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Michael B. Wallace
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2020 – today
- 2025
- [j4]Zheyuan Zhang
, Elif Keles
Large-scale multi-center CT and MRI segmentation of pancreas with deep learning. Medical Image Anal. 99: 103382 (2025) - 2024
- [c14]Linkai Peng, Zheyuan Zhang, Gorkem Durak, Frank H. Miller, Alpay Medetalibeyoglu, Michael B. Wallace, Ulas Bagci:
Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation. AIPAD/PILM@MICCAI 2024: 35-44 - [c13]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:
Practical and Ethical Considerations for Generative AI in Medical Imaging. FAIMI/EPIMI@MICCAI 2024: 176-187 - [i14]Zheyuan Zhang, Elif Keles, Gorkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning. CoRR abs/2405.12367 (2024) - [i13]Blake Wilson, Jonathan Wurtz, Vahagn Mkhitaryan, Michael B. Wallace, Sheng-Tao Wang, Sabre Kais, Vladimir M. Shalaev, Alexandra Boltasseva:
Non-native Quantum Generative Optimization with Adversarial Autoencoders. CoRR abs/2407.13830 (2024) - [i12]Linkai Peng, Zheyuan Zhang, Gorkem Durak, Frank H. Miller, Alpay Medetalibeyoglu, Michael B. Wallace, Ulas Bagci:
Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation. CoRR abs/2407.19284 (2024) - [i11]Nikhil Kumar Tomar, Debesh Jha, Koushik Biswas, Tyler M. Berzin, Rajesh Keswani, Michael B. Wallace, Ulas Bagci:
Transformer-Enhanced Iterative Feedback Mechanism for Polyp Segmentation. CoRR abs/2409.05875 (2024) - [i10]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:
Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI. CoRR abs/2410.22530 (2024) - [i9]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:
IPMN Risk Assessment under Federated Learning Paradigm. CoRR abs/2411.05697 (2024) - 2023
- [c12]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:
Radiomics Boosts Deep Learning Model for IPMN Classification. MLMI@MICCAI (2) 2023: 134-143 - [i8]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:
A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications. CoRR abs/2301.02181 (2023) - [i7]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:
Radiomics Boosts Deep Learning Model for IPMN Classification. CoRR abs/2309.05857 (2023) - 2022
- [c11]Federica Proietto Salanitri
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images. EMBC 2022: 475-479 - [i6]Federica Proietto Salanitri
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images. CoRR abs/2206.10531 (2022) - 2020
- [c10]Rodney LaLonde, Pujan Kandel, Concetto Spampinato, Michael B. Wallace
Diagnosing Colorectal Polyps in the Wild with Capsule Networks. ISBI 2020: 1086-1090 - [i5]Rodney LaLonde, Pujan Kandel, Concetto Spampinato, Michael B. Wallace, Ulas Bagci:
Diagnosing Colorectal Polyps in the Wild with Capsule Networks. CoRR abs/2001.03305 (2020)
2010 – 2019
- 2019
- [j3]Sarfaraz Hussein
Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches. IEEE Trans. Medical Imaging 38(8): 1777-1787 (2019) - [c9]Naji Khosravan, Aliasghar Mortazi, Michael B. Wallace
PAN: Projective Adversarial Network for Medical Image Segmentation. MICCAI (6) 2019: 68-76 - [c8]Rodney LaLonde, Irene Tanner, Katerina Nikiforaki, Georgios Z. Papadakis, Pujan Kandel, Candice W. Bolan, Michael B. Wallace
INN: Inflated Neural Networks for IPMN Diagnosis. MICCAI (5) 2019: 101-109 - [i4]Naji Khosravan, Aliasghar Mortazi, Michael B. Wallace, Ulas Bagci:
PAN: Projective Adversarial Network for Medical Image Segmentation. CoRR abs/1906.04378 (2019) - [i3]Rodney LaLonde, Irene Tanner, Katerina Nikiforaki, Georgios Z. Papadakis, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
INN: Inflated Neural Networks for IPMN Diagnosis. CoRR abs/1907.00437 (2019) - 2018
- [c7]Sarfaraz Hussein, Pujan Kandel, Juan E. Corral, Candice W. Bolan, Michael B. Wallace
Deep multi-modal classification of intraductal papillary mucinous neoplasms (IPMN) with canonical correlation analysis. ISBI 2018: 800-804 - [i2]Sarfaraz Hussein, Maria M. J. Chuquicusma, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
Supervised and Unsupervised Tumor Characterization in the Deep Learning Era. CoRR abs/1801.03230 (2018) - 2017
- [i1]Sarfaraz Hussein, Pujan Kandel, Juan E. Corral, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
Deep Multi-Modal Classification of Intraductal Papillary Mucinous Neoplasms (IPMN) with Canonical Correlation Analysis. CoRR abs/1710.09779 (2017) - 2012
- [j2]Barbara André, Tom Vercauteren
Learning Semantic and Visual Similarity for Endomicroscopy Video Retrieval. IEEE Trans. Medical Imaging 31(6): 1276-1288 (2012) - 2011
- [j1]Barbara André, Tom Vercauteren
A smart atlas for endomicroscopy using automated video retrieval. Medical Image Anal. 15(4): 460-476 (2011) - [c6]Barbara André, Tom Vercauteren
Retrieval Evaluation and Distance Learning from Perceived Similarity between Endomicroscopy Videos. MICCAI (3) 2011: 297-304 - 2010
- [c5]Barbara André, Tom Vercauteren
Endomicroscopic video retrieval using mosaicing and visual words. ISBI 2010: 1419-1422 - [c4]Barbara André, Tom Vercauteren
An Image Retrieval Approach to Setup Difficulty Levels in Training Systems for Endomicroscopy Diagnosis. MICCAI (2) 2010: 480-487
2000 – 2009
- 2009
- [c3]Barbara André, Tom Vercauteren
Endomicroscopic Image Retrieval and Classification Using Invariant Visual Features. ISBI 2009: 346-349 - [c2]Barbara André, Tom Vercauteren
Introducing Space and Time in Local Feature-Based Endomicroscopic Image Retrieval. MCBR-CDS 2009: 18-30 - 2000
- [c1]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:
Remote clinical assessment of gastrointestinal endoscopy (tele-endoscopy): an initial experience. AMIA 2000
Coauthor Index
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