Deep learning for detecting robotic grasps von Lenz, Ian, Lee, Honglak, Saxena, Ashutosh

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Attribute2Image: Conditional Image Generation from Visual Attributes von Yan, Xinchen, Yang, Jimei, Sohn, Kihyuk, Lee, Honglak

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Learning hierarchical representations for face verification with convolutional deep belief networks von Huang, G. B., Honglak Lee, Learned-Miller, E.

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Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders von Jang, Jongseong, Kyung, Daeun, Kim, Seung Hwan, Lee, Honglak, Bae, Kyunghoon, Choi, Edward

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Attention-based solubility prediction of polysulfide and electrolyte analysis for lithium–sulfur batteries von Lee, Jaewan, Yang, Hongjun, Park, Changyoung, Park, Seong-Hyo, Jang, Eunji, Kwack, Hobeom, Lee, Chang Hoon, Song, Chang-ik, Choi, Young Cheol, Han, Sehui, Lee, Honglak

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Efficient learning of sparse, distributed, convolutional feature representations for object recognition von Kihyuk Sohn, Dae Yon Jung, Honglak Lee, Hero, A. O.

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A Dynamic Bayesian Network Model for Autonomous 3D Reconstruction from a Single Indoor Image von Delage, E., Honglak Lee, Ng, A.Y.

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Editorial introduction to the Neural Networks special issue on Deep Learning of Representations von Bengio, Yoshua, Lee, Honglak

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An efficient branch-and-bound algorithm for optimal human pose estimation von Min Sun, Telaprolu, M., Honglak Lee, Savarese, S.

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Mutual physical state-aware object handover in full-contact collaborative human-robot construction work von Yu, Hongrui, Kamat, Vineet R., Menassa, Carol C., McGee, Wes, Guo, Yijie, Lee, Honglak

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Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks von Hollon, Todd C., Pandian, Balaji, Adapa, Arjun R., Urias, Esteban, Save, Akshay V., Khalsa, Siri Sahib S., Eichberg, Daniel G., D’Amico, Randy S., Farooq, Zia U., Lewis, Spencer, Petridis, Petros D., Marie, Tamara, Shah, Ashish H., Garton, Hugh J. L., Maher, Cormac O., Heth, Jason A., McKean, Erin L., Sullivan, Stephen E., Hervey-Jumper, Shawn L., Patil, Parag G., Thompson, B. Gregory, Sagher, Oren, McKhann, Guy M., Komotar, Ricardo J., Ivan, Michael E., Snuderl, Matija, Otten, Marc L., Johnson, Timothy D., Sisti, Michael B., Bruce, Jeffrey N., Muraszko, Karin M., Trautman, Jay, Freudiger, Christian W., Canoll, Peter, Lee, Honglak, Camelo-Piragua, Sandra, Orringer, Daniel A.

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Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging von Hollon, Todd, Jiang, Cheng, Chowdury, Asadur, Nasir-Moin, Mustafa, Kondepudi, Akhil, Aabedi, Alexander, Adapa, Arjun, Al-Holou, Wajd, Heth, Jason, Sagher, Oren, Lowenstein, Pedro, Castro, Maria, Wadiura, Lisa Irina, Widhalm, Georg, Neuschmelting, Volker, Reinecke, David, von Spreckelsen, Niklas, Berger, Mitchel S., Hervey-Jumper, Shawn L., Golfinos, John G., Snuderl, Matija, Camelo-Piragua, Sandra, Freudiger, Christian, Lee, Honglak, Orringer, Daniel A.

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Improving Design Preference Prediction Accuracy Using Feature Learning von Burnap, Alex, Pan, Yanxin, Liu, Ye, Ren, Yi, Lee, Honglak, Gonzalez, Richard, Papalambros, Panos Y

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View Selection for 3D Captioning via Diffusion Ranking von Luo, Tiange, Johnson, Justin, Lee, Honglak

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Foundation models for fast, label-free detection of glioma infiltration von Kondepudi, Akhil, Pekmezci, Melike, Hou, Xinhai, Scotford, Katie, Jiang, Cheng, Rao, Akshay, Harake, Edward S, Chowdury, Asadur, Al-Holou, Wajd, Wang, Lin, Pandey, Aditya, Lowenstein, Pedro R, Castro, Maria G, Koerner, Lisa Irina, Roetzer-Pejrimovsky, Thomas, Widhalm, Georg, Camelo-Piragua, Sandra, Movahed-Ezazi, Misha, Orringer, Daniel A, Lee, Honglak, Freudiger, Christian, Berger, Mitchel, Hervey-Jumper, Shawn, Hollon, Todd

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SURG-04. FAST DETECTION OF GLIOMA INFILTRATION USING LABEL-FREE OPTICAL MICROSCOPY AND DEEP NEURAL NETWORKS von Kondepudi, Akhil, Pekmezci, Melike, Scotford, Katie, Jiang, Cheng, Chowdury, Asadur, Hou, Xinhai, Wang, Lin, Al-Holou, Wajd, Camelo-Piragua, Sandra, Lee, Honglak, Freudiger, Christian, Berger, Mitchel, Hervey-Jumper, Shawn, Hollon, Todd

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High-Fidelity Synthesis with Disentangled Representation von Lee, Wonkwang, Kim, Donggyun, Hong, Seunghoon, Lee, Honglak

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Al-based molecular classification of diffuse gliomas using rapid, label-free optical imaging von Hollon, Todd, Jiang, Cheng, Chowdury, Asadur, Nasir-Moin, Mustafa, Kondepudi, Akhil, Aabedi, Alexander, Adapa, Arjun, Al-Holou, Wajd, Heth, Jason, Sagher, Oren, Lowenstein, Pedro, Castro, Maria, Wadiura, Lisa Irina, Widhalm, Georg, Movahed-Ezazi, Misha, Neuschmelting, Volker, Reinecke, David, von Spreckelsen, Niklas, Berger, Mitchell, Hervey-Jumper, Shawn, Golfinos, John, Camelo-Piragua, Sandra, Freudiger, Christian, Lee, Honglak, Orringer, Daniel

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Interpretable Text-to-Image Synthesis with Hierarchical Semantic Layout Generation von Hong, Seunghoon, Yang, Dingdong, Choi, Jongwook, Lee, Honglak

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Rapid, label-free detection of diffuse glioma recurrence using intraoperative stimulated Raman histology and deep neural networks von Hollon, Todd C, Pandian, Balaji, Urias, Esteban, Save, Akshay V, Adapa, Arjun R, Srinivasan, Sudharsan, Jairath, Neil K, Farooq, Zia, Marie, Tamara, Al-Holou, Wajd N, Eddy, Karen, Heth, Jason A, Khalsa, Siri Sahib S, Conway, Kyle, Sagher, Oren, Bruce, Jeffrey N, Canoll, Peter, Freudiger, Christian W, Camelo-Piragua, Sandra, Lee, Honglak, Orringer, Daniel A

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