ISSCC, 2018)

A 126mW 56Gb/s NRZ wireline transceiver for synchronous short-reach applications in 16nm FinFET. - Marc Erett; Declan Carey; James Hudner; Ronan Casey; Kevin Geary; Pedro Neto 001; Mayank Raj; Scott McLeod; Hongtao Zhang 002; Arianne Roldan; Hongyuan Zhao; Ping-Chuan Chiang; et al. (ISSCC, 2018)

A 7.4-to-14GHz PLL with 54fsrms jitter in 16nm FinFET for integrated RF-data-converter SoCs. - Didem Turker; Ade Bekele; Parag Upadhyaya; Bob Verbruggen; Ying Cao 010; Shaojun Ma; Christophe Erdmann; Brendan Farley; Yohan Frans; Ken Chang (ISSCC, 2018)

A fully adaptive 19-to-56Gb/s PAM-4 wireline transceiver with a configurable ADC in 16nm FinFET. - Parag Upadhyaya; Chi Fung Poon; Siok-Wei Lim; Junho Cho; Arianne Roldan; Wenfeng Zhang; Jin Namkoong; Toan Pham; Bruce Xu; Winson Lin; Hongtao Zhang 002; Nakul Narang; et al. (ISSCC, 2018)

Sequential neural networks for biologically-informed glioma segmentation. - Andrew Beers; Ken Chang; James M. Brown 001; Elizabeth R. Gerstner; Bruce R. Rosen; Jayashree Kalpathy-Cramer (Image Processing, 2018)

A 112GB/S PAM4 Wireline Receiver Using a 64-Way Time-Interleaved SAR ADC in 16NM FinFET. - James Hudner; Declan Carey; Ronan Casey; Kay Hearne; Pedro Wilson de Abreu Farias Neto; Ilias Chlis; Marc Erett; Chi Fung Poon; Asma Laraba; Hongtao Zhang 002; Sai Lalith Chaitanya Ambatipudi; David Mahashin; et al. (VLSI Circuits, 2018)

A 0.5-28GB/S Wireline Tranceiver with 15-Tap DFE and Fast-Locking Digital CDR in 7NM FinFET. - Jay Im; Stanley Chen; Dave Freitas; Adam Chou; Lei Zhou; Ian Zhuang; Tim Cronin; David Mahashin; Winson Lin; Kok Lim Chan; Hongyuan Zhao; Kee Hian Tan; et al. (VLSI Circuits, 2018)

A 112-GB/S PAM4 Transmitter in 16NM FinFET. - Kee Hian Tan; Ping-Chuan Chiang; Yipeng Wang 003; Haibing Zhao; Arianne Roldan; Hongyuan Zhao; Nakul Narang; Siok-Wei Lim; Declan Carey; Sai Lalith Chaitanya Ambatipudi; Parag Upadhyaya; Yohan Frans; et al. (VLSI Circuits, 2018)

An Inverter-Based Analog Front End for a 56 GB/S PAM4 Wireline Transceiver in 16NMCMOS. - Kevin Zheng; Yohan Frans; Sai Lalith Ambatipudi; Santiago Asuncion; Hari Teja Reddy; Ken Chang; Boris Murmann (VLSI Circuits, 2018)

High-resolution medical image synthesis using progressively grown generative adversarial networks. - Andrew Beers; James M. Brown 001; Ken Chang; J. Peter Campbell; Susan Ostmo; Michael F. Chiang; Jayashree Kalpathy-Cramer (CoRR, 2018)

DeepNeuro: an open-source deep learning toolbox for neuroimaging. - Andrew Beers; James M. Brown 001; Ken Chang; Katharina Hoebel; Elizabeth R. Gerstner; Bruce R. Rosen; Jayashree Kalpathy-Cramer (CoRR, 2018)

