Michael B. Wallace

36 papers Misc 1Journal 19Unranked 16
YearRankTypeTitle / Venue / Authors
2025 — conf
Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI.
ISBI
Hongyi Pan, Gorkem Durak, Zheyuan Zhang, Yavuz Taktak, Elif Keles, Halil Ertugrul Aktas, Alpay Medetalibeyoglu, Yury Velichko, Concetto Spampinato, Ivo Schoots, Marco J. Bruno, Rajesh N. Keswani, Pallavi Tiwari, Candice W. Bolan, Tamas Gonda, Michael G. Gorrins, Michael B. Wallace, Ziyue Xu, Ulas Bagci
2025 J jnl
Cyst-X: AI-Powered Pancreatic Cancer Risk Prediction from Multicenter MRI in Centralized and Federated Learning.
CoRR
Hongyi Pan, Gorkem Durak, Elif Keles, Deniz Seyithanoglu, Zheyuan Zhang, Alpay Medetalibeyoglu, Halil Ertugrul Aktas, Andrea Mia Bejar, Ziliang Hong, Yavuz Taktak, Gulbiz Dagoglu Kartal, Sukru Mehmet Erturk, Timurhan Cebeci, Maria Jaramillo Gonzalez, Yury Velichko, Lili Zhao, Emil Agarunov, Federica Proietto Salanitri, Concetto Spampinato, Pallavi Tiwari, Ziyue Xu, Sachin Jambawalikar, Ivo G. Schoots, Marco J. Bruno, Chenchan Huang, Candice W. Bolan, Tamas Gonda, Frank H. Miller, Rajesh N. Keswani, Michael B. Wallace, Ulas Bagci
2025 — conf
IPMN Risk Assessment Under Federated Learning Paradigm.
ISBI
Hongyi Pan, Ziliang Hong, Gorkem Durak, Elif Keles, Halil Ertugrul Aktas, Yavuz Taktak, Alpay Medetalibeyoglu, Zheyuan Zhang, Yury Velichko, Concetto Spampinato, Ivo Schoots, Marco J. Bruno, Pallavi Tiwari, Candice W. Bolan, Tamas Gonda, Frank H. Miller, Rajesh N. Keswani, Michael B. Wallace, Ziyue Xu, Ulas Bagci
2025 J jnl
Large-scale multi-center CT and MRI segmentation of pancreas with deep learning.
Medical Image Anal.
Zheyuan Zhang, Elif Keles, Gorkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade, Debesh Jha, Asli C. Ormeci, Alpay Medetalibeyoglu, Lanhong Yao, Bin Wang, Ilkin Sevgi Isler, Linkai Peng, Hongyi Pan, Camila Lopes Vendrami, Amir Bourhani, Yury Velichko, Boqing Gong, Concetto Spampinato, Ayis Pyrros, Pallavi Tiwari, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Emil Agarunov, Nassier Harfouch, Chenchan Huang, Marco J. Bruno, Ivo Schoots, Rajesh N. Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Baris Turkbey, Michael B. Wallace, Ulas Bagci
2025 — conf
Pancreas Part Segmentation Under Federated Learning Paradigm.
PRIME@MICCAI
Ziliang Hong, Halil Ertugrul Aktas, Andrea Mia Bejar, Katherine Wu, Hongyi Pan, Gorkem Durak, Zheyuan Zhang, Sait Kayali, Temel Tirkes, Federica Proietto Salanitri, Concetto Spampinato, Michael Goggins, Tamas Gonda, Candice Bolan, Rajesh Keswani, Frank H. Miller, Michael B. Wallace, Ulas Bagci
2024 J jnl
Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI.
CoRR
Hongyi Pan, Gorkem Durak, Zheyuan Zhang, Yavuz Taktak, Elif Keles, Ertugrul Aktas, Alpay Medetalibeyoglu, Yury Velichko, Concetto Spampinato, Ivo Schoots, Marco J. Bruno, Rajesh N. Keswani, Pallavi Tiwari, Candice W. Bolan, Tamas Gonda, Michael G. Goggins, Michael B. Wallace, Ziyue Xu, Ulas Bagci
2024 J jnl
IPMN Risk Assessment under Federated Learning Paradigm.
CoRR
Hongyi Pan, Ziliang Hong, Gorkem Durak, Elif Keles, Halil Ertugrul Aktas, Yavuz Taktak, Alpay Medetalibeyoglu, Zheyuan Zhang, Yury Velichko, Concetto Spampinato, Ivo Schoots, Marco J. Bruno, Pallavi Tiwari, Candice W. Bolan, Tamas Gonda, Frank H. Miller, Rajesh N. Keswani, Michael B. Wallace, Ziyue Xu, Ulas Bagci
2024 J jnl
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning.
CoRR
Zheyuan Zhang, Elif Keles, Gorkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade, Debesh Jha, Asli C. Ormeci, Alpay Medetalibeyoglu, Lanhong Yao, Bin Wang, Ilkin Sevgi Isler, Linkai Peng, Hongyi Pan, Camila Lopes Vendrami, Amir Bourhani, Yury Velichko, Boqing Gong, Concetto Spampinato, Ayis Pyrros, Pallavi Tiwari, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Emil Agarunov, Nassier Harfouch, Chenchan Huang, Marco J. Bruno, Ivo Schoots, Rajesh N. Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Baris Turkbey, Michael B. Wallace, Ulas Bagci
2024 J jnl
Non-native Quantum Generative Optimization with Adversarial Autoencoders.
CoRR
Blake Wilson, Jonathan Wurtz, Vahagn Mkhitaryan, Michael B. Wallace, Sheng-Tao Wang, Sabre Kais, Vladimir M. Shalaev, Alexandra Boltasseva
2024 — conf
Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation.
AIPAD/PILM@MICCAI
Linkai Peng, Zheyuan Zhang, Gorkem Durak, Frank H. Miller, Alpay Medetalibeyoglu, Michael B. Wallace, Ulas Bagci
2024 J jnl
Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation.
CoRR
Linkai Peng, Zheyuan Zhang, Gorkem Durak, Frank H. Miller, Alpay Medetalibeyoglu, Michael B. Wallace, Ulas Bagci
2024 — conf
Practical and Ethical Considerations for Generative AI in Medical Imaging.
FAIMI/EPIMI@MICCAI
Debesh Jha, Ashish Rauniyar, Desta Haileselassie Hagos, Vanshali Sharma, Nikhil Kumar Tomar, Zheyuan Zhang, Ilkin Isler, Gorkem Durak, Michael B. Wallace, Cemal Yazici, Tyler M. Berzin, Koushik Biswas, Ulas Bagci
2024 J jnl
Transformer-Enhanced Iterative Feedback Mechanism for Polyp Segmentation.
CoRR
Nikhil Kumar Tomar, Debesh Jha, Koushik Biswas, Tyler M. Berzin, Rajesh Keswani, Michael B. Wallace, Ulas Bagci
2023 J jnl
A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications.
CoRR
Tara M. Pattilachan, Ugur Demir, Elif Keles, Debesh Jha, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Michael B. Wallace, Ulas Bagci
2023 — conf
Radiomics Boosts Deep Learning Model for IPMN Classification.
MLMI@MICCAI (2)
Lanhong Yao, Zheyuan Zhang, Ugur Demir, Elif Keles, Camila Vendrami, Emil Agarunov, Candice W. Bolan, Ivo Schoots, Marc J. Bruno, Rajesh Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Michael B. Wallace, Concetto Spampinato, Ulas Bagci
2023 J jnl
Radiomics Boosts Deep Learning Model for IPMN Classification.
CoRR
Lanhong Yao, Zheyuan Zhang, Ugur Demir, Elif Keles, Camila Vendrami, Emil Agarunov, Candice W. Bolan, Ivo Schoots, Marc J. Bruno, Rajesh Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Michael B. Wallace, Concetto Spampinato, Ulas Bagci
2022 — conf
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images.
EMBC
Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ismail Irmakci, Michael B. Wallace, Candice W. Bolan, Megan Engels, Sanne Hoogenboom, Marco Aldinucci, Ulas Bagci, Daniela Giordano, Concetto Spampinato
2022 J jnl
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images.
CoRR
Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ismail Irmakci, Michael B. Wallace, Candice W. Bolan, Megan Engels, Sanne Hoogenboom, Marco Aldinucci, Ulas Bagci, Daniela Giordano, Concetto Spampinato
2020 — conf
Diagnosing Colorectal Polyps in the Wild with Capsule Networks.