Deep feature transfer between localization and segmentation tasks. - Szu-Yeu Hu; Andrew Beers; Ken Chang; Kathi Höbel; J. Peter Campbell; Deniz Erdogmus; Stratis Ioannidis; Jennifer G. Dy; Michael F. Chiang; Jayashree Kalpathy-Cramer; James M. Brown 001 (CoRR, 2018)

Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images. - Bruno Lecouat; Ken Chang; Chuan-Sheng Foo; Balagopal Unnikrishnan; James M. Brown 001; Houssam Zenati; Andrew Beers; Vijay Chandrasekhar 001; Jayashree Kalpathy-Cramer; Pavitra Krishnaswamy (CoRR, 2018)

Distributed deep learning networks among institutions for medical imaging. - Ken Chang; Niranjan Balachandar; Carson K. Lam; Darvin Yi; James M. Brown 001; Andrew Beers; Bruce R. Rosen; Daniel L. Rubin; Jayashree Kalpathy-Cramer (J. Am. Medical Informatics Assoc., 2018)

Introduction to the Special Issue on the 2017 Symposium on VLSI Circuits. - Makoto Ikeda; Ken Chang (IEEE J. Solid State Circuits, 2018)

AnatomiCuts: Hierarchical clustering of tractography streamlines based on anatomical similarity. - Viviana Siless; Ken Chang; Bruce Fischl; Anastasia Yendiki (NeuroImage, 2018)

A 2.25pJ/bit Multi-lane Transceiver for Short Reach Intra-package and Inter-package Communication in 16nm FinFET. - Marc Erett; Declan Carey; Ronan Casey; James Hudner; Kevin Geary; Ted Lee; Mayank Raj; Hongtao Zhang 002; Arianne Roldan; Hongyuan Zhao; Ping-Chuan Chiang; Haibing Zhao; et al. (CICC, 2019)

A 50Gb/s Hybrid Integrated Si-Photonic Optical Link in 16nm FinFET. - Mayank Raj; Yohan Frans; Sai Lalith Chaitanya Ambatipudi; David Mahashin; Peter De Heyn; Sadhishkumar Balakrishnan; Joris Van Campenhout; Jimmy Grayson; Marc Epitaux; Ken Chang (VLSI Circuits, 2019)

ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries. - Vivek Sharma 001; Praneeth Vepakomma; Tristan Swedish; Ken Chang; Jayashree Kalpathy-Cramer; Ramesh Raskar (CoRR, 2019)

ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations. - Vivek Sharma 001; Praneeth Vepakomma; Tristan Swedish; Ken Chang; Jayashree Kalpathy-Cramer; Ramesh Raskar (CoRR, 2019)

Give me (un)certainty - An exploration of parameters that affect segmentation uncertainty. - Katharina Hoebel; Ken Chang; Jay B. Patel; Praveer Singh; Jayashree Kalpathy-Cramer (CoRR, 2019)

Split Learning for collaborative deep learning in healthcare. - Maarten G. Poirot; Praneeth Vepakomma; Ken Chang; Jayashree Kalpathy-Cramer; Rajiv Gupta; Ramesh Raskar (CoRR, 2019)

Introduction to the Special Issue on the 2018 Symposium on VLSI Circuits. - Ken Chang; Ken Takeuchi (IEEE J. Solid State Circuits, 2019)

A Fully Adaptive 19-58-Gb/s PAM-4 and 9.5-29-Gb/s NRZ Wireline Transceiver With Configurable ADC in 16-nm FinFET. - Parag Upadhyaya; Chi Fung Poon; Siok-Wei Lim; Junho Cho; Arianne Roldan; Wenfeng Zhang; Jin Namkoong; Toan Pham; Bruce Xu; Winson Lin; Hongtao Zhang 002; Nakul Narang; et al. (IEEE J. Solid State Circuits, 2019)

Segmentation, Survival Prediction, and Uncertainty Estimation of Gliomas from Multimodal 3D MRI Using Selective Kernel Networks. - Jay B. Patel; Ken Chang; Katharina Hoebel; Mishka Gidwani; Nishanth Thumbavanam Arun; Sharut Gupta; Mehak Aggarwal; Praveer Singh; Bruce R. Rosen; Elizabeth R. Gerstner; Jayashree Kalpathy-Cramer (BrainLes@MICCAI (2), 2020)

50Gb/s Hybrid Integrated Si-Photonic Optical Link in 16nm FinFET. - Mayank Raj; Yohan Frans; Ping-Chuan Chiang; Sai Lalith Chaitanya Ambatipudi; David Mahashin; Peter De Heyn; Sadhishkumar Balakrishnan; Joris Van Campenhout; Jimmy Grayson; Marc Epitaux; Ken Chang (ECOC, 2020)

6.1 A 112Gb/s PAM-4 Long-Reach Wireline Transceiver Using a 36-Way Time-Interleaved SAR-ADC and Inverter-Based RX Analog Front-End in 7nm FinFET. - Jay Im; Kevin Zheng; Adam Chou; Lei Zhou; Jae Wook Kim; Stanley Chen; Yipeng Wang 003; Hao-Wei Hung; Kee Hian Tan; Winson Lin; Arianne Roldan; Declan Carey; et al. (ISSCC, 2020)

Radiomics and Radiogenomics with Deep Learning in Neuro-oncology. - Jay B. Patel; Mishka Gidwani; Ken Chang; Jayashree Kalpathy-Cramer (MLCN/RNO-AI@MICCAI, 2020)

Federated Learning for Breast Density Classification: A Real-World Implementation. - Holger R. Roth; Ken Chang; Praveer Singh; Nir Neumark; Wenqi Li 001; Vikash Gupta; Sharut Gupta; Liangqiong Qu; Alvin Ihsani; Bernardo C. Bizzo; Yuhong Wen; Varun Buch; et al. (DART/DCL@MICCAI, 2020)

An exploration of uncertainty information for segmentation quality assessment. - Katharina Hoebel; Vincent Andrearczyk; Andrew Beers; Jay B. Patel; Ken Chang; Adrien Depeursinge; Henning Müller; Jayashree Kalpathy-Cramer (Image Processing, 2020)

Assessing the validity of saliency maps for abnormality localization in medical imaging. - Nishanth Thumbavanam Arun; Nathan Gaw; Praveer Singh; Ken Chang; Katharina Viktoria Hoebel; Jay B. Patel; Mishka Gidwani; Jayashree Kalpathy-Cramer (CoRR, 2020)

Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging. - Nishanth Thumbavanam Arun; Nathan Gaw; Praveer Singh; Ken Chang; Mehak Aggarwal; Bryan Chen; Katharina Hoebel; Sharut Gupta; Jay B. Patel; Mishka Gidwani; Julius Adebayo; Matthew D. Li; et al. (CoRR, 2020)

Towards Trainable Saliency Maps in Medical Imaging. - Mehak Aggarwal; Nishanth Thumbavanam Arun; Sharut Gupta; Ashwin Vaswani; Bryan Chen; Matthew D. Li; Ken Chang; Jay B. Patel; Katherine Höbel; Mishka Gidwani; Jayashree Kalpathy-Cramer; Praveer Singh (CoRR, 2020)

The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions. - Sharut Gupta; Praveer Singh; Ken Chang; Mehak Aggarwal; Nishanth Thumbavanam Arun; Liangqiong Qu; Katharina Hoebel; Jay B. Patel; Mishka Gidwani; Ashwin Vaswani; Daniel L. Rubin; Jayashree Kalpathy-Cramer (CoRR, 2020)

Accounting for data variability in multi-institutional distributed deep learning for medical imaging. - Niranjan Balachandar; Ken Chang; Jayashree Kalpathy-Cramer; Daniel L. Rubin (J. Am. Medical Informatics Assoc., 2020)