ISBI
Rodney LaLonde, Pujan Kandel, Concetto Spampinato, Michael B. Wallace, Ulas Bagci
2020 J jnl
Diagnosing Colorectal Polyps in the Wild with Capsule Networks.
CoRR
Rodney LaLonde, Pujan Kandel, Concetto Spampinato, Michael B. Wallace, Ulas Bagci
2019 — conf
INN: Inflated Neural Networks for IPMN Diagnosis.
MICCAI (5)
Rodney LaLonde, Irene Tanner, Katerina Nikiforaki, Georgios Z. Papadakis, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci
2019 J jnl
INN: Inflated Neural Networks for IPMN Diagnosis.
CoRR
Rodney LaLonde, Irene Tanner, Katerina Nikiforaki, Georgios Z. Papadakis, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci
2019 J jnl
Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches.
IEEE Trans. Medical Imaging
Sarfaraz Hussein, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci
2019 — conf
PAN: Projective Adversarial Network for Medical Image Segmentation.
MICCAI (6)
Naji Khosravan, Aliasghar Mortazi, Michael B. Wallace, Ulas Bagci
2019 J jnl
PAN: Projective Adversarial Network for Medical Image Segmentation.
CoRR
Naji Khosravan, Aliasghar Mortazi, Michael B. Wallace, Ulas Bagci
2018 — conf
Deep multi-modal classification of intraductal papillary mucinous neoplasms (IPMN) with canonical correlation analysis.
ISBI
Sarfaraz Hussein, Pujan Kandel, Juan E. Corral, Candice W. Bolan, Michael B. Wallace, Ulas Bagci
2018 J jnl
Supervised and Unsupervised Tumor Characterization in the Deep Learning Era.
CoRR
Sarfaraz Hussein, Maria M. J. Chuquicusma, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci
2017 J jnl
Deep Multi-Modal Classification of Intraductal Papillary Mucinous Neoplasms (IPMN) with Canonical Correlation Analysis.
CoRR
Sarfaraz Hussein, Pujan Kandel, Juan E. Corral, Candice W. Bolan, Michael B. Wallace, Ulas Bagci
2012 J jnl
Learning Semantic and Visual Similarity for Endomicroscopy Video Retrieval.
IEEE Trans. Medical Imaging
Barbara André, Tom Vercauteren, Anna M. Buchner, Michael B. Wallace, Nicholas Ayache
2011 J jnl
A smart atlas for endomicroscopy using automated video retrieval.
Medical Image Anal.
Barbara André, Tom Vercauteren, Anna M. Buchner, Michael B. Wallace, Nicholas Ayache
2011 — conf
Retrieval Evaluation and Distance Learning from Perceived Similarity between Endomicroscopy Videos.
MICCAI (3)
Barbara André, Tom Vercauteren, Anna M. Buchner, Michael B. Wallace, Nicholas Ayache
2010 — conf
An Image Retrieval Approach to Setup Difficulty Levels in Training Systems for Endomicroscopy Diagnosis.
MICCAI (2)
Barbara André, Tom Vercauteren, Anna M. Buchner, Muhammad Waseem Shahid, Michael B. Wallace, Nicholas Ayache
2010 — conf
Endomicroscopic video retrieval using mosaicing and visual words.
ISBI
Barbara André, Tom Vercauteren, Anna M. Buchner, Michael B. Wallace, Nicholas Ayache
2009 — conf
Endomicroscopic Image Retrieval and Classification Using Invariant Visual Features.
ISBI
Barbara André, Tom Vercauteren, Aymeric Perchant, Anna M. Buchner, Michael B. Wallace, Nicholas Ayache
2009 — conf
Introducing Space and Time in Local Feature-Based Endomicroscopic Image Retrieval.
MCBR-CDS
Barbara André, Tom Vercauteren, Aymeric Perchant, Anna M. Buchner, Michael B. Wallace, Nicholas Ayache
2000 Misc conf
Remote clinical assessment of gastrointestinal endoscopy (tele-endoscopy): an initial experience.
AMIA
Christopher Y. Kim, Babak Etemad, Tammy F. Glenn, Harold A. Mackey, Gerald E. Viator, Michael B. Wallace, Mahesh S. Mokhashi, Peter B. Cotton, Robert Holbrook Hawes