Corrigendum to: Accounting for data variability in multi-institutional distributed deep learning for medical imaging. - Niranjan Balachandar; Ken Chang; Jayashree Kalpathy-Cramer; Daniel L. Rubin (J. Am. Medical Informatics Assoc., 2020)

Design of a 50-Gb/s Hybrid Integrated Si-Photonic Optical Link in 16-nm FinFET. - Mayank Raj; Yohan Frans; Ping-Chuan Chiang; Sai Lalith Chaitanya Ambatipudi; David Mahashin; Peter De Heyn; Sadhishkumar Balakrishnan; Joris Van Campenhout; Jimmy Grayson; Marc Epitaux; Ken Chang (IEEE J. Solid State Circuits, 2020)

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. - Matthew D. Li; Ken Chang; Ben Bearce; Connie Y. Chang; Ambrose J. Huang; J. Peter Campbell; James M. Brown 001; Praveer Singh; Katharina Viktoria Hoebel; Deniz Erdogmus; Stratis Ioannidis; William E. Palmer; et al. (npj Digit. Medicine, 2020)

Opportunities and Challenges for Deep Learning in Brain Lesions. - Jay B. Patel; Ken Chang; Syed Rakin Ahmed; Ikbeom Jang; Jayashree Kalpathy-Cramer (BrainLes@MICCAI (1), 2021)

An Error-free 1 Tbps WDM Optical I/O Chiplet and Multi-wavelength Multi-port Laser. - Mark T. Wade; Erik Anderson; Shahab Ardalan; Woorham Bae; Behrooz Beheshtian; Sidney Buchbinder; Ken Chang; Paulo Chao; Haritha Eachempatti; John Frey; Eric Jan; Austin Katzin; et al. (OFC, 2021)

Addressing catastrophic forgetting for medical domain expansion. - Sharut Gupta; Praveer Singh; Ken Chang; Liangqiong Qu; Mehak Aggarwal; Nishanth Thumbavanam Arun; Ashwin Vaswani; Shruti Raghavan; Vibha Agarwal; Mishka Gidwani; Katharina Hoebel; Jay B. Patel; et al. (CoRR, 2021)

Deploying clinical machine learning? Consider the following... - Charles Lu 001; Ken Chang; Praveer Singh; Stuart R. Pomerantz; Sean Doyle; Sujay Kakarmath; Christopher P. Bridge; Jayashree Kalpathy-Cramer (CoRR, 2021)

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - Raghav Mehta; Angelos Filos; Ujjwal Baid; Chiharu Sako; Richard McKinley; Michael Rebsamen; Katrin Dätwyler; Raphael Meier; Piotr Radojewski; Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh; et al. (CoRR, 2021)

A 112-Gb/s PAM-4 Long-Reach Wireline Transceiver Using a 36-Way Time-Interleaved SAR ADC and Inverter-Based RX Analog Front-End in 7-nm FinFET. - Jay Im; Kevin Zheng; Chuen-Huei Adam Chou; Lei Zhou; Jae Wook Kim; Stanley Chen; Yipeng Wang 003; Hao-Wei Hung; Kee Hian Tan; Winson Lin; Arianne Roldan; Declan Carey; et al. (IEEE J. Solid State Circuits, 2021)

DeepNeuro: an open-source deep learning toolbox for neuroimaging. - Andrew Beers; James M. Brown 001; Ken Chang; Katharina Hoebel; Jay B. Patel; K. Ina Ly; Sara M. Tolaney; Priscilla K. Brastianos; Bruce R. Rosen; Elizabeth R. Gerstner; Jayashree Kalpathy-Cramer (Neuroinformatics, 2021)

Fair Conformal Predictors for Applications in Medical Imaging. - Charles Lu 001; Andréanne Lemay; Ken Chang; Katharina Höbel; Jayashree Kalpathy-Cramer (AAAI, 2022)

Towards More Efficient Data Valuation in Healthcare Federated Learning Using Ensembling. - Sourav Kumar; Anantharaman Lakshminarayanan; Ken Chang; Feri Guretno; Ivan Ho Mien; Jayashree Kalpathy-Cramer; Pavitra Krishnaswamy; Praveer Singh (DeCaF/FAIR@MICCAI, 2022)

Do I know this? segmentation uncertainty under domain shift. - Katharina Hoebel; Christopher P. Bridge; Andréanne Lemay; Ken Chang; Jay B. Patel; Bruce Rosen 001; Jayashree Kalpathy-Cramer (Image Processing, 2022)

Is this good enough? On expert perception of brain tumor segmentation quality. - Katharina Hoebel; Christopher P. Bridge; Sara Ahmed; Oluwatosin Akintola; Caroline Chung; Raymond Y. Huang; Jason Johnson; Albert E. Kim; K. Ina Ly; Ken Chang; Jay B. Patel; Marco Pinho; et al. (Image Perception, Observer Performance, and Technology Assessment, 2022)

Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating. - Ikbeom Jang; Garrison Danley; Ken Chang; Jayashree Kalpathy-Cramer (CoRR, 2022)

Federated Learning Enables Big Data for Rare Cancer Boundary Detection. - Sarthak Pati; Ujjwal Baid; Brandon Edwards; Micah J. Sheller; Hans Shih-Han Wang; G. Anthony Reina; Patrick Foley; Alexey Gruzdev; Deepthi Karkada; Christos Davatzikos; Chiharu Sako; Satyam Ghodasara; et al. (CoRR, 2022)

Three Applications of Conformal Prediction for Rating Breast Density in Mammography. - Charles Lu 001; Ken Chang; Praveer Singh; Jayashree Kalpathy-Cramer (CoRR, 2022)

How Machine Learning is Powering Neuroimaging to Improve Brain Health. - Nalini M. Singh; Jordan B. Harrod; Sandya Subramanian; Mitchell B. Robinson; Ken Chang; Suheyla Cetin Karayumak; Adrian Vasile Dalca; Simon B. Eickhoff; Michael Fox; Loraine Franke; Polina Golland; Daniel Haehn; et al. (Neuroinformatics, 2022)

An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. - Chris K. Kim; Ji Whae Choi; Zhicheng Jiao; Dongcui Wang; Jing Wu; Thomas Y. Yi; Kasey C. Halsey; Feyisope Eweje; Thi My Linh Tran; Chang Liu 082; Robin Wang; John Sollee; et al. (npj Digit. Medicine, 2022)

A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging. - Jay B. Patel; Syed Rakin Ahmed; Ken Chang; Praveer Singh; Mishka Gidwani; Katharina Hoebel; Albert E. Kim; Christopher P. Bridge; Chung-Jen Teng; Xiaomei Li; Gongwen Xu; Megan McDonald; et al. (MLHC, 2023)

FDU-Net: Deep Learning-Based Three-Dimensional Diffuse Optical Image Reconstruction. - Bin Deng; Hanxue Gu; Hongmin Zhu; Ken Chang; Katharina Viktoria Hoebel; Jay B. Patel; Jayashree Kalpathy-Cramer; Stefan A. Carp (IEEE Trans. Medical Imaging, 2023)

IMIL: Interactive Medical Image Learning Framework. - Adrit Rao; Andrea Fisher; Ken Chang; John Christopher Panagides; Katherine McNamara; Joon-Young Lee; Oliver O. Aalami (CVPR Workshops, 2024)

Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion. - Sharut Gupta; Ken Chang; Liangqiong Qu; Aakanksha Rana; Syed Rakin Ahmed; Mehak Aggarwal; Nishanth Thumbavanam Arun; Ashwin Vaswani; Shruti Raghavan; Vibha Agarwal; Mishka Gidwani; Katharina Hoebel; et al. (AIPAD/PILM@MICCAI, 2024)

Cycle-GANs Generated Difference Maps to Interpret Race Prediction from Medical Images. - Lakshika Rathi; Giacomo Nebbia; Ken Chang; Sourav Kumar; Aarushi Gupta; Syed Rakin Ahmed; Jay B. Patel; Christopher Clark; Yoga Advaith Veturi; Aaron S. Coyner; Aakanksha Rana; Christopher P. Bridge; et al. (FAIMI/EPIMI@MICCAI, 2024)

A 0.9pj/b 9.8-113Gb/s XSR SerDes with 6-tap TX FFE and AC coupling RX in 3nm FinFet Technology. - A. Chowdhury; J. Ma; Y. Li; J. Guo; X. Zhang; P. B. Ramakrishna; J. Gu; Y. Wang; L. Liang; U. K. Shukla; K. Mohammad; H. Yan; et al. (VLSI Technology and Circuits, 2024)

A 32Gb/s 0.36pJ/bit 3nm Chiplet IO Using 2.5D CoWoS Package with Real-Time and Per-Lane CDR and Bathtub Monitoring. - J. Gu; J. Ma; J. Guo; F. Guo; D. Liang; Y. Li; C. Shen; P. Gao; X. Zhang; J. Ding; M. Sorna; H. Wang; et al. (VLSI Technology and Circuits, 2024)

Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge. - Kendall Schmidt; Ben Bearce; Ken Chang; Laura Coombs; Keyvan Farahani; Marawan Elbatel; Kaouther Mouheb; Robert Marti; Ruipeng Zhang; Yao Zhang 010; Yanfeng Wang 001; Yaojun Hu; et al. (CoRR, 2024)

The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI. - Maria Correia de Verdier; Rachit Saluja; Louis Gagnon; Dominic LaBella; Ujjwal Baid; Nourel Hoda Tahon; Martha Foltyn-Dumitru; Jikai Zhang; Maram Alafif; Saif Baig; Ken Chang; Gennaro D'Anna; et al. (CoRR, 2024)

Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. - Kendall Schmidt; Benjamin Bearce; Ken Chang; Laura Coombs; Keyvan Farahani; Marawan Elbatel; Kaouther Mouheb; Robert Marti; Ruipeng Zhang; Ya Zhang 002; Yanfeng Wang 001; Yaojun Hu; et al. (Medical Image Anal., 2024)

Privacy preservation for federated learning in health care. - Sarthak Pati; Sourav Kumar; Amokh Varma; Brandon Edwards; Charles Lu 001; Liangqiong Qu; Justin J. Wang; Anantharaman Lakshminarayanan; Shih-han Wang; Micah J. Sheller; Ken Chang; Praveer Singh; et al. (Patterns, 2024)

A 0.29pJ/b 5.27Tb/s/mm UCIe Advanced Package Link in 3nm FinFET with 2.5D CoWoS Packaging. - Didem Turker Melek; R. Navinkumar; James Vandersand; Pyare Sarkar; BS Prakash; Adrian Leuciuc; Kevin Geary; Shaojun Ma; Chirag Mukesh Mehta; Shashi Jain; Basant Bothra; Pawan Sabharwal; et al. (ISSCC, 2025)

A 32 Gb/s 0.36 pJ/bit 3 nm Chiplet IO Using 2.5-D CoWoS Package With Real-Time and Per-Lane CDR and Bathtub Monitoring. - Junhui Gu; John Ma; Azhar Ahmed Chowdhury; Jianmin Guo; Xin Zhang; Jackson Ding; Hui Wang; Ken Chang (IEEE J. Solid State Circuits, 2025)

SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning. - Melanie Rieff; Maya Varma; Ossian Rabow; Subathra Adithan; Julie Kim; Ken Chang; Hannah Lee; Nidhi Rohatgi; Christian Bluethgen; Mohamed S. Muneer; Jean-Benoit Delbrouck; Michael Moor (CoRR, 2025